From 6bf4c12b614d074051641e3fa88c929954bc70ad Mon Sep 17 00:00:00 2001
From: Paddy Mullen <paddy@paddymullen.com>
Date: Sun, 24 May 2026 14:44:01 -0400
Subject: [PATCH 1/2] feat(server): /load accepts column_config_overrides,
 extra_grid_config, init_sd
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The headless ServerDataflow that powers mode="buckaroo" sessions
already supports these kwargs (it inherits CustomizableDataflow); they
just weren't exposed through the POST /load body. Now you can match a
notebook BuckarooInfiniteWidget invocation server-side:

    POST /load { "session": "demo", "path": "...", "mode": "buckaroo",
                 "column_config_overrides": {...},
                 "extra_grid_config": {"rowHeight": 70},
                 "init_sd": {...} }

All three are optional. Existing /load calls (which don't include the
new fields) are unchanged — body.get(...) returns None and the
dataflow handles None just like the widget does.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---
 buckaroo/server/data_loading.py  | 13 +++--
 buckaroo/server/handlers.py      | 11 +++-
 tests/unit/server/test_server.py | 86 ++++++++++++++++++++++++++++++++
 3 files changed, 106 insertions(+), 4 deletions(-)

diff --git a/buckaroo/server/data_loading.py b/buckaroo/server/data_loading.py
index eddc72ac6..0f66dad4f 100644
--- a/buckaroo/server/data_loading.py
+++ b/buckaroo/server/data_loading.py
@@ -52,9 +52,16 @@ def _df_to_obj(self, df):
         return pd_to_obj(df)
 
 
-def create_dataflow(df: pd.DataFrame) -> ServerDataflow:
-    """Instantiate the full Buckaroo analysis pipeline headlessly."""
-    return ServerDataflow(df, skip_main_serial=True)
+def create_dataflow(df: pd.DataFrame, column_config_overrides=None, extra_grid_config=None, init_sd=None) -> ServerDataflow:
+    """Instantiate the full Buckaroo analysis pipeline headlessly.
+
+    Accepts the same per-column / per-grid configuration kwargs that
+    ``BuckarooInfiniteWidget`` does so server-mode sessions can match the
+    look of a notebook widget. ``LoadHandler`` forwards the matching
+    request-body fields here.
+    """
+    return ServerDataflow(df, column_config_overrides=column_config_overrides, extra_grid_config=extra_grid_config,
+        init_sd=init_sd, skip_main_serial=True)
 
 
 def get_buckaroo_display_state(dataflow: ServerDataflow) -> dict:
diff --git a/buckaroo/server/handlers.py b/buckaroo/server/handlers.py
index bbbe93f67..532fdad74 100644
--- a/buckaroo/server/handlers.py
+++ b/buckaroo/server/handlers.py
@@ -233,6 +233,14 @@ async def post(self):
         if session_id is None:
             return
 
+        # Optional per-column / per-grid configuration that mirrors the
+        # matching kwargs on BuckarooInfiniteWidget. Only applied for
+        # mode="buckaroo" where the full dataflow is built (lazy/viewer
+        # paths don't carry merged_sd / extra_grid_config).
+        column_config_overrides = body.get("column_config_overrides")
+        extra_grid_config = body.get("extra_grid_config")
+        init_sd = body.get("init_sd")
+
         sessions = self.application.settings["sessions"]
         session = sessions.get_or_create(session_id, path)
         session.mode = mode
@@ -262,7 +270,8 @@ async def post(self):
             session.df = file_obj
             session.metadata = metadata
             if mode == "buckaroo":
-                dataflow = create_dataflow(file_obj)
+                dataflow = create_dataflow(file_obj, column_config_overrides=column_config_overrides,
+                    extra_grid_config=extra_grid_config, init_sd=init_sd)
                 session.dataflow = dataflow
                 buckaroo_state = get_buckaroo_display_state(dataflow)
                 session.df_display_args = buckaroo_state["df_display_args"]
diff --git a/tests/unit/server/test_server.py b/tests/unit/server/test_server.py
index 8eafa5a3f..bd3b0c8cf 100644
--- a/tests/unit/server/test_server.py
+++ b/tests/unit/server/test_server.py
@@ -101,6 +101,92 @@ def test_load_unsupported_format(self):
             finally:
                 os.unlink(f.name)
 
