diff --git a/doc/conf.py b/doc/conf.py
index 4f51486..96d7bde 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -34,6 +34,7 @@
     "sphinx.ext.intersphinx",
     "sphinx.ext.extlinks",
     "sphinx.ext.mathjax",
+    "myst_nb",
 ]
 
 extlinks = {
@@ -302,3 +303,7 @@
     "numpy": ("https://docs.scipy.org/doc/numpy/", None),
     "xarray": ("https://docs.xarray.dev/en/stable/", None),
 }
+
+# Myst-NB configuration
+nb_execution_mode = "force"
+nb_execution_raise_on_error = True
diff --git a/doc/dask.ipynb b/doc/dask.ipynb
new file mode 100644
index 0000000..1828b79
--- /dev/null
+++ b/doc/dask.ipynb
@@ -0,0 +1,97 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9b9a1d2c-7664-4fd9-b5cb-3a766d907fe7",
+   "metadata": {},
+   "source": [
+    "# Dask integration\n",
+    "\n",
+    "recursive-diff supports {class}`xarray.DataArray` and {class}`xarray.Dataset` objects backed by [Dask](https://dask.org). When it compares two such objects, the comparison is optimized to maximise parallelism and minimize memory usage.\n",
+    "\n",
+    "In this example, we're going to compare two arrays worth a total of 3 GiB.\n",
+    "However, because they're lazily defined, the whole comparison will use only a few MiB RAM and will run on all available threads:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e52dd2a-b565-4aee-8aa8-52c4a41e8914",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "\n",
+    "sys.path.insert(0, \"..\")\n",
+    "\n",
+    "import dask.array as da\n",
+    "import xarray\n",
+    "\n",
+    "from recursive_diff import display_diffs\n",
+    "\n",
+    "a = xarray.DataArray(da.ones((200_000, 1_000)), name=\"ones\")\n",
+    "b = xarray.DataArray(da.ones((200_000, 1_000)), name=\"ones\")\n",
+    "a[123_456, 789] = 1.01\n",
+    "b[133_700, 333] = 1.0000000001  # Below tolerance\n",
+    "\n",
+    "display_diffs(a, b)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf4417c1-3989-4512-8ea0-d9b5ecf31ab8",
+   "metadata": {},
+   "source": [
+    "## Dask clusters\n",
+    "If you have a Dask client active and compare chunked Xarray objects, the comparison will run on the Dask cluster.\n",
+    "\n",
+    "In this example we're using a ``LocalCluster``, but this works with remote clusters as well as [Coiled](https://coiled.io) clusters!\n",
+    "\n",
+    "You may use {func}`xarray.open_zarr` or {func}`xarray.open_dataset` to open Zarr or NetCDF files on S3, which means that if your client is outside of AWS the data won't transfer over the internet and you won't pay egress charges.\n",
+    "S3 access not yet supported by {func}`~recursive_diff.recursive_open`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9205439e-3c2b-43d7-a512-b8a4e986ea27",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import dask.distributed\n",
+    "\n",
+    "with dask.distributed.LocalCluster() as cluster, dask.distributed.Client(cluster):\n",
+    "    display_diffs(a, b)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5822b326-f3e0-4be0-a015-a734ddbc816d",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/doc/index.rst b/doc/index.rst
index f874ee8..e075baa 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -40,8 +40,10 @@ Index
 
    quickstart
    installing
-   api
+   notebooks
+   dask
    extend
+   api
    cli
    develop
    whats-new
diff --git a/doc/notebooks.ipynb b/doc/notebooks.ipynb
new file mode 100644
index 0000000..afd5876
--- /dev/null
+++ b/doc/notebooks.ipynb
@@ -0,0 +1,145 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9b9a1d2c-7664-4fd9-b5cb-3a766d907fe7",
+   "metadata": {},
+   "source": [
+    "# Working with Jupyter notebooks\n",
+    "\n",
