diff --git a/cuda_core/pixi.lock b/cuda_core/pixi.lock
index 64074649fa..39b91e0843 100644
--- a/cuda_core/pixi.lock
+++ b/cuda_core/pixi.lock
@@ -686,6 +686,917 @@ environments:
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       - conda: ../cuda_bindings
         subdir: win-64
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-- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-noxft_h5688188_102.conda
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+  license_family: MOZILLA
+  size: 310648
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+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zeromq-4.3.5-hefbcea8_9.conda
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-- conda: https://conda.anaconda.org/conda-forge/win-64/tk-8.6.13-h2c6b04d_2.conda
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+  license_family: MOZILLA
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   depends:
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+  - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - vc >=14.2,<15
-  - vc14_runtime >=14.29.30139
-  license: TCL
-  license_family: BSD
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-- conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.3.0-pyhcf101f3_0.conda
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+  - krb5 >=1.21.3,<1.22.0a0
+  license: MPL-2.0
+  license_family: MOZILLA
+  size: 265212
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-  - python >=3.10
-  - python
+  - python >=3.9
   license: MIT
   license_family: MIT
-  size: 20973
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-- conda: https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.15.0-pyhcf101f3_0.conda
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+  depends:
+  - __glibc >=2.17,<3.0.a0
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+  - libzlib 1.3.1 hb9d3cd8_2
+  license: Zlib
+  license_family: Other
+  size: 92286
+  timestamp: 1727963153079
+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zlib-1.3.1-h86ecc28_2.conda
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+  - libzlib 1.3.1 h86ecc28_2
+  license: Zlib
+  license_family: Other
+  size: 95582
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+- conda: https://conda.anaconda.org/conda-forge/linux-64/zlib-ng-2.2.5-hde8ca8f_0.conda
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+  - libstdcxx >=14
+  license: Zlib
+  license_family: Other
+  size: 110843
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+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zlib-ng-2.2.5-h92288e7_0.conda
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+  - libgcc >=14
+  - libstdcxx >=14
+  license: Zlib
+  license_family: Other
+  size: 110128
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+- conda: https://conda.anaconda.org/conda-forge/win-64/zlib-ng-2.2.5-h32d8bfd_0.conda
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+  depends:
+  - ucrt >=10.0.20348.0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
+  license: Zlib
+  license_family: Other
+  size: 111682
+  timestamp: 1761842670565
+- conda: https://conda.anaconda.org/conda-forge/linux-64/zstandard-0.25.0-py314h0f05182_1.conda
+  sha256: e589f694b44084f2e04928cabd5dda46f20544a512be2bdb0d067d498e4ac8d0
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   depends:
-  - python >=3.10
   - python
-  license: PSF-2.0
-  license_family: PSF
-  size: 51692
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-- conda: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda
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-  size: 122968
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-- conda: https://conda.anaconda.org/conda-forge/win-64/ucrt-10.0.26100.0-h57928b3_0.conda
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-  - vs2015_runtime >=14.29.30037
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-- conda: https://conda.anaconda.org/conda-forge/win-64/vc-14.3-h2b53caa_32.conda
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+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - __glibc >=2.17,<3.0.a0
+  - libgcc >=14
+  - zstd >=1.5.7,<1.6.0a0
+  - python_abi 3.14.* *_cp314
+  license: BSD-3-Clause
+  size: 473605
+  timestamp: 1762512687493
+- conda: https://conda.anaconda.org/conda-forge/linux-aarch64/zstandard-0.25.0-py314h2e8dab5_1.conda
+  sha256: 051f12494f28f9de8b1bf1a787646c1f675d8eba0ba0eac79ab96ef960d24746
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-  track_features:
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+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - python 3.14.* *_cp314
+  - libgcc >=14
+  - python_abi 3.14.* *_cp314
+  - zstd >=1.5.7,<1.6.0a0
   license: BSD-3-Clause
-  license_family: BSD
-  size: 18861
-  timestamp: 1760418772353
-- conda: https://conda.anaconda.org/conda-forge/win-64/vc14_runtime-14.44.35208-h818238b_32.conda
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+  md5: c1ef46c3666be935fbb7460c24950cff
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+  - python
+  - cffi >=1.11
+  - zstd >=1.5.7,<1.5.8.0a0
+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
-  - vcomp14 14.44.35208 h818238b_32
-  constrains:
-  - vs2015_runtime 14.44.35208.* *_32