+    def test_load_buckaroo_with_column_config_overrides(self):
+        """POST /load with column_config_overrides should plumb through to
+        the headless ServerDataflow so server-mode sessions can match a
+        notebook widget's per-column display config (#860 demo case:
+        PolarsBuckarooInfiniteWidget(df, init_sd=column_config_overrides, ...))."""
+        with tempfile.NamedTemporaryFile(suffix=".csv", delete=False) as f:
+            _write_test_csv(f.name)
+            try:
+                overrides = {"name": {"displayer_args": {"displayer": "string", "max_length": 5000}}}
+                resp = self.fetch("/load", method="POST",
+                    body=json.dumps({"session": "cco-1", "path": f.name, "mode": "buckaroo",
+                        "column_config_overrides": overrides}),
+                    headers={"Content-Type": "application/json"})
+                self.assertEqual(resp.code, 200)
+
+                sessions = self._app.settings["sessions"]
+                session = sessions.get("cco-1")
+                self.assertIsNotNone(session)
+                dvc = session.df_display_args["main"]["df_viewer_config"]
+                # header_name carries the original column name; col_name is
+                # the renamed (a/b/c/...) version.
+                name_col = next(cc for cc in dvc["column_config"]
+                    if cc.get("header_name") == "name")
+                self.assertEqual(name_col["displayer_args"]["displayer"], "string")
+                self.assertEqual(name_col["displayer_args"]["max_length"], 5000)
+            finally:
+                os.unlink(f.name)
+
+    def test_load_buckaroo_with_extra_grid_config(self):
+        """POST /load with extra_grid_config (rowHeight etc.) should
+        reach df_viewer_config so AG-Grid picks it up."""
+        with tempfile.NamedTemporaryFile(suffix=".csv", delete=False) as f:
+            _write_test_csv(f.name)
+            try:
+                grid_cfg = {"rowHeight": 70, "pinnedRowHeight": 21}
+                resp = self.fetch("/load", method="POST",
+                    body=json.dumps({"session": "egc-1", "path": f.name, "mode": "buckaroo",
+                        "extra_grid_config": grid_cfg}),
+                    headers={"Content-Type": "application/json"})
+                self.assertEqual(resp.code, 200)
+
+                session = self._app.settings["sessions"].get("egc-1")
+                dvc = session.df_display_args["main"]["df_viewer_config"]
+                self.assertEqual(dvc.get("extra_grid_config"), grid_cfg)
+            finally:
+                os.unlink(f.name)
+
+    def test_load_buckaroo_with_init_sd(self):
+        """POST /load with init_sd should apply to the headless dataflow
+        the same way as the widget's init_sd kwarg."""
+        with tempfile.NamedTemporaryFile(suffix=".csv", delete=False) as f:
+            _write_test_csv(f.name)
+            try:
+                init_sd = {"name": {"displayer_args": {"displayer": "string", "max_length": 200}}}
+                resp = self.fetch("/load", method="POST",
+                    body=json.dumps({"session": "isd-1", "path": f.name, "mode": "buckaroo", "init_sd": init_sd}),
+                    headers={"Content-Type": "application/json"})
+                self.assertEqual(resp.code, 200)
+
+                session = self._app.settings["sessions"].get("isd-1")
+                dvc = session.df_display_args["main"]["df_viewer_config"]
+                name_col = next(cc for cc in dvc["column_config"]
+                    if cc.get("header_name") == "name")
+                self.assertEqual(name_col["displayer_args"]["displayer"], "string")
+                self.assertEqual(name_col["displayer_args"]["max_length"], 200)
+            finally:
+                os.unlink(f.name)
+
+    def test_load_buckaroo_without_optional_configs_keeps_defaults(self):
+        """Default behaviour: omitting the new kwargs leaves
+        extra_grid_config as the empty-dict default the headless dataflow
+        already emits — same as a notebook BuckarooInfiniteWidget(df)."""
+        with tempfile.NamedTemporaryFile(suffix=".csv", delete=False) as f:
+            _write_test_csv(f.name)
+            try:
+                resp = self.fetch("/load", method="POST",
+                    body=json.dumps({"session": "plain-1", "path": f.name, "mode": "buckaroo"}),
+                    headers={"Content-Type": "application/json"})
+                self.assertEqual(resp.code, 200)
+
+                session = self._app.settings["sessions"].get("plain-1")
+                dvc = session.df_display_args["main"]["df_viewer_config"]
+                self.assertEqual(dvc.get("extra_grid_config"), {})
+            finally:
+                os.unlink(f.name)
+
 
 class TestSessionPage(tornado.testing.AsyncHTTPTestCase):
     def get_app(self):

From 9fe25809d8cd15d935813c61ab89c731f80be631 Mon Sep 17 00:00:00 2001
From: Paddy Mullen <paddy@paddymullen.com>
Date: Sun, 31 May 2026 15:01:16 -0400
Subject: [PATCH 2/2] feat(server): /load backend=polars + per-client search
 isolation (#851)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Captures work-in-progress standalone-server /load enhancements that were
sitting uncommitted on feat/load-column-config-overrides.

* backend='polars' for POST /load — new data_loading_polars.py
  (PolarsServerDataflow, load_file_polars, get_metadata_polars,
  handle_infinite_request_buckaroo_polars). mode='buckaroo' can now build
  a polars-backed dataflow. handlers.py validates/routes the backend;
  websocket_handler.py routes the infinite row-fetch to the polars
  handler. polars stays optional — imported lazily only when requested.

* Per-client search_string (#851): search_string moves off the shared
  SessionState onto each DataStreamHandler. Two clients sharing a session
  were clobbering each other's live-typed filter. A targeted highlight
  overlay (_send_highlight_overlay) goes to the typing client only; the
  term is stripped before snapshotting onto the session and reset to ""
  on every new /load.

* /load_expr config parity: LoadExprHandler forwards
  column_config_overrides / extra_grid_config / init_sd to
  XorqServerDataflow (mirrors the /load kwargs added in 6bf4c12b).

* styling: merge init_sd displayer_args before injecting lowcode-op
  highlight metadata, so an init_sd-promoted string column still picks
  up highlight_phrase and an explicit init_sd highlight wins.

* deps: add matplotlib (used by customizations/histogram.py).

* js: DFViewerDirect storybook story (direct <DFViewer> consumer demo).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---
 buckaroo/customizations/styling.py            |  21 +-
 buckaroo/server/data_loading_polars.py        | 136 ++++++++
 buckaroo/server/handlers.py                   | 104 ++++--
 buckaroo/server/session.py                    |  10 +-
 buckaroo/server/websocket_handler.py          | 102 ++++--
 .../src/stories/DFViewerDirect.stories.tsx    | 115 +++++++
 pyproject.toml                                |   1 +
 uv.lock                                       | 323 ++++++++++++++++++
 8 files changed, 759 insertions(+), 53 deletions(-)
 create mode 100644 buckaroo/server/data_loading_polars.py
 create mode 100644 packages/buckaroo-js-core/src/stories/DFViewerDirect.stories.tsx

