chore(deps): bump the dependencies group across 1 directory with 29 updates

[dependabot]

Bumps the dependencies group with 29 updates in the / directory:

Package	From	To
filelock	3.25.2	3.32.2
fonttools	4.62.1	4.63.0
numpy	2.2.6	2.4.6
opencv-python	4.13.0.92	5.0.0.93
openvino	2026.0.0	2026.3.0
ultralytics	8.3.253	8.4.115
pydantic	2.12.5	2.13.4
structlog	25.5.0	26.1.0
idna	3.15	3.18
pyarrow	23.0.1	25.0.0
pandas	2.3.3	3.0.5
scipy	1.17.1	1.18.0
docxtpl	0.16.8	0.20.2
ttkbootstrap	1.20.2	2.1.1
plotly	6.6.0	6.9.0
punq	0.7.0	0.8.0
ruff	0.12.12	0.16.1
pytest	9.0.2	9.1.1
pre-commit	4.5.1	4.6.1
sphinx	8.2.3	9.1.0
sphinx-autodoc-typehints	3.5.2	3.13.2
myst-parser	5.0.0	5.1.0
mypy	1.19.1	2.3.0
types-polib	1.2.0.20250401	1.2.0.20260518
types-pyyaml	6.0.12.20250915	6.0.12.20260724
types-pyserial	3.5.0.20251001	3.5.0.20260712
types-psutil	7.2.2.20260130	7.2.2.20260518
hypothesis	6.151.9	6.165.2
pytest-rerunfailures	16.1	16.4

Updates filelock from 3.25.2 to 3.32.2

Release notes

Sourced from filelock's releases.

3.32.2

What's Changed

• Fix test failures on NetBSD (#689) by @​gaborbernat in tox-dev/filelock#693
• 🧪 test(soft-rw): deflake writer phase-2 peer-marker test by @​gaborbernat in tox-dev/filelock#694
• hand back the claim when a heartbeat thread fails to start by @​dxbjavid in tox-dev/filelock#691
• 🧪 test(unix): deflake sticky-bit concurrent-unlink on graalpy by @​gaborbernat in tox-dev/filelock#695

Full Changelog: tox-dev/filelock@3.32.1...3.32.2

3.32.0

What's Changed

• 👷 ci: add Python 3.15 to the test matrix by @​gaborbernat in tox-dev/filelock#683
• 🐛 fix(packaging): let an unpacked sdist run the test suite by @​gaborbernat in tox-dev/filelock#685

Full Changelog: tox-dev/filelock@3.31.2...3.32.0

3.31.2

What's Changed

• 🐛 fix(strict): tolerate an errno without ENOTSUP by @​gaborbernat in tox-dev/filelock#681

Full Changelog: tox-dev/filelock@3.31.1...3.31.2

3.31.1

What's Changed

• ♻️ refactor(coverage): key exclusions on probed capability by @​gaborbernat in tox-dev/filelock#679
• scope a lease's claim to the context that acquired it by @​dxbjavid in tox-dev/filelock#680

Full Changelog: tox-dev/filelock@3.31.0...3.31.1

3.31.0

What's Changed

• ✨ feat(platform): support Termux/Android by @​gaborbernat in tox-dev/filelock#678

Full Changelog: tox-dev/filelock@3.30.3...3.31.0

... (truncated)

Changelog

Sourced from filelock's changelog.

########### Changelog ###########

.. towncrier-draft-entries:: Unreleased

.. towncrier release notes start

---

3.32.2 (2026-07-29)

---

• A SoftReadWriteLock or SoftFileLease acquire whose heartbeat thread fails to start now unlinks its marker and hands the claim back, instead of leaving an unrefreshed marker a peer takes while the caller believes it still holds the lock. :pr:691

---

3.32.1 (2026-07-26)

---

• Canceling an AsyncSoftReadWriteLock acquire now releases the claim instead of leaking a marker whose heartbeat wedges every contender. :pr:686

---

3.32.0 (2026-07-21)

---

• SoftReadWriteLock closes the directory handle it opens to scan for readers as soon as a scan stops early, rather than holding it until the generator is collected. :pr:685
• Declare support for Python 3.15 and run the test suite against it and its free-threaded build, both currently in beta. :pr:683
• The source distribution ships the capability probes the tests import, and reading one no longer needs coverage installed, so the suite runs from an unpacked sdist instead of failing on a missing coverage_pragmas. :pr:685

---

3.31.2 (2026-07-21)

---

• filelock imports again on runtimes whose errno omits ENOTSUP, such as GraalPy, where importing the package raised ImportError. It probes the code instead, preferring ENOTSUP, falling back to EOPNOTSUPP where that name is absent, and dropping to ENOSYS/EXDEV where neither exists. Platforms defining ENOTSUP keep their behavior. :pr:681