-  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
-  license_family: Proprietary
-  size: 682706
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-- conda: https://conda.anaconda.org/conda-forge/win-64/vcomp14-14.44.35208-h818238b_32.conda
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+  - vc >=14.3,<15
+  - vc14_runtime >=14.44.35208
   - ucrt >=10.0.20348.0
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-  license: LicenseRef-MicrosoftVisualCpp2015-2022Runtime
-  license_family: Proprietary
-  size: 114846
-  timestamp: 1760418593847
+  - zstd >=1.5.7,<1.6.0a0
+  - python_abi 3.14.* *_cp314
+  license: BSD-3-Clause
+  size: 381179
+  timestamp: 1762512709971
 - conda: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda
   sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb
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diff --git a/cuda_core/pixi.toml b/cuda_core/pixi.toml
index c2a1aa6363..54e3adcc4f 100644
--- a/cuda_core/pixi.toml
+++ b/cuda_core/pixi.toml
@@ -12,16 +12,16 @@ python = ["3.10.*", "3.11.*", "3.12.*", "3.13.*", "3.14.*"]
 
 [dependencies]
 cuda-core = { path = "." }
-pip = "*"  # installed to the workspace for convenience
+pip = "*"                  # installed to the workspace for convenience
 
 [feature.test.dependencies]
 pytest = "*"
 pytest-benchmark = "*"
 
 [feature.cython-tests.dependencies]
-cython = "*"             # for tests that exercise APIs from cython
-setuptools = "*"         # for distutils
-gxx = "*"                # to compile the generated code
+cython = "*"     # for tests that exercise APIs from cython
+setuptools = "*" # for distutils
+gxx = "*"        # to compile the generated code
 # These are necessary because running the Cython tests requires compiling
 # *after* the package is built, and the Cython tests depend on CUDA headers
 # transitively (through cuda-bindings)
@@ -60,10 +60,20 @@ cuda = "12"
 [feature.cu12.dependencies]
 cuda-version = "12.*"
 
+[feature.rev-stats.dependencies]
+ibis-framework-core = ">=11"
+python-duckdb = ">=1.4"
+gh = ">=2.83"
+jupyterlab = ">=4.4"
+plotnine = ">=0.15"
+
 # We keep both cu12 and cu13 because cuda.core works with either major version
 [environments]
 cu13 = { features = ["cu13", "test", "cython-tests"], solve-group = "cu13" }
 cu12 = { features = ["cu12", "test", "cython-tests"], solve-group = "cu12" }
+rev-stats = { features = [
+    "rev-stats",
+], solve-group = "rev-stats", no-default-feature = true }
 
 # TODO: check if these can be extracted from pyproject.toml
 [package]
diff --git a/cuda_core/rev-stats.ipynb b/cuda_core/rev-stats.ipynb
new file mode 100644
index 0000000000..65dd8d6b92
--- /dev/null
+++ b/cuda_core/rev-stats.ipynb
@@ -0,0 +1,243 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "86dca078-ad81-408d-bf52-cdec03e5941c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from ibis.interactive import *\n",
+    "from plotnine import *"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "e2f94f8b-dd43-4f8a-b1d9-f550e1f3c22c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "HTTP 504: We couldn't respond to your request in time. Sorry about that. Please try resubmitting your request and contact us if the problem persists. (https://api.github.com/graphql)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!test -e reviews.json || gh pr list --limit 1000 --state all --json reviews,closedAt,mergedAt,createdAt,number,additions,deletions,changedFiles,url | sed -e 's/\\x1b\\[[0-9;]*m//g' > reviews.json"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "8cee8584-3e5f-4d56-b8f9-ad7f60833404",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┓\n",
+       "┃<span style=\"font-weight: bold\"> closedAt            </span>┃<span style=\"font-weight: bold\"> createdAt           </span>┃<span style=\"font-weight: bold\"> mergedAt            </span>┃<span style=\"font-weight: bold\"> number </span>┃<span style=\"font-weight: bold\"> reviews                                                                          </span>┃<span style=\"font-weight: bold\"> url                                             </span>┃<span style=\"font-weight: bold\"> resolvedAt          </span>┃<span style=\"font-weight: bold\"> metric </span>┃<span style=\"font-weight: bold\"> duration </span>┃<span style=\"font-weight: bold\"> p95     </span>┃<span style=\"font-weight: bold\"> p99     </span>┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━┩\n",
+       "│ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">timestamp(6)</span>        │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">timestamp(6)</span>        │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">timestamp(6)</span>        │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">int64</span>  │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">array&lt;struct&lt;id: string, author: struct&lt;login: string&gt;, authorAssociation: stri…</span> │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">string</span>                                          │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">timestamp(6)</span>        │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">string</span> │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">int64</span>    │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">float64</span> │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">float64</span> │\n",