diff --git a/buckaroo/customizations/styling.py b/buckaroo/customizations/styling.py
index ef2ed5b04..d23ae8196 100644
--- a/buckaroo/customizations/styling.py
+++ b/buckaroo/customizations/styling.py
@@ -100,19 +100,24 @@ def style_column(kls, col:str, column_metadata: Any) -> Any:
         else:
             disp = {'displayer': 'obj'}
             base_config['tooltip_config'] = {'tooltip_type':'simple', 'val_column': str(col)}
-        # Lowcode ops (e.g. Search) contribute highlight metadata via SDResult;
-        # the JS string displayer reads these from displayer_args.
-        if disp.get('displayer') == 'string':
-            for k in ('highlight_phrase', 'highlight_regex', 'highlight_color'):
-                if k in column_metadata:
-                    disp[k] = column_metadata[k]
         # init_sd users may pass the same nested shape they'd use in
         # column_config_overrides — e.g. {'comments': {'displayer_args':
         # {'max_length': 2000}}}. Shallow-merge that into disp so init_sd
-        # augments (rather than replaces) styling's computed displayer_args
-        # AND coexists with op-supplied highlights. Caller wins per-key.
+        # augments (rather than replaces) styling's computed displayer_args.
+        # Done BEFORE the highlight branch so a column whose pandas ``_type``
+        # is 'obj' but which init_sd promotes to ``displayer: 'string'``
+        # (long-text columns like comments are the canonical case) still
+        # picks up lowcode-op highlight_phrase. Caller wins per-key.
         if isinstance(column_metadata.get('displayer_args'), dict):
             disp.update(column_metadata['displayer_args'])
+        # Lowcode ops (e.g. Search) contribute highlight metadata via SDResult;
+        # the JS string displayer reads these from displayer_args. Skip
+        # injecting any key the caller already set above, so an explicit
+        # init_sd ``displayer_args.highlight_phrase`` still wins.
+        if disp.get('displayer') == 'string':
+            for k in ('highlight_phrase', 'highlight_regex', 'highlight_color'):
+                if k in column_metadata and k not in disp:
+                    disp[k] = column_metadata[k]
         base_config['displayer_args'] = disp
 
         # Compute content-aware minWidth
diff --git a/buckaroo/server/data_loading_polars.py b/buckaroo/server/data_loading_polars.py
new file mode 100644
index 000000000..9ed3782f6
--- /dev/null
+++ b/buckaroo/server/data_loading_polars.py
@@ -0,0 +1,136 @@
+"""Polars counterparts of the pandas-based loaders in ``data_loading``.
+
+Lives in its own module so polars stays an optional dependency — the
+server only imports this when ``/load`` is called with
+``backend: "polars"``. Mirrors the shape of ``data_loading``:
+
+* :func:`load_file_polars` reads parquet/csv/tsv/json eagerly into a
+  ``pl.DataFrame``.
+* :class:`PolarsServerDataflow` is the polars analogue of
+  ``ServerDataflow`` — same role in the pipeline, polars-flavored
+  analysis / autocleaning / stats / sampling classes (lifted from
+  ``PolarsBuckarooInfiniteWidget``).
+* :func:`handle_infinite_request_buckaroo_polars` is the polars
+  equivalent of ``handle_infinite_request_buckaroo`` — applies the
+  per-client live ``search_string`` as a literal substring match
+  on String columns (mirrors ``search_df_str`` semantics from the
+  pandas path so the client-facing behaviour is identical).
+"""
+import os
+import traceback
+from io import BytesIO
+
+import polars as pl
+
+from buckaroo.dataflow.dataflow import CustomizableDataflow
+from buckaroo.dataflow.autocleaning import PandasAutocleaning
+from buckaroo.customizations.pl_autocleaning_conf import NoCleaningConfPl
+from buckaroo.pluggable_analysis_framework.df_stats_v2 import PlDfStatsV2
+from buckaroo.polars_buckaroo import (
+    PLSampling, local_analysis_klasses, prepare_df_for_serialization)
+from buckaroo.serialization_utils import pd_to_obj
+
+
+class PolarsServerSampling(PLSampling):
+    """Server-mode polars sampling. Inherits ``PLSampling``'s widget
+    defaults but caps pre-stats work at ``pre_limit`` so a multi-million-row
+    /load doesn't OOM the stats pipeline."""
+    pre_limit = 1_000_000
+    serialize_limit = -1  # infinite mode — no per-page sample cap
+
+
+class PolarsServerDataflow(CustomizableDataflow):
+    """Headless polars dataflow matching ``PolarsBuckarooInfiniteWidget``."""
+    analysis_klasses = local_analysis_klasses
+    autocleaning_klass = PandasAutocleaning
+    autoclean_conf = tuple([NoCleaningConfPl])
+    DFStatsClass = PlDfStatsV2
+    sampling_klass = PolarsServerSampling
+
+    def _df_to_obj(self, df):
+        # Matches PolarsBuckarooWidget._df_to_obj — pandas frames pass
+        # straight through, polars frames go via to_pandas for the JSON
+        # initial-state path. (The hot path is the parquet infinite handler
+        # below, not this; this is only the initial empty/seed payload.)
+        import pandas as pd
+        if isinstance(df, pd.DataFrame):
+            return pd_to_obj(self.sampling_klass.serialize_sample(df))
+        return pd_to_obj(self.sampling_klass.serialize_sample(df.to_pandas()))
+
+
+def load_file_polars(path: str) -> pl.DataFrame:
+    """Eager polars read. Extension dispatch mirrors :func:`load_file`."""
+    ext = os.path.splitext(path)[1].lower()
+    if ext == ".csv":
+        return pl.read_csv(path)
+    elif ext == ".tsv":
+        return pl.read_csv(path, separator="\t")
+    elif ext in (".parquet", ".parq"):
+        return pl.read_parquet(path)
+    elif ext == ".json":
+        return pl.read_ndjson(path)
+    else:
+        raise ValueError(f"Unsupported file format: {ext}")
+
+
+def get_metadata_polars(df: pl.DataFrame, path: str) -> dict:
+    columns = [{"name": str(c), "dtype": str(d)} for c, d in zip(df.columns, df.dtypes)]
+    return {"path": path, "rows": len(df), "columns": columns}
+
+
+def create_polars_dataflow(df, column_config_overrides=None, extra_grid_config=None, init_sd=None) -> PolarsServerDataflow:
+    return PolarsServerDataflow(df, column_config_overrides=column_config_overrides,
+        extra_grid_config=extra_grid_config, init_sd=init_sd, skip_main_serial=True)
+
+
+def handle_infinite_request_buckaroo_polars(
+    dataflow: PolarsServerDataflow, payload_args: dict, search_string: str = ""
+) -> tuple[dict, bytes]:
+    """Polars analogue of :func:`handle_infinite_request_buckaroo`.
+
+    ``search_string`` is the per-client live-typed filter (#838) —
+    applied as a literal substring match across all polars ``String``
+    columns. Literal (``literal=True``) so user typing isn't treated
+    as regex; this matches the pandas server path's ``search_df_str``
+    semantics.
+    """
+    from buckaroo.server.window import clamp_window
+
+    _unused, processed_df, merged_sd = dataflow.widget_args_tuple
+    if processed_df is None:
+        return ({"type": "infinite_resp", "key": payload_args, "data": [], "length": 0}, b"")
+    try:
+        if search_string:
+            string_cols = [c for c, dt in zip(processed_df.columns, processed_df.dtypes)
+                if dt == pl.String]
+            if string_cols:
+                mask = pl.any_horizontal(
+                    pl.col(c).str.contains(search_string, literal=True)
+                    for c in string_cols)
+                filtered_df = processed_df.filter(mask)
+            else:
+                filtered_df = processed_df
+        else:
+            filtered_df = processed_df
+
+        start, end = clamp_window(
+            payload_args.get("start"), payload_args.get("end"), len(filtered_df))
+
+        sort = payload_args.get("sort")
+        if sort:
+            ascending = payload_args.get("sort_direction") == "asc"
+            converted_sort_column = merged_sd[sort]["orig_col_name"]
+            sorted_df = filtered_df.with_row_index().sort(
+                converted_sort_column, descending=not ascending)
+            slice_df = sorted_df[start:end]
+        else:
+            slice_df = filtered_df.with_row_index()[start:end]
+
+        out = BytesIO()
+        prepare_df_for_serialization(slice_df).write_parquet(out, compression="uncompressed")
+        parquet_bytes = out.getvalue()
+        msg = {"type": "infinite_resp", "key": payload_args, "data": [], "length": len(filtered_df)}
+        return msg, parquet_bytes
+    except Exception:
+        return ({"type": "infinite_resp", "key": payload_args, "data": [], "length": 0,
+            "error_info": traceback.format_exc()}, b"")
diff --git a/buckaroo/server/handlers.py b/buckaroo/server/handlers.py
index 532fdad74..8a1483ab0 100644
--- a/buckaroo/server/handlers.py
+++ b/buckaroo/server/handlers.py
@@ -137,7 +137,7 @@ def _parse_request_body(self) -> dict:
     def _validate_request(self, body: dict) -> tuple:
         """Validate and extract session_id, path, mode, prompt, no_browser, and component_config from request.
 