---

3.31.1 (2026-07-20)

---

• A SoftFileLease acquired on one thread keeps its claim when another thread fails to acquire the same lease object, so its heartbeat carries on refreshing the marker instead of being torn down and letting a peer take the live claim. :pr:680

---

... (truncated)

Commits

• 9a6cc43 Release 3.32.2
• 56879c7 🧪 test(unix): deflake sticky-bit concurrent-unlink on graalpy (#695)
• ecf5be0 hand back the claim when a heartbeat thread fails to start (#691)
• ee70d2e 🧪 test(soft-rw): deflake writer phase-2 peer-marker test (#694)
• 1eb14dd Fix test failures on NetBSD (#689) (#693)
• d81e859 build(deps): bump astral-sh/setup-uv from 8.3.2 to 9.0.0 (#692)
• 6fbc905 [pre-commit.ci] pre-commit autoupdate (#690)
• 34d1c38 build(deps): bump pypa/gh-action-pypi-publish from 1.14.0 to 1.14.1 (#688)
• bf13ec7 Release 3.32.1
• 887f114 build(deps): bump actions/checkout from 7.0.0 to 7.0.1 (#687)
• Additional commits viewable in compare view

Updates fonttools from 4.62.1 to 4.63.0

Release notes

Sourced from fonttools's releases.

4.63.0

• [ttLib] Add support for Apple Color Emoji bgcl table (#4065).
• [ttLib] Add support for IFT and IFTX tables (Incremental Font Transfer, PatchMapFormat2) (#4070, #4072).
• [otData] Introduce FieldSpec dataclass for OpenType table schema definitions, replacing raw tuples in otData.py (#4076).
• [Feat] Show name table strings as comments next to label IDs in TTX output, matching the convention used by fvar, STAT, trak (#4089).
• [cu2qu] Fix Cython complex-division rounding difference in split_cubic_into_three that could cause ±1 off-curve coordinate shifts (#3928, #4083).
• [designspaceLib] Fix map_backwardgooglefonts/ufo2ft#978#4085).
• [OS/2] Fix setUnicodeRanges to accept reserved bits 123-127, restoring round-trip with getUnicodeRanges and fixing recalcUnicodeRanges crash in the subsetter (#4087, #4088).
• [cython] Declare Cython extensions as free-threading compatible on Python 3.13+, so that importing them on free-threaded Python no longer re-enables the GIL (#4073, #4090).

Changelog

Sourced from fonttools's changelog.

4.63.0 (released 2026-05-14)

• [ttLib] Add support for Apple Color Emoji bgcl table (#4065).
• [ttLib] Add support for IFT and IFTX tables (Incremental Font Transfer, PatchMapFormat2) (#4070, #4072).
• [otData] Introduce FieldSpec dataclass for OpenType table schema definitions, replacing raw tuples in otData.py (#4076).
• [Feat] Show name table strings as comments next to label IDs in TTX output, matching the convention used by fvar, STAT, trak (#4089).
• [cu2qu] Fix Cython complex-division rounding difference in split_cubic_into_three that could cause ±1 off-curve coordinate shifts (#3928, #4083).
• [designspaceLib] Fix map_backward for many-to-one (flat-segment) axis maps that silently dropped entries via dict comprehension googlefonts/ufo2ft#978#4085).
• [OS/2] Fix setUnicodeRanges to accept reserved bits 123-127, restoring round-trip with getUnicodeRanges and fixing recalcUnicodeRanges crash in the subsetter (#4087, #4088).
• [cython] Declare Cython extensions as free-threading compatible on Python 3.13+, so that importing them on free-threaded Python no longer re-enables the GIL (#4073, #4090).

Commits

• 978d9ed Release 4.63.0
• 6b40ecb Add changelog entries for 4.63.0
• 382a35f Merge pull request #4090 from fonttools/fix-freethreading-compat
• 0e999b5 Declare Cython extensions as free-threading compatible
• 9e55ea5 Merge pull request #4089 from fonttools/graphite-feat-labels
• e84db3a Merge pull request #4088 from fonttools/fix-setUnicodeRanges-bits-123-127
• d6eabd1 Feat: show name table strings as comments next to label IDs in ttx
• 7d0902b OS/2: fix setUnicodeRanges round-trip for reserved bits 123-127
• 06e266c Merge pull request #4085 from fonttools/fix-map-backward-non-injective
• 6d64598 Add more tests for map_backward with many-to-one axis maps
• Additional commits viewable in compare view

Updates numpy from 2.2.6 to 2.4.6

Release notes

Sourced from numpy's releases.

v2.4.6 (May 18, 2026)

NumPy 2.4.6 Release Notes

NumPy 2.4.6 is a quick release that fixes a regression discovered in the 2.4.5 release.