+       "├─────────────────────┼─────────────────────┼─────────────────────┼────────┼──────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────────────┼─────────────────────┼────────┼──────────┼─────────┼─────────┤\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-11 15:42:20</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-11 12:58:07</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-11 15:42:20</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1232</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}]</span>                                                                          │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1232\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1232</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-11 15:42:20</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-11 02:55:18</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-10 02:14:37</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-11 02:55:18</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1229</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"font-weight: bold\">{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #808000; text-decoration-color: #808000\">...</span> +<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">6</span><span style=\"font-weight: bold\">]</span>                                                           │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1229\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1229</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-11 02:55:18</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-10 18:51:19</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 21:22:01</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-10 18:51:19</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1224</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"font-weight: bold\">{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #808000; text-decoration-color: #808000\">...</span> +<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">15</span><span style=\"font-weight: bold\">]</span>                                                          │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1224\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1224</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-10 18:51:19</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">3</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 19:10:39</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 00:06:11</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 19:10:39</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1221</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"font-weight: bold\">{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #808000; text-decoration-color: #808000\">...</span> +<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"font-weight: bold\">]</span>                                                           │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1221\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1221</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 19:10:39</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-05 19:58:04</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-05 17:25:45</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-05 19:58:04</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1219</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"font-weight: bold\">{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}]</span>                                                                   │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1219\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1219</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-05 19:58:04</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 18:45:44</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-03 23:55:01</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 18:45:44</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1210</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}]</span>                                                                          │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1210\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1210</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-07 18:45:44</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">4</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-04 20:35:01</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-03 20:37:18</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-04 20:35:01</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1209</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"font-weight: bold\">{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #808000; text-decoration-color: #808000\">...