-        Returns (session_id, path, mode, prompt, no_browser, component_config) or a tuple of Nones on error.
+        Returns (session_id, path, mode, prompt, no_browser, component_config, backend) or a tuple of Nones on error.
 
         ``session`` is optional — when omitted the server mints a UUID and
         returns it in the response. Lets Tauri/Electron-style hosts call /load
@@ -149,7 +149,7 @@ def _validate_request(self, body: dict) -> tuple:
         if not path:
             self.set_status(400)
             self.write({"error": "Missing 'path'"})
-            return None, None, None, None, None, None
+            return None, None, None, None, None, None, None
 
         if not session_id:
             session_id = uuid.uuid4().hex
@@ -158,7 +158,12 @@ def _validate_request(self, body: dict) -> tuple:
         prompt = body.get("prompt", "")
         no_browser = bool(body.get("no_browser", False))
         component_config = body.get("component_config")
-        return session_id, path, mode, prompt, no_browser, component_config
+        # ``backend`` is mode="buckaroo"-only: "pandas" (default) builds a
+        # ServerDataflow against pandas; "polars" builds a PolarsServerDataflow.
+        # Validated/branched in ``post`` — silently passed through here so a
+        # bad value surfaces as a 400 from the loader, not a TypeError.
+        backend = str(body.get("backend", "pandas")).lower()
+        return session_id, path, mode, prompt, no_browser, component_config, backend
 
     def _load_lazy_polars(self, session, path: str, ldf, metadata: dict):
         """Set up lazy polars session state."""
@@ -175,7 +180,12 @@ def _load_lazy_polars(self, session, path: str, ldf, metadata: dict):
         return True
 
     def _push_state_to_clients(self, session, metadata: dict):
-        """Push updated state to all connected WebSocket clients."""
+        """Push updated state to all connected WebSocket clients.
+
+        Also resets each client's live ``search_string`` (#851): the
+        dataset just changed, so a term carried over from the previous
+        load would silently filter the new one.
+        """
         log.info("push_state path=%s ws_clients=%d", metadata.get("filename", "?"), len(session.ws_clients))
         if not session.ws_clients:
             return
@@ -183,6 +193,7 @@ def _push_state_to_clients(self, session, metadata: dict):
         push_msg = json.dumps(build_state_message(session, metadata=metadata))
         for client in list(session.ws_clients):
             try:
+                client.search_string = ""
                 client.write_message(push_msg)
             except Exception:
                 session.ws_clients.discard(client)
@@ -195,6 +206,38 @@ def _handle_browser_window(self, session_id: str) -> str:
         port = self.application.settings["port"]
         return find_or_create_session_window(session_id, port, reload_if_found=True)
 