This release supports Python versions 3.11-3.14

Contributors

A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• !EarlMilktea
• Charles Harris
• Sebastian Berg
• Warren Weckesser

Pull requests merged

A total of 4 pull requests were merged for this release.

• #31444: MAINT: Prepare 2.4.x for further development
• #31453: BUG: Fix regression in arr.conj()
• #31459: BUG: np.linalg.svd(..., hermitian=True) returns non-unitary...
• #31460: BUG: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator...

v2.4.5 (May 15, 2026)

NumPy 2.4.5 Release Notes

NumPy 2.4.5 is a patch release that fixes bugs discovered after the 2.4.4 release, has some typing improvements, and maintains infrastructure.

This release supports Python versions 3.11-3.14

Contributors

A total of 17 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

• Aleksei Nikiforov
• Anarion Zuo +
• Ankit Ahlawat
• Breno Favaretto +
• Charles Harris
• Igor Krivenko +
• Ijtihed Kilani +
• Joren Hammudoglu
• Maarten Baert +

... (truncated)

Changelog

Sourced from numpy's changelog.

This is a walkthrough of the NumPy 2.4.0 release on Linux, which will be the first feature release using the numpy/numpy-release <https://github.com/numpy/numpy-release>__ repository.

The commands can be copied into the command line, but be sure to replace 2.4.0 with the correct version. This should be read together with the :ref:general release guide <prepare_release>.

Facility preparation

Before beginning to make a release, use the requirements/*_requirements.txt files to ensure that you have the needed software. Most software can be installed with pip, but some will require apt-get, dnf, or whatever your system uses for software. You will also need a GitHub personal access token (PAT) to push the documentation. There are a few ways to streamline things:

• Git can be set up to use a keyring to store your GitHub personal access token. Search online for the details.

Prior to release

Add/drop Python versions

When adding or dropping Python versions, multiple config and CI files need to be edited in addition to changing the minimum version in pyproject.toml. Make these changes in an ordinary PR against main and backport if necessary. We currently release wheels for new Python versions after the first Python RC once manylinux and cibuildwheel support that new Python version.

Backport pull requests

Changes that have been marked for this release must be backported to the maintenance/2.4.x branch.

Update 2.4.0 milestones

Look at the issues/prs with 2.4.0 milestones and either push them off to a later version, or maybe remove the milestone. You may need to add a milestone.

Check the numpy-release repo

... (truncated)

Commits

• b832a09 Merge pull request #31462 from charris/prepare-2.4.6
• 57cc147 REL: Prepare for the NumPy 2.4.6 release
• 0c72b0b Merge pull request #31459 from charris/backport-31347
• 9778d26 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
• e0e3876 BUG: core: Don't call INCREF/DECREF on descr in NpyStringAcquireAllocator. (#...
• d1bffeb BUG: np.linalg.svd(..., hermitian=True) returns non-unitary vh (#31347)
• 8d8d7e5 Merge pull request #31453 from seberg/issue-31452
• bddaab7 BUG: Fix regression in arr.conj()
• 37a1ecc Merge pull request #31444 from charris/begin-2.4.6
• 3c0e043 MAINT: Prepare 2.4.x for further development
• Additional commits viewable in compare view

Updates opencv-python from 4.13.0.92 to 5.0.0.93

Release notes

Sourced from opencv-python's releases.

5.0.0.93

OpenCV 5.0.0 released!

OpenCV 5.0.0 overview: https://opencv.org/opencv-5 OpenCV 4.x -> 5.x migration guide: https://github.com/opencv/opencv/wiki/OpenCV-4-to-5-migration

Commits

• See full diff in compare view

Updates openvino from 2026.0.0 to 2026.3.0

Release notes

Sourced from openvino's releases.

2026.3.0

Summary of major features and improvements  

• More GenAI coverage and framework integrations to minimize code changes

  • New models supported:
    • On CPU, GPU, and NPU: SmolLM3-3B, LFM2-1.2B, LFM2.5-1.2B
    • On CPU and GPU: Harrier OSS-v1-0.6B, Qwen3-8B with EAGLE-3, MiniCPM5-1B, FLUX.2-klein-4B
    • Extended to GPU and NPU: YOLO26
    • Additional models available as early releases on CPU and GPU: Qwen3-ASR, Qwen3-Omni, Gemma-3n, Qwen3-VL-Embedding-8B, Kokoro-82M
  • Support for Hugging Face Transformers v5.5, ensuring compatibility with the latest model architectures on Hugging Face