+    "{func}`~recursive_diff.display_diffs` can be used to compare two NumPy, Pandas, or Xarray objects in a Jupyter notebook:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "737df1de-16b9-40d2-a704-29022846bbc0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import sys\n",
+    "\n",
+    "sys.path.insert(0, \"..\")\n",
+    "\n",
+    "import xarray\n",
+    "\n",
+    "from recursive_diff import display_diffs\n",
+    "\n",
+    "a = xarray.Dataset(\n",
+    "    {\n",
+    "        \"v1\": ((\"r\", \"c\"), [[1, 2], [3, 4]]),\n",
+    "        \"v2\": (\"r\", [\"foo\", \"bar\"]),\n",
+    "        \"r\": [\"r1\", \"r2\"],\n",
+    "        \"extra\": [5],\n",
+    "    },\n",
+    "    attrs={\"some_tag\": \"Hello\"},\n",
+    ")\n",
+    "\n",
+    "b = xarray.Dataset(\n",
+    "    {\n",
+    "        \"v1\": ((\"r\", \"c\"), [[1, 5], [3.1, 4]]),\n",
+    "        \"v2\": (\"r\", [\"bar\", \"bar\"]),\n",
+    "        \"r\": [\"r1\", \"r2\"],\n",
+    "    },\n",
+    "    attrs={\"some_tag\": \"World\"},\n",
+    ")\n",
+    "\n",
+    "\n",
+    "display_diffs(a, b)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc84e5ad-4b39-4602-9da7-7aa63bbe6cb9",
+   "metadata": {},
+   "source": [
+    "Just like {func}`recursive_diff.recursive_diff`, you may use it to visualize differences in nested structures too:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7565dc16-7dc3-4ade-b8dd-0abfef712677",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "c = {\"foo\": [1, 2, [3, 4]]}\n",
+    "d = {\"foo\": [1.0000000001, 5, [3]], \"bar\": 6}\n",
+    "\n",
+    "display_diffs(c, d)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b85aa876-ad19-4393-bcf3-4c0dd866cbec",
+   "metadata": {},
+   "source": [
+    "## Comparing directories\n",
+    "\n",
+    "If you have two directories full of data, you can compare them in one go with {func}`~recursive_diff.recursive_open`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a6324359-3d59-4250-b70d-f9cd0d0bbde0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "import tempfile\n",
+    "\n",
+    "lhs = tempfile.TemporaryDirectory()\n",
+    "rhs = tempfile.TemporaryDirectory()\n",
+    "\n",
+    "a.to_zarr(f\"{lhs.name}/array.zarr\", mode=\"w\", zarr_format=2)\n",
+    "b.to_zarr(f\"{rhs.name}/array.zarr\", mode=\"w\", zarr_format=2)\n",
+    "with open(f\"{lhs.name}/nested.json\", \"w\") as fh:\n",
+    "    json.dump(c, fh)\n",
+    "with open(f\"{rhs.name}/nested.json\", \"w\") as fh:\n",
+    "    json.dump(d, fh)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1dc6c4ba-ba4a-4baf-8f48-933a0fa83717",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from recursive_diff import recursive_open\n",
+    "\n",
+    "display_diffs(recursive_open(lhs.name), recursive_open(rhs.name))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "42ac0b27-178c-4c59-89c8-dd7c37464656",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/doc/requirements.yml b/doc/requirements.yml
index 10cafcf..5532a03 100644
--- a/doc/requirements.yml
+++ b/doc/requirements.yml
@@ -6,9 +6,18 @@ channels:
 dependencies:
 - python 3.14.*
 - python *
+- dask-core *
+- distributed *
+- msgpack-python *
+- pyyaml *
+- netcdf4 *
+- scipy *
+- h5netcdf *
+- zarr *
 - pip *
 - sphinx *
 - sphinx_rtd_theme *
+- myst-nb *
 - numpy *
 - pandas *
 - xarray *
diff --git a/pixi.lock b/pixi.lock
index 1630be0..29294e8 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -54,6 +54,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/fsspec-2026.2.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/google-crc32c-1.8.0-py314hd6bf2bd_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/greenlet-3.3.2-py314h42812f9_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda
@@ -80,6 +81,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/jsonschema-with-format-nongpl-4.26.0-hcf101f3_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/jupyter-cache-1.0.1-pyhff2d567_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/jupyter-lsp-2.3.0-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/jupyter_client-8.8.0-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/jupyter_core-5.9.1-pyhc90fa1f_0.conda
@@ -127,10 +129,15 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/locket-1.0.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://prefix.dev/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/markdown-it-py-4.0.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/markupsafe-3.0.3-pyh7db6752_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/matplotlib-inline-0.2.1-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/mdit-py-plugins-0.5.0-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/mistune-3.2.0-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/linux-64/msgpack-python-1.1.2-py314h9891dd4_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/myst-nb-1.3.0-pyhe01879c_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/myst-parser-5.0.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/nbclient-0.10.4-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/nbconvert-core-7.17.0-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/nbformat-5.10.4-pyhd8ed1ab_1.conda
@@ -198,7 +205,9 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/sphinxcontrib-serializinghtml-1.1.10-pyhd8ed1ab_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-64/sqlalchemy-2.0.47-py314h0f05182_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/stack_data-0.6.3-pyhd8ed1ab_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/tabulate-0.9.0-pyhcf101f3_3.conda
       - conda: https://prefix.dev/conda-forge/noarch/tblib-3.2.2-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/terminado-0.18.1-pyhc90fa1f_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/tinycss2-1.4.0-pyhd8ed1ab_0.conda
@@ -273,6 +282,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/fsspec-2026.2.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/linux-aarch64/google-crc32c-1.8.0-py314h94bc565_1.conda
+      - conda: https://prefix.dev/conda-forge/linux-aarch64/greenlet-3.3.2-py314he6363bd_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/h2-4.3.0-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/h5netcdf-1.8.1-pyhd8ed1ab_0.conda
@@ -299,6 +309,7 @@ environments:
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       - conda: https://prefix.dev/conda-forge/noarch/jsonschema-with-format-nongpl-4.26.0-hcf101f3_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/jupyter-cache-1.0.1-pyhff2d567_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/jupyter-lsp-2.3.0-pyhcf101f3_0.conda
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       - conda: https://prefix.dev/conda-forge/noarch/jupyter_core-5.9.1-pyhc90fa1f_0.conda
@@ -346,10 +357,15 @@ environments:
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       - conda: https://prefix.dev/conda-forge/linux-aarch64/lz4-c-1.10.0-h5ad3122_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/markdown-it-py-4.0.0-pyhd8ed1ab_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/markupsafe-3.0.3-pyh7db6752_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/matplotlib-inline-0.2.1-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/mdit-py-plugins-0.5.0-pyhd8ed1ab_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
       - conda: https://prefix.dev/conda-forge/noarch/mistune-3.2.0-pyhcf101f3_0.conda