+    def _load_polars_with_error_handling(self, path: str):
+        """Eager polars load for ``backend='polars'``. Errors share the
+        same shape as the pandas loader so the response surface is
+        identical from the client's POV."""
+        try:
+            from buckaroo.server.data_loading_polars import load_file_polars, get_metadata_polars
+            df = load_file_polars(path)
+            metadata = get_metadata_polars(df, path)
+            return df, metadata
+        except FileNotFoundError:
+            self.set_status(404)
+            self.write({"error_code": "file_not_found", "message": f"File not found: {path}"})
+            return None, None
+        except ImportError:
+            self.set_status(400)
+            self.write({"error_code": "missing_dependency",
+                "message": "backend='polars' requires polars to be installed"})
+            return None, None
+        except ValueError as e:
+            self.set_status(400)
+            self.write({"error_code": "invalid_file", "message": str(e)})
+            return None, None
+        except Exception:
+            tb = traceback.format_exc()
+            log.error("polars load error path=%s: %s", path, tb)
+            resp: dict = {"error_code": "load_error", "message": "Failed to load file"}
+            if _BUCKAROO_DEBUG:
+                resp["details"] = tb
+            self.set_status(500)
+            self.write(resp)
+            return None, None
+
     def _load_file_with_error_handling(self, path: str, is_lazy: bool):
         """Load file and handle errors. Returns (file_obj, metadata) or (None, None)."""
         try:
@@ -229,10 +272,23 @@ async def post(self):
         if body is None:
             return
 
-        session_id, path, mode, prompt, no_browser, component_config = self._validate_request(body)
+        session_id, path, mode, prompt, no_browser, component_config, backend = self._validate_request(body)
         if session_id is None:
             return
 
+        # ``backend`` only affects mode="buckaroo". Reject early so a
+        # mismatched lazy/viewer request doesn't silently look fine.
+        if backend not in ("pandas", "polars"):
+            self.set_status(400)
+            self.write({"error_code": "invalid_backend",
+                "message": f"backend must be 'pandas' or 'polars', got {backend!r}"})
+            return
+        if backend == "polars" and mode != "buckaroo":
+            self.set_status(400)
+            self.write({"error_code": "invalid_backend",
+                "message": "backend='polars' is only valid with mode='buckaroo'"})
+            return
+
         # Optional per-column / per-grid configuration that mirrors the
         # matching kwargs on BuckarooInfiniteWidget. Only applied for
         # mode="buckaroo" where the full dataflow is built (lazy/viewer
@@ -244,23 +300,21 @@ async def post(self):
         sessions = self.application.settings["sessions"]
         session = sessions.get_or_create(session_id, path)
         session.mode = mode
-        # Loading via /load is always pandas — clear any xorq state left
-        # by a prior /load_expr on the same session so WS dispatch routes
-        # to the new pandas dataflow rather than a stale xorq one.
-        session.backend = "pandas"
+        # Loading via /load is always pandas or polars — clear any xorq state
+        # left by a prior /load_expr on the same session so WS dispatch routes
+        # to the new dataflow rather than a stale xorq one.
+        session.backend = backend
         session.xorq_dataflow = None
         session.expr = None
-        # Reset the live-typed row-fetch filter so a search term carried
-        # over from a prior dataset on this session doesn't silently
-        # filter the new one (Codex P1 on #839). The client's fresh
-        # buckaroo_state has search_string="" — keep the server in sync.
-        session.search_string = ""
         session.prompt = prompt
         if component_config:
             session.component_config = component_config
 
         # Load data in appropriate mode
-        file_obj, metadata = self._load_file_with_error_handling(path, is_lazy=(mode == "lazy"))
+        if backend == "polars" and mode == "buckaroo":
+            file_obj, metadata = self._load_polars_with_error_handling(path)
+        else:
+            file_obj, metadata = self._load_file_with_error_handling(path, is_lazy=(mode == "lazy"))
         if file_obj is None:
             return
 
@@ -270,8 +324,13 @@ async def post(self):
             session.df = file_obj
             session.metadata = metadata
             if mode == "buckaroo":
-                dataflow = create_dataflow(file_obj, column_config_overrides=column_config_overrides,
-                    extra_grid_config=extra_grid_config, init_sd=init_sd)
+                if backend == "polars":
+                    from buckaroo.server.data_loading_polars import create_polars_dataflow
+                    dataflow = create_polars_dataflow(file_obj, column_config_overrides=column_config_overrides,
+                        extra_grid_config=extra_grid_config, init_sd=init_sd)
+                else:
+                    dataflow = create_dataflow(file_obj, column_config_overrides=column_config_overrides,
+                        extra_grid_config=extra_grid_config, init_sd=init_sd)
                 session.dataflow = dataflow
                 buckaroo_state = get_buckaroo_display_state(dataflow)
                 session.df_display_args = buckaroo_state["df_display_args"]
@@ -358,6 +417,9 @@ async def post(self):
         prompt = body.get("prompt", "")
         no_browser = bool(body.get("no_browser", False))
         component_config = body.get("component_config")
+        column_config_overrides = body.get("column_config_overrides")
+        extra_grid_config = body.get("extra_grid_config")
+        init_sd = body.get("init_sd")
 
         project_root = body.get("project_root")
 