</span> +<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"font-weight: bold\">]</span>                                                           │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1209\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1209</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-04 20:35:01</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-01 21:17:02</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-01 16:18:50</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-01 21:17:02</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1206</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}]</span>                                                                          │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1206\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1206</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-11-01 21:17:02</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-31 16:59:59</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-31 06:28:51</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-31 16:59:59</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1204</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"font-weight: bold\">{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}</span>, <span style=\"color: #808000; text-decoration-color: #808000\">...</span> +<span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1</span><span style=\"font-weight: bold\">]</span>                                                           │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1204\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1204</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-31 16:59:59</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-30 20:45:09</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-30 19:03:47</span> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-30 20:45:09</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1202</span> │ <span style=\"font-weight: bold\">[{</span><span style=\"color: #808000; text-decoration-color: #808000\">...</span><span style=\"font-weight: bold\">}]</span>                                                                          │ <a href=\"https://github.com/NVIDIA/cuda-python/pull/1202\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">https://github.com/NVIDIA/cuda-python/pull/1202</span></a> │ <span style=\"color: #800080; text-decoration-color: #800080\">2025-10-30 20:45:09</span> │ <span style=\"color: #008000; text-decoration-color: #008000\">tt_rev</span> │        <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0</span> │     <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">9.7</span> │   <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">44.67</span> │\n",
+       "│ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span>                   │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span>                   │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span>                   │      <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span> │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span>                                                                                │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span>                                               │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span>                   │ <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span>      │        <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span> │       <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span> │       <span style=\"color: #7f7f7f; text-decoration-color: #7f7f7f\">…</span> │\n",
+       "└─────────────────────┴─────────────────────┴─────────────────────┴────────┴──────────────────────────────────────────────────────────────────────────────────┴─────────────────────────────────────────────────┴─────────────────────┴────────┴──────────┴─────────┴─────────┘\n",
+       "</pre>\n"
+      ],
+      "text/plain": [
+       "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━┳━━━━━━━━━┳━━━━━━━━━┓\n",
+       "┃\u001b[1m \u001b[0m\u001b[1mclosedAt\u001b[0m\u001b[1m           \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mcreatedAt\u001b[0m\u001b[1m          \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmergedAt\u001b[0m\u001b[1m           \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mnumber\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mreviews\u001b[0m\u001b[1m                                                                         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1murl\u001b[0m\u001b[1m                                            \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mresolvedAt\u001b[0m\u001b[1m         \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mmetric\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mduration\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp95\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mp99\u001b[0m\u001b[1m    \u001b[0m\u001b[1m \u001b[0m┃\n",
+       "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━╇━━━━━━━━━╇━━━━━━━━━┩\n",
+       "│ \u001b[2mtimestamp(6)\u001b[0m        │ \u001b[2mtimestamp(6)\u001b[0m        │ \u001b[2mtimestamp(6)\u001b[0m        │ \u001b[2mint64\u001b[0m  │ \u001b[2marray<struct<id: string, author: struct<login: string>, authorAssociation: stri…\u001b[0m │ \u001b[2mstring\u001b[0m                                          │ \u001b[2mtimestamp(6)\u001b[0m        │ \u001b[2mstring\u001b[0m │ \u001b[2mint64\u001b[0m    │ \u001b[2mfloat64\u001b[0m │ \u001b[2mfloat64\u001b[0m │\n",