       - conda: https://prefix.dev/conda-forge/linux-aarch64/msgpack-python-1.1.2-py314hd7d8586_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/myst-nb-1.3.0-pyhe01879c_0.conda
+      - conda: https://prefix.dev/conda-forge/noarch/myst-parser-5.0.0-pyhd8ed1ab_0.conda
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+      - conda: https://prefix.dev/conda-forge/linux-aarch64/sqlalchemy-2.0.47-py314hf8f541d_0.conda
       - conda: https://prefix.dev/conda-forge/noarch/stack_data-0.6.3-pyhd8ed1ab_1.conda
+      - conda: https://prefix.dev/conda-forge/noarch/tabulate-0.9.0-pyhcf101f3_3.conda
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+      - conda: https://prefix.dev/conda-forge/osx-64/greenlet-3.3.2-py314h2883b87_0.conda
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@@ -559,10 +579,15 @@ environments:
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   - pkg:pypi/google-crc32c?source=hash-mapping
   size: 29230
   timestamp: 1768549336961
+- conda: https://prefix.dev/conda-forge/linux-64/greenlet-3.3.2-py314h42812f9_0.conda
+  sha256: fdeec5dbb5f964b1709f3d6f697137f0e68650e09ffa80b9b1bee2afb2373da4
+  md5: 511748f9debe034ff88eef99bc215fd3
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+  - libstdcxx >=14
+  - libgcc >=14
+  - __glibc >=2.17,<3.0.a0
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/greenlet?source=compressed-mapping
+  size: 255601
+  timestamp: 1771658388272
+- conda: https://prefix.dev/conda-forge/linux-aarch64/greenlet-3.3.2-py314he6363bd_0.conda
+  sha256: 1bd61e6db6b98b4125a6992ac7ed8749c58f46ee733745608822584d24dfe3fb
+  md5: 9266d1caf2df92e516b36e817421887b
+  depends:
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+  - libgcc >=14
+  - libstdcxx >=14
+  - python 3.14.* *_cp314
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/greenlet?source=hash-mapping
+  size: 261103
+  timestamp: 1771658394102
+- conda: https://prefix.dev/conda-forge/osx-64/greenlet-3.3.2-py314h2883b87_0.conda
+  sha256: a6a4ea63ff3c506a1f99e3893fd780a03396e7d7c073c5fe4de6b50dab4506bd
+  md5: d29537bbfbb16a46a330658fd0d247e9
+  depends:
+  - python
+  - libcxx >=19
+  - __osx >=11.0
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/greenlet?source=hash-mapping
+  size: 250716
+  timestamp: 1771658480399
+- conda: https://prefix.dev/conda-forge/osx-arm64/greenlet-3.3.2-py314he609de1_0.conda
+  sha256: 5faca2e8fbbd62480c06de57d38cefaa99a5fee764065fbcb4eff4bfbf879212
+  md5: 43d2834f86eea647d179b1a95ccdba2e
+  depends:
+  - python
+  - libcxx >=19
+  - python 3.14.* *_cp314
+  - __osx >=11.0
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/greenlet?source=hash-mapping
+  size: 252497
+  timestamp: 1771658481112
+- conda: https://prefix.dev/conda-forge/win-64/greenlet-3.3.2-py314hb98de8c_0.conda
+  sha256: b61f03453a5807b8967db6d8d16a37c56b96456d6883002ee87725d083617973
+  md5: 64347a7bd3297554c5e7ae49dd268f9a
+  depends:
+  - python
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/greenlet?source=compressed-mapping
+  size: 237568
+  timestamp: 1771658406473
 - conda: https://prefix.dev/conda-forge/noarch/h11-0.16.0-pyhcf101f3_1.conda
   sha256: 96cac6573fd35ae151f4d6979bab6fbc90cb6b1fb99054ba19eb075da9822fcb
   md5: b8993c19b0c32a2f7b66cbb58ca27069
@@ -10829,6 +11446,25 @@ packages:
   purls: []
   size: 4740
   timestamp: 1767839954258
+- conda: https://prefix.dev/conda-forge/noarch/jupyter-cache-1.0.1-pyhff2d567_0.conda
+  sha256: 054d397dd45ed08bffb0976702e553dfb0d0b0a477da9cff36e2ea702e928f48
+  md5: b0ee650829b8974202a7abe7f8b81e5a
+  depends:
+  - attrs
+  - click
+  - importlib-metadata
+  - nbclient >=0.2
+  - nbformat
+  - python >=3.9
+  - pyyaml
+  - sqlalchemy >=1.3.12,<3
+  - tabulate