@@ -368,7 +430,9 @@ async def post(self):
                 + xorq_loading.load_project_post_processing_klasses(project_root)
                 if project_root else [])
             xorq_dataflow = xorq_loading.XorqServerDataflow(
-                expr, skip_main_serial=True, extra_klasses=extra_klasses)
+                expr, skip_main_serial=True, extra_klasses=extra_klasses,
+                column_config_overrides=column_config_overrides,
+                extra_grid_config=extra_grid_config, init_sd=init_sd)
             metadata = xorq_loading.get_xorq_metadata(xorq_dataflow, build_dir)
         except FileNotFoundError:
             self.set_status(404)
@@ -397,9 +461,6 @@ async def post(self):
         session.df = None
         session.dataflow = None
         session.ldf = None
-        # Reset the live-typed row-fetch filter so a prior term doesn't
-        # silently filter the freshly loaded expression (Codex P1 on #839).
-        session.search_string = ""
         session.metadata = metadata
         session.prompt = prompt
         if component_config:
@@ -431,6 +492,7 @@ async def post(self):
             push_msg = json.dumps(build_state_message(session, metadata=metadata))
             for client in list(session.ws_clients):
                 try:
+                    client.search_string = ""
                     client.write_message(push_msg)
                 except Exception:
                     session.ws_clients.discard(client)
diff --git a/buckaroo/server/session.py b/buckaroo/server/session.py
index e3601701c..3b15b0eb3 100644
--- a/buckaroo/server/session.py
+++ b/buckaroo/server/session.py
@@ -33,11 +33,11 @@ class SessionState:
     xorq_dataflow: Any = None  # XorqServerDataflow when backend="xorq"
     expr: Any = None  # ibis/xorq expression when backend="xorq"
     buckaroo_state: dict = field(default_factory=dict)
-    # Live search term applied at row-fetch time (#838) — bypasses the
-    # dataflow stat pipeline that ``quick_command_args.search`` goes
-    # through, so per-keystroke filtering stays fast on parquet-backed
-    # exprs with ~10⁶ rows.
-    search_string: str = ""
+    # NOTE: ``search_string`` used to live here, but it's per-client typing
+    # state (not a session-wide property). Two clients sharing a session
+    # were clobbering each other's input via the rebroadcast path (#851).
+    # It now lives on ``DataStreamHandler`` instances; this comment is the
+    # tombstone so anyone reading state ordering doesn't expect it back.
     buckaroo_options: dict = field(default_factory=dict)
     command_config: dict = field(default_factory=dict)
     operation_results: dict = field(default_factory=dict)
diff --git a/buckaroo/server/websocket_handler.py b/buckaroo/server/websocket_handler.py
index ccea65e8d..55c2cb4f9 100644
--- a/buckaroo/server/websocket_handler.py
+++ b/buckaroo/server/websocket_handler.py
@@ -1,3 +1,4 @@
+import copy
 import json
 import logging
 import os
@@ -20,16 +21,21 @@ def _handle_infinite_request_xorq(xorq_dataflow, payload_args, search_string="")
 
 _BUCKAROO_DEBUG = os.environ.get("BUCKAROO_DEBUG", "").lower() in ("1", "true")
 
-# Fields in buckaroo_state that drive dataflow changes; others are ignored.
-# search_string lives here too — it doesn't touch the dataflow itself but
-# the row-fetch dispatch reads ``session.search_string`` and applies a
-# literal-contains filter before paginating (#838).
-_DATAFLOW_FIELDS = ("post_processing", "cleaning_method", "quick_command_args", "search_string")
+# Fields in buckaroo_state that drive *dataflow* changes; mutations to
+# any of these rebuild the dataflow and rebroadcast to every client.
+# ``search_string`` is deliberately NOT here — it's per-client typing
+# state owned by the handler instance (#851).
+_DATAFLOW_FIELDS = ("post_processing", "cleaning_method", "quick_command_args")
 
 
 class DataStreamHandler(tornado.websocket.WebSocketHandler):
     def open(self, session_id):
         self.session_id = session_id
+        # Per-client live search term (#838, fix for #851/cross-client
+        # pollution). Used only by the row-fetch filter and the per-client
+        # highlight overlay below — never broadcast, never stored on the
+        # session.
+        self.search_string = ""
         sessions = self.application.settings["sessions"]
         sessions.add_ws_client(session_id, self)
 
@@ -67,8 +73,26 @@ def _handle_buckaroo_state_change(self, new_state):
             if not isinstance(new_state, dict):
                 raise ValueError(f"new_state must be a dict, got {type(new_state).__name__}")
 
+            # Decide up front whether the dataflow path will run, so we
+            # don't both (a) send a per-client overlay AND (b) broadcast
+            # an initial_state in the same turn. The broadcast already
+            # carries any highlight_phrase that ``quick_command_args.search``
+            # produced via cleaning_sd, so the overlay would be redundant
+            # (and tests/clients that read one message back would see two).
+            dataflow_changed = any(old_state.get(f) != new_state.get(f) for f in _DATAFLOW_FIELDS)
+
+            # Per-client live search (#838 / #851). Update self; if no
+            # dataflow change is coming, send a targeted highlight overlay
+            # to this client only. Never touches the session, never broadcasts.
+            new_search = new_state.get("search_string", "")
+            new_search = new_search if isinstance(new_search, str) else ""
+            if self.search_string != new_search:
+                self.search_string = new_search
+                if not dataflow_changed:
+                    self._send_highlight_overlay(session)
+
             # Skip if no effective change to the fields that drive the dataflow.
-            if all(old_state.get(f) == new_state.get(f) for f in _DATAFLOW_FIELDS):
+            if not dataflow_changed:
                 log.debug("buckaroo_state_change no-op session=%s — skipping rebroadcast", self.session_id)
                 return
 