+       "├─────────────────────┼─────────────────────┼─────────────────────┼────────┼──────────────────────────────────────────────────────────────────────────────────┼─────────────────────────────────────────────────┼─────────────────────┼────────┼──────────┼─────────┼─────────┤\n",
+       "│ \u001b[35m2025-11-11 15:42:20\u001b[0m │ \u001b[35m2025-11-11 12:58:07\u001b[0m │ \u001b[35m2025-11-11 15:42:20\u001b[0m │   \u001b[1;36m1232\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m                                                                          │ \u001b]8;id=938026;https://github.com/NVIDIA/cuda-python/pull/1232\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1232\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-11 15:42:20\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-11-11 02:55:18\u001b[0m │ \u001b[35m2025-11-10 02:14:37\u001b[0m │ \u001b[35m2025-11-11 02:55:18\u001b[0m │   \u001b[1;36m1229\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[33m...\u001b[0m +\u001b[1;36m6\u001b[0m\u001b[1m]\u001b[0m                                                           │ \u001b]8;id=993276;https://github.com/NVIDIA/cuda-python/pull/1229\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1229\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-11 02:55:18\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-11-10 18:51:19\u001b[0m │ \u001b[35m2025-11-07 21:22:01\u001b[0m │ \u001b[35m2025-11-10 18:51:19\u001b[0m │   \u001b[1;36m1224\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[33m...\u001b[0m +\u001b[1;36m15\u001b[0m\u001b[1m]\u001b[0m                                                          │ \u001b]8;id=21497;https://github.com/NVIDIA/cuda-python/pull/1224\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1224\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-10 18:51:19\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m3\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-11-07 19:10:39\u001b[0m │ \u001b[35m2025-11-07 00:06:11\u001b[0m │ \u001b[35m2025-11-07 19:10:39\u001b[0m │   \u001b[1;36m1221\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[33m...\u001b[0m +\u001b[1;36m1\u001b[0m\u001b[1m]\u001b[0m                                                           │ \u001b]8;id=847756;https://github.com/NVIDIA/cuda-python/pull/1221\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1221\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-07 19:10:39\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-11-05 19:58:04\u001b[0m │ \u001b[35m2025-11-05 17:25:45\u001b[0m │ \u001b[35m2025-11-05 19:58:04\u001b[0m │   \u001b[1;36m1219\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m                                                                   │ \u001b]8;id=955436;https://github.com/NVIDIA/cuda-python/pull/1219\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1219\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-05 19:58:04\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-11-07 18:45:44\u001b[0m │ \u001b[35m2025-11-03 23:55:01\u001b[0m │ \u001b[35m2025-11-07 18:45:44\u001b[0m │   \u001b[1;36m1210\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m                                                                          │ \u001b]8;id=193581;https://github.com/NVIDIA/cuda-python/pull/1210\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1210\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-07 18:45:44\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m4\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-11-04 20:35:01\u001b[0m │ \u001b[35m2025-11-03 20:37:18\u001b[0m │ \u001b[35m2025-11-04 20:35:01\u001b[0m │   \u001b[1;36m1209\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[33m...\u001b[0m +\u001b[1;36m1\u001b[0m\u001b[1m]\u001b[0m                                                           │ \u001b]8;id=396757;https://github.com/NVIDIA/cuda-python/pull/1209\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1209\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-04 20:35:01\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-11-01 21:17:02\u001b[0m │ \u001b[35m2025-11-01 16:18:50\u001b[0m │ \u001b[35m2025-11-01 21:17:02\u001b[0m │   \u001b[1;36m1206\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m                                                                          │ \u001b]8;id=499816;https://github.com/NVIDIA/cuda-python/pull/1206\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1206\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-11-01 21:17:02\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-10-31 16:59:59\u001b[0m │ \u001b[35m2025-10-31 06:28:51\u001b[0m │ \u001b[35m2025-10-31 16:59:59\u001b[0m │   \u001b[1;36m1204\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m, \u001b[33m...\u001b[0m +\u001b[1;36m1\u001b[0m\u001b[1m]\u001b[0m                                                           │ \u001b]8;id=668164;https://github.com/NVIDIA/cuda-python/pull/1204\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1204\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-10-31 16:59:59\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[35m2025-10-30 20:45:09\u001b[0m │ \u001b[35m2025-10-30 19:03:47\u001b[0m │ \u001b[35m2025-10-30 20:45:09\u001b[0m │   \u001b[1;36m1202\u001b[0m │ \u001b[1m[\u001b[0m\u001b[1m{\u001b[0m\u001b[33m...\u001b[0m\u001b[1m}\u001b[0m\u001b[1m]\u001b[0m                                                                          │ \u001b]8;id=598981;https://github.com/NVIDIA/cuda-python/pull/1202\u001b\\\u001b[32mhttps://github.com/NVIDIA/cuda-python/pull/1202\u001b[0m\u001b]8;;\u001b\\ │ \u001b[35m2025-10-30 20:45:09\u001b[0m │ \u001b[32mtt_rev\u001b[0m │        \u001b[1;36m0\u001b[0m │     \u001b[1;36m9.7\u001b[0m │   \u001b[1;36m44.67\u001b[0m │\n",