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/jupyter-cache?source=hash-mapping
+  size: 31236
+  timestamp: 1731777189586
 - conda: https://prefix.dev/conda-forge/noarch/jupyter-lsp-2.3.0-pyhcf101f3_0.conda
   sha256: 897ad2e2c2335ef3c2826d7805e16002a1fd0d509b4ae0bc66617f0e0ff07bc2
   md5: 62b7c96c6cd77f8173cc5cada6a9acaa
@@ -14667,6 +15303,8 @@ packages:
   - python >=3.10
   license: MIT
   license_family: MIT
+  purls:
+  - pkg:pypi/markdown-it-py?source=hash-mapping
   size: 64736
   timestamp: 1754951288511
 - conda: https://prefix.dev/conda-forge/linux-64/markupsafe-3.0.2-py39h9399b63_1.conda
@@ -14854,6 +15492,18 @@ packages:
   - pkg:pypi/matplotlib-inline?source=hash-mapping
   size: 15175
   timestamp: 1761214578417
+- conda: https://prefix.dev/conda-forge/noarch/mdit-py-plugins-0.5.0-pyhd8ed1ab_0.conda
+  sha256: 123cc004e2946879708cdb6a9eff24acbbb054990d6131bb94bca7a374ebebfc
+  md5: 1997a083ef0b4c9331f9191564be275e
+  depends:
+  - markdown-it-py >=2.0.0,<5.0.0
+  - python >=3.10
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/mdit-py-plugins?source=hash-mapping
+  size: 43805
+  timestamp: 1754946862113
 - conda: https://prefix.dev/conda-forge/noarch/mdurl-0.1.2-pyhd8ed1ab_1.conda
   sha256: 78c1bbe1723449c52b7a9df1af2ee5f005209f67e40b6e1d3c7619127c43b1c7
   md5: 592132998493b3ff25fd7479396e8351
@@ -14861,6 +15511,8 @@ packages:
   - python >=3.9
   license: MIT
   license_family: MIT
+  purls:
+  - pkg:pypi/mdurl?source=hash-mapping
   size: 14465
   timestamp: 1733255681319
 - conda: https://prefix.dev/conda-forge/noarch/mistune-3.2.0-pyhcf101f3_0.conda
@@ -15393,6 +16045,45 @@ packages:
   - pkg:pypi/mypy-extensions?source=hash-mapping
   size: 11766
   timestamp: 1745776666688
+- conda: https://prefix.dev/conda-forge/noarch/myst-nb-1.3.0-pyhe01879c_0.conda
+  sha256: 07cc8d775a3d598fe7c6ca4ffb543f1938df5f18e296719a4651bfb73f4f0d57
+  md5: 2cb3690891768b4b9f7c7764afa965c1
+  depends:
+  - importlib-metadata
+  - ipykernel
+  - ipython
+  - jupyter-cache >=0.5
+  - myst-parser >=1.0.0
+  - nbclient
+  - nbformat >=5.0
+  - python >=3.9
+  - pyyaml
+  - sphinx >=5
+  - typing_extensions
+  - python
+  license: BSD-3-Clause
+  license_family: BSD
+  purls:
+  - pkg:pypi/myst-nb?source=hash-mapping
+  size: 68592
+  timestamp: 1752582039487
+- conda: https://prefix.dev/conda-forge/noarch/myst-parser-5.0.0-pyhd8ed1ab_0.conda
+  sha256: f352d594d968acd31052c5f894ae70718be56481ffa9c304fdfcbe78ddf66eb1
+  md5: a65e2c3c764766f0b28a3ac5052502a6
+  depends:
+  - docutils >=0.20,<0.23
+  - jinja2
+  - markdown-it-py >=4.0.0,<4.1.0
+  - mdit-py-plugins >=0.5,<0.6
+  - python >=3.11
+  - pyyaml
+  - sphinx >=8,<10
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/myst-parser?source=hash-mapping
+  size: 73535
+  timestamp: 1768942892170
 - conda: https://prefix.dev/conda-forge/noarch/nbclient-0.10.4-pyhd8ed1ab_0.conda
   sha256: 1b66960ee06874ddceeebe375d5f17fb5f393d025a09e15b830ad0c4fffb585b
   md5: 00f5b8dafa842e0c27c1cd7296aa4875
@@ -22627,6 +23318,80 @@ packages:
   - pkg:pypi/sphinxcontrib-serializinghtml?source=hash-mapping
   size: 28669
   timestamp: 1733750596111
+- conda: https://prefix.dev/conda-forge/linux-64/sqlalchemy-2.0.47-py314h0f05182_0.conda
+  sha256: bda3b59b683caa27de1b1892a8c446bceb9a5afcc659e18653c036a0c1fd69ba
+  md5: a5172ad8df1eb38c08a2a90bdd828381
+  depends:
+  - python
+  - greenlet !=0.4.17
+  - typing-extensions >=4.6.0
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  purls:
+  - pkg:pypi/sqlalchemy?source=hash-mapping
+  size: 4025452
+  timestamp: 1771967287379
+- conda: https://prefix.dev/conda-forge/linux-aarch64/sqlalchemy-2.0.47-py314hf8f541d_0.conda
+  sha256: a21bf411ea3fcbc28c1d8f77739c82990ced0d8e4135b488950e54d682359df9