@@ -79,12 +103,6 @@ def _handle_buckaroo_state_change(self, new_state):
                 dataflow.cleaning_method = new_state.get("cleaning_method", "")
             if old_state.get("quick_command_args") != new_state.get("quick_command_args"):
                 dataflow.quick_command_args = new_state.get("quick_command_args", {})
-            # search_string is stored on the session — the row-fetch
-            # dispatch reads it instead of pushing it into the dataflow
-            # (#838). Coerce non-string to "" so a malformed payload can't
-            # crash the filter helpers downstream.
-            new_search = new_state.get("search_string", "")
-            session.search_string = new_search if isinstance(new_search, str) else ""
 
             # Re-extract state from the dataflow — same helper works for both
             # ServerDataflow and XorqServerDataflow (verified by probe).
@@ -92,7 +110,10 @@ def _handle_buckaroo_state_change(self, new_state):
             session.df_display_args = buckaroo_state["df_display_args"]
             session.df_data_dict = buckaroo_state["df_data_dict"]
             session.df_meta = buckaroo_state["df_meta"]
-            session.buckaroo_state = new_state
+            # Strip search_string before snapshotting onto the session — it
+            # belongs to this client only (#851), so a future client that
+            # connects shouldn't inherit it via build_state_message.
+            session.buckaroo_state = {k: v for k, v in new_state.items() if k != "search_string"}
             session.buckaroo_options = buckaroo_state["buckaroo_options"]
             session.command_config = buckaroo_state["command_config"]
 
@@ -121,6 +142,44 @@ def _handle_buckaroo_state_change(self, new_state):
                 err["details"] = tb
             self.write_message(json.dumps(err))
 
+    def _send_highlight_overlay(self, session):
+        """Send this client an ``initial_state`` with highlight_phrase
+        injected into every string-column ``displayer_args`` so live-typed
+        matches highlight in the grid (#851).
+
+        Per-client because ``search_string`` is per-client — another
+        client's term must not bleed into this one's highlight, and a
+        broadcast initial_state would clobber every other input box. We
+        deep-copy ``session.df_display_args`` so the overlay never
+        mutates the shared session snapshot.
+
+        Empty term clears any prior highlight by sending the pristine
+        df_display_args back. Skipped when no display config is loaded
+        yet — the upcoming ``initial_state`` on first load will be
+        unhighlighted, which is correct (search starts empty).
+        """
+        if not session.df_display_args:
+            return
+        term = self.search_string
+        overlay = copy.deepcopy(session.df_display_args)
+        for dva in overlay.values():
+            dvc = (dva or {}).get("df_viewer_config") or {}
+            for col in dvc.get("column_config", []) or []:
+                disp = col.get("displayer_args")
+                if not isinstance(disp, dict) or disp.get("displayer") != "string":
+                    continue
+                if term:
+                    disp["highlight_phrase"] = [term]
+                else:
+                    disp.pop("highlight_phrase", None)
+
+        msg = build_state_message(session)
+        msg["df_display_args"] = overlay
+        try:
+            self.write_message(json.dumps(msg))
+        except Exception:
+            log.debug("highlight overlay write failed for session=%s", self.session_id)
+
     def _handle_infinite_request(self, payload_args):
         sessions = self.application.settings["sessions"]
         session = sessions.get(self.session_id)
@@ -131,17 +190,22 @@ def _handle_infinite_request(self, payload_args):
             return
 