+       "│ \u001b[2m…\u001b[0m                   │ \u001b[2m…\u001b[0m                   │ \u001b[2m…\u001b[0m                   │      \u001b[2m…\u001b[0m │ \u001b[2m…\u001b[0m                                                                                │ \u001b[2m…\u001b[0m                                               │ \u001b[2m…\u001b[0m                   │ \u001b[2m…\u001b[0m      │        \u001b[2m…\u001b[0m │       \u001b[2m…\u001b[0m │       \u001b[2m…\u001b[0m │\n",
+       "└─────────────────────┴─────────────────────┴─────────────────────┴────────┴──────────────────────────────────────────────────────────────────────────────────┴─────────────────────────────────────────────────┴─────────────────────┴────────┴──────────┴─────────┴─────────┘"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "t = (\n",
+    "    ibis.read_json(\"reviews.json\")\n",
+    "    .mutate(resolvedAt=_.mergedAt.coalesce(_.closedAt))\n",
+    "    .filter(_.resolvedAt.notnull())\n",
+    "    .mutate(\n",
+    "        tt_rev=_.reviews[0].submittedAt.delta(_.createdAt, unit=\"days\"),\n",
+    "        tt_cls=_.closedAt.delta(_.createdAt, unit=\"days\"),\n",
+    "        tt_mrg=_.mergedAt.delta(_.createdAt, unit=\"days\"),\n",
+    "        tt_fin=_.closedAt.delta(_.reviews[-1].submittedAt, unit=\"days\").clip(lower=-1).nullif(-1),\n",
+    "        total_changes=_.additions + _.deletions,\n",
+    "    )\n",
+    "    .pivot_longer(s.startswith(\"tt_\"), names_to=\"metric\", values_to=\"duration\")\n",
+    "    .filter(_.duration >= 0)\n",
+    "    .mutate(\n",
+    "        p95=_.duration.quantile(0.95).over(group_by=\"metric\"),\n",
+    "        p99=_.duration.quantile(0.99).over(group_by=\"metric\"),\n",
+    "    )\n",
+    ")\n",
+    "t"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "8f0a87ef-a997-4920-aebd-66c0e47db2b4",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'divide': 'warn', 'over': 'warn', 'under': 'ignore', 'invalid': 'warn'}"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import logging\n",
+    "\n",
+    "import numpy\n",
+    "\n",
+    "# without this, findfont logging spams the notebook making it unusable\n",
+    "logging.getLogger(\"matplotlib.font_manager\").disabled = True\n",
+    "logging.getLogger(\"plotnine\").disabled = True\n",
+    "numpy.seterr(divide=\"ignore\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "ba9a10e8-460d-49f3-acec-871727f373a1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<plotnine.ggplot.ggplot object at 0x7ffe9dcabb50>"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {
+      "image/png": {
+       "height": 600,
+       "width": 1000
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "size = 1\n",
+    "linetype = \"dotted\"\n",
+    "show_legend = True\n",
+    "\n",
+    "LABELS = {\n",
+    "    \"tt_cls\": \"TT Close\",\n",
+    "    \"tt_mrg\": \"TT Merge\",\n",
+    "    \"tt_rev\": \"TT First Rev\",\n",
+    "    \"tt_fin\": \"TT Final Rev to Close\",\n",
+    "}\n",
+    "\n",
+    "labeller = LABELS.__getitem__\n",
+    "\n",
+    "(\n",
+    "    ggplot(t, aes(x=\"duration\"))\n",
+    "    + geom_histogram(binwidth=1)\n",
+    "    + geom_vline(aes(xintercept=\"p95\"), color=\"orange\", size=size, linetype=linetype)\n",
+    "    + geom_vline(aes(xintercept=\"p99\"), color=\"red\", size=size, linetype=linetype)\n",
+    "    + geom_text(aes(x=\"p95\", y=100, label=\"p95\"), nudge_x=10, format_string=\"P95: {:.2g}D\")\n",
+    "    + geom_text(aes(x=\"p99\", y=10, label=\"p99\"), nudge_x=10, format_string=\"P99: {:.2g}D\")\n",
+    "    + scale_y_log10()\n",
+    "    + facet_grid(\"metric\", labeller=labeller)\n",
+    "    + theme(\n",
+    "        strip_text_y=element_text(angle=0),\n",
+    "        figure_size=(10, 6),\n",
+    "    )\n",
+    "    + labs(x=\"Duration in Days\", y=\"Count\")\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "0221ddda-e587-442a-8d71-ba0c81521eba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<plotnine.ggplot.ggplot object at 0x7ffdbc50e890>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {
+      "image/png": {
+       "height": 480,
+       "width": 640
+      }
+     },
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "(\n",
+    "    ggplot(t, aes(x=\"factor(metric)\", y=\"duration\"))\n",
+    "    + coord_flip()\n",
+    "    + geom_boxplot()\n",
+    "    + scale_x_discrete(labels=reversed([\"Δ First Rev\", \"Δ Merge\", \"Δ Final Rev to Close\", \"Δ Close\"]))\n",
+    ")"
+   ]
+  }
+ ],
+ "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": "3.14.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}