+  md5: b682ced441f7863141e1618243c93c38
+  depends:
+  - python
+  - greenlet !=0.4.17
+  - typing-extensions >=4.6.0
+  - libgcc >=14
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  purls:
+  - pkg:pypi/sqlalchemy?source=compressed-mapping
+  size: 4041049
+  timestamp: 1771967511006
+- conda: https://prefix.dev/conda-forge/osx-64/sqlalchemy-2.0.47-py314h0b69929_0.conda
+  sha256: a4c286f982c6ffd019ae98e726f408aa290abf2e66ce6647f83a463eb20319ae
+  md5: a68aa66a838ffff6ae2d778bfee7e799
+  depends:
+  - python
+  - greenlet !=0.4.17
+  - typing-extensions >=4.6.0
+  - __osx >=11.0
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  purls:
+  - pkg:pypi/sqlalchemy?source=compressed-mapping
+  size: 4018232
+  timestamp: 1771967313958
+- conda: https://prefix.dev/conda-forge/osx-arm64/sqlalchemy-2.0.47-py314ha14b1ff_0.conda
+  sha256: d85ef361d397d5422b6ae26719b99078623b79a61865a17fa3241107e7c84015
+  md5: 9b4ec6f73fe55dd2c2cfbdec3e834327
+  depends:
+  - python
+  - greenlet !=0.4.17
+  - typing-extensions >=4.6.0
+  - python 3.14.* *_cp314
+  - __osx >=11.0
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  purls:
+  - pkg:pypi/sqlalchemy?source=compressed-mapping
+  size: 4028868
+  timestamp: 1771967318790
+- conda: https://prefix.dev/conda-forge/win-64/sqlalchemy-2.0.47-py314hc5dbbe4_0.conda
+  sha256: 766a2367644e507e6136ddc411efdae6fc1865d4dd916e64fc2c339d78daf83b
+  md5: 3f59d7f0f3dd23fc701d631d2ca5306f
+  depends:
+  - python
+  - greenlet !=0.4.17
+  - typing-extensions >=4.6.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  - ucrt >=10.0.20348.0
+  - python_abi 3.14.* *_cp314
+  license: MIT
+  purls:
+  - pkg:pypi/sqlalchemy?source=compressed-mapping
+  size: 3979804
+  timestamp: 1771967329879
 - conda: https://prefix.dev/conda-forge/noarch/stack_data-0.6.3-pyhd8ed1ab_1.conda
   sha256: 570da295d421661af487f1595045760526964f41471021056e993e73089e9c41
   md5: b1b505328da7a6b246787df4b5a49fbc
@@ -22641,6 +23406,18 @@ packages:
   - pkg:pypi/stack-data?source=hash-mapping
   size: 26988
   timestamp: 1733569565672
+- conda: https://prefix.dev/conda-forge/noarch/tabulate-0.9.0-pyhcf101f3_3.conda
+  sha256: 795e03d14ce50ae409e86cf2a8bd8441a8c459192f97841449f33d2221066fef
+  md5: de98449f11d48d4b52eefb354e2bfe35
+  depends:
+  - python >=3.10
+  - python
+  license: MIT
+  license_family: MIT
+  purls:
+  - pkg:pypi/tabulate?source=hash-mapping
+  size: 40319
+  timestamp: 1765140047040
 - conda: https://prefix.dev/conda-forge/win-64/tbb-2021.13.0-h62715c5_1.conda
   sha256: 03cc5442046485b03dd1120d0f49d35a7e522930a2ab82f275e938e17b07b302
   md5: 9190dd0a23d925f7602f9628b3aed511
diff --git a/pyproject.toml b/pyproject.toml
index f40236f..fbf47c4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -212,6 +212,7 @@ open-coverage = { cmd = "open htmlcov/index.html", depends-on = ["coverage"], de
 pip = "*"
 sphinx = "*"
 sphinx_rtd_theme = "*"
+myst-nb = "*"
 
 [tool.pixi.feature.docs.tasks]
 docs = { cmd = "sphinx-build -n -j auto -b html -d ../build/doctrees . ../build/html", env = { PYTHONPATH = "$PIXI_PROJECT_ROOT" }, cwd = "doc", description = "Build docs" }
@@ -312,7 +313,7 @@ twine-upload = { cmd = "python -m twine upload dist/*" }
 default = { features = ["py314", "dask", "files", "docs", "smoke", "tests", "ipython", "jupyter"] }
 dist = { features = ["dist"], no-default-feature = true }
 lint = { features = ["lint"] }
-docs = { features = ["py314", "docs"] }
+docs = { features = ["py314", "dask", "files", "docs"] }
 mindeps = { features = ["mindeps", "smoke", "tests"] }
 xarray2024-5 = { features = ["xarray2024-5", "smoke", "tests"] }
 py39 = { features = ["py39", "dask", "files", "smoke", "tests"] }