         def _dispatch(pa):
-            # search_string is the per-session live-typed filter (#838) —
-            # passed alongside payload_args rather than mixed into it so
-            # the WS-level row-fetch contract (start/end/sort) stays
-            # untouched and each backend can apply the filter in its
-            # native expression layer.
-            search = session.search_string or ""
+            # search_string is the per-CLIENT live-typed filter (#838 /
+            # #851) — read off self so two clients sharing the session
+            # don't fight over each other's input. Passed alongside
+            # payload_args rather than mixed into it so the WS-level
+            # row-fetch contract (start/end/sort) stays untouched and
+            # each backend can apply the filter in its native
+            # expression layer.
+            search = self.search_string or ""
             if session.mode == "lazy" and session.ldf is not None:
                 return handle_infinite_request_lazy(session.ldf, session.orig_to_rw,
                     session.rw_to_orig, session.metadata.get("rows", 0), pa)
             if session.mode == "buckaroo" and session.backend == "xorq" and session.xorq_dataflow:
                 return _handle_infinite_request_xorq(session.xorq_dataflow, pa, search_string=search)
+            if session.mode == "buckaroo" and session.backend == "polars" and session.dataflow:
+                from buckaroo.server.data_loading_polars import handle_infinite_request_buckaroo_polars
+                return handle_infinite_request_buckaroo_polars(session.dataflow, pa, search_string=search)
             if session.mode == "buckaroo" and session.dataflow:
                 return handle_infinite_request_buckaroo(session.dataflow, pa, search_string=search)
             return handle_infinite_request(session.df, pa)
diff --git a/packages/buckaroo-js-core/src/stories/DFViewerDirect.stories.tsx b/packages/buckaroo-js-core/src/stories/DFViewerDirect.stories.tsx
new file mode 100644
index 000000000..e04a88228
--- /dev/null
+++ b/packages/buckaroo-js-core/src/stories/DFViewerDirect.stories.tsx
@@ -0,0 +1,115 @@
+import type { Meta, StoryObj } from "@storybook/react";
+
+import "../style/dcf-npm.css";
+import { DFViewer } from "../components/DFViewerParts/DFViewerInfinite";
+import { DFData, DFViewerConfig } from "../components/DFViewerParts/DFWhole";
+
+/**
+ * Direct `<DFViewer>` consumer pattern — no wrapper component, no hooks
+ * in a `render` function. `meta.component` is `DFViewer` itself and each
+ * story passes prop values via `args:`, so Storybook's "Show code" view
+ * displays the actual JSX an `npm install buckaroo-js-core` consumer
+ * would paste into their React app (literal `df_data` array, literal
+ * `df_viewer_config` object), not a `render()` arrow function.
+ *
+ * A `decorators` entry wraps the rendered output in a sized container —
+ * decorators are not part of the "Show code" output, so they keep the
+ * story functional without obscuring the consumer-facing API.
+ */
+
+const meta: Meta<typeof DFViewer> = {
+    title: "Buckaroo/Direct/DFViewer",
+    component: DFViewer,
+    parameters: { layout: "centered" },
+    decorators: [
+        (Story) => (
+            <div style={{ width: 720, height: 400 }}>
+                <Story />
+            </div>
+        ),
+    ],
+    tags: ["autodocs"],
+} satisfies Meta<typeof DFViewer>;
+
+export default meta;
+type Story = StoryObj<typeof meta>;
+
+const df_data: DFData = [
+    { index: 0, region: "North", revenue: 12500, units: 320 },
+    { index: 1, region: "South", revenue: 9800, units: 240 },
+    { index: 2, region: "East", revenue: 15700, units: 410 },
+    { index: 3, region: "West", revenue: 11200, units: 290 },
+    { index: 4, region: "Central", revenue: 7300, units: 175 },
+];
+
+const df_viewer_config: DFViewerConfig = {
+    column_config: [
+        {
+            col_name: "region",
+            header_name: "Region",
+            displayer_args: { displayer: "string" },
+        },
+        {
+            col_name: "revenue",
+            header_name: "Revenue ($)",
+            displayer_args: {
+                displayer: "float",
+                min_fraction_digits: 0,
+                max_fraction_digits: 0,
+            },
+            color_map_config: {
+                color_rule: "color_map",
+                val_column: "revenue",
+                map_name: "BLUE_TO_YELLOW",
+            },
+        },
+        {
+            col_name: "units",
+            header_name: "Units",
+            displayer_args: { displayer: "integer", min_digits: 1, max_digits: 4 },
+        },
+    ],
+    pinned_rows: [],
+    left_col_configs: [
+        {
+            col_name: "index",
+            header_name: "#",
+            displayer_args: { displayer: "string" },
+        },
+    ],
+};
+
+// Storybook's autodocs source printer puts every array element on its own
+// line, which turns df_data into a tall column of one-property-per-line
+// rows. Override with a hand-curated snippet so the "Show code" view
+// reads the way an npm consumer would actually write the call.
+const PRIMARY_SOURCE = `<DFViewer
+  df_data={[
+    { index: 0, region: "North",   revenue: 12500, units: 320 },
+    { index: 1, region: "South",   revenue:  9800, units: 240 },
+    { index: 2, region: "East",    revenue: 15700, units: 410 },
+    { index: 3, region: "West",    revenue: 11200, units: 290 },
+    { index: 4, region: "Central", revenue:  7300, units: 175 },
+  ]}
+  df_viewer_config={{
+    column_config: [
+      { col_name: "region",  header_name: "Region",      displayer_args: { displayer: "string" } },
+      { col_name: "revenue", header_name: "Revenue ($)", displayer_args: { displayer: "float", min_fraction_digits: 0, max_fraction_digits: 0 }, color_map_config: { color_rule: "color_map", val_column: "revenue", map_name: "BLUE_TO_YELLOW" } },
+      { col_name: "units",   header_name: "Units",       displayer_args: { displayer: "integer" } },
+    ],
+    pinned_rows: [],
+    left_col_configs: [
+      { col_name: "index", header_name: "#", displayer_args: { displayer: "string" } },
+    ],
+  }}
+/>`;
+
+export const Primary: Story = {
+    args: {
+        df_data,
+        df_viewer_config,
+    },
+    parameters: {
+        docs: { source: { code: PRIMARY_SOURCE } },
+    },
+};
diff --git a/pyproject.toml b/pyproject.toml
index 5ad4a3f1f..ae9742d52 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,6 +41,7 @@ dependencies = [
     "pyarrow ; python_version == '3.13'",
     "pyarrow>=22.0.0 ; python_version >= '3.14'",  # 21.0.0 has no cp314 wheel
     "numpy >= 2.2.5; python_version >= '3.13'",
+    "matplotlib>=3.10.9",
 ]
 
 dynamic = ["version"]
diff --git a/uv.lock b/uv.lock
index 2c48f3765..c2a5e0eb6 100644
--- a/uv.lock
+++ b/uv.lock
@@ -239,6 +239,7 @@ dependencies = [
     { name = "cloudpickle" },
     { name = "fastparquet" },
     { name = "graphlib-backport" },
+    { name = "matplotlib" },
     { name = "numpy", version = "2.3.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13'" },
     { name = "pyarrow", version = "21.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.14'" },
     { name = "pyarrow", version = "22.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.14'" },
@@ -369,6 +370,7 @@ requires-dist = [
     { name = "libcst", marker = "extra == 'dev'", specifier = ">=1.4.0" },
     { name = "marimo", marker = "extra == 'dev'", specifier = ">=0.19.7" },
     { name = "marimo", marker = "extra == 'marimo'", specifier = ">=0.19.7" },
+    { name = "matplotlib", specifier = ">=3.10.9" },
     { name = "mcp", marker = "extra == 'mcp'" },
     { name = "mistune", marker = "extra == 'dev'", specifier = "<3.1" },
     { name = "nbstripout", marker = "extra == 'test'" },
@@ -653,6 +655,89 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/e6/75/49e5bfe642f71f272236b5b2d2691cf915a7283cc0ceda56357b61daa538/comm-0.2.2-py3-none-any.whl", hash = "sha256:e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3", size = 7180, upload-time = "2024-03-12T16:53:39.226Z" },
 ]
 
+[[package]]
+name = "contourpy"
+version = "1.3.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.13'" },
+    { name = "numpy", version = "2.3.4", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" }
+wheels = [
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