• Broader LLM model support and more model compression techniques

  • OpenVINO™ GenAI extends the EAGLE-3 speculative decoding pipeline to LLMs and VLMs, enhancing existing continuous batching and adding Top-K sampling to deliver additional token-generation speedups on CPUs, GPUs, and NPUs.
  • Lazy weight loading is enabled for IR and ONNX models to automatically select an optimal loading and compilation path, minimizing peak memory usage during model initialization.
  • Neural Network Compression Framework (NNCF) now supports FP8 quantization for ONNX models, helping developers realize FP8 performance, accuracy, and memory gains while expanding low-precision inference options for production deployments.
  • OpenVINO™ GenAI now supports three additional pipelines: Omni for multimodal workloads, ASR for speech recognition, and Embedding for multimodal embedding generation.

• More portability and performance to run AI at the edge, in the cloud, or locally.

  • Introducing support for Intel® Xeon® 6+ processors (formerly codenamed Clearwater Forest)
  • MoE offloading to disk enabled, allowing 30B MoE models like Qwen3-30B-A3B to run even on devices with 16 GB of memory while maintaining acceptable tokens-per-second (TPS) generation rates.
  • OpenVINO™ Model Server simplifies model deployment and unifies REST API endpoints, reducing command complexity while providing standard v1/chat/completions support for easier integration with other serving frameworks.
  • OpenVINO™ Model Server further improves stability, performance, and accuracy for LLMs such as Qwen3.5/3.6 with linear attention and extends tool-parser support to MiniCPM5-1B and LFM2.5, improving accuracy and reliability.

Support Change and Deprecation Notices

• Discontinued in 2026.0:

  • The deprecated openvino.runtime namespace has been removed. Please use the openvino namespace directly.
  • The deprecated openvino.Type.undefined has been removed. Please use openvino.Type.dynamic instead.
  • Support for Debian 10 has been discontinued due to the end of its standard support.
  • The PostponedConstant constructor signature has been updated for improved usability:
    • Old (removed): Callable[[Tensor], None]
    • New: Callable[[], Tensor]
  • The deprecated OpenVINO™ GenAI predefined generation configs were removed.
  • The deprecated OpenVINO GenAI support for whisper stateless decoder model has been removed. Please use a stateful model.
  • The deprecated OpenVINO GenAI StreamerBase put method, bool return type for callbacks, and ChunkStreamer class has been removed.
  • NNCF create_compressed_model() method is now deprecated and removed in 2026. Please use nncf.prune() method for unstructured pruning and nncf.quantize() for INT8 quantization.
  • NNCF optimization methods for TensorFlow models and TensorFlow backend in NNCF are deprecated and removed in 2026. It is recommended to use PyTorch analogous models for training-aware optimization methods and OpenVINO™ IR, PyTorch, and ONNX models for post-training optimization methods from NNCF.
  • The following experimental NNCF methods are deprecated and removed: NAS, Structural Pruning, AutoML, Knowledge Distillation, Mixed-Precision Quantization, Movement Sparsity.
  • CPU plugin now requires support for the AVX2 instruction set as a minimum system requirement. The SSE instruction set will no longer be supported.
  • OpenVINO™ migrated builds based on RHEL 8 to RHEL 9.
  • Dropped support for the TensorFlow Serving (TFS) API in OpenVINO Model Server 2026.3. KServe API is recommended for classic model deployments.

• Deprecated and to be removed in the future:

  • auto shape and auto batch size (reshaping a model in runtime) will be removed in the future. OpenVINO’s dynamic shape models are recommended instead.
  • Starting with 2026.0 release major internal refactoring of the graph iteration mechanism has been implemented for improved performance and maintainability. The legacy path can be enabled by setting the ONNX_ITERATOR=0 environment variable. This legacy path is deprecated and will be removed in future releases.
  • OpenVINO Model Server:
    • The dedicated OpenVINO operator for Kubernetes and OpenShift is now deprecated in favor of the recommended KServe operator. The OpenVINO operator will remain functional in upcoming OpenVINO™ Model Server releases but will no longer be actively developed. Since KServe provides broader capabilities, no loss of functionality is expected. On the contrary, more functionalities will be accessible and migration between other serving solutions and OpenVINO Model Server will be much easier.
    • Support for Stateful models will be deprecated. These capabilities were originally introduced for Kaldi audio models which is no longer relevant. Current audio models support relies on the OpenAI API, and pipelines implemented via OpenVINO GenAI library.
    • Directed Acyclic Graph Scheduler will be deprecated in favor of pipelines managed by MediaPipe scheduler and will be removed in 2026.3. That approach gives more flexibility, includes wider range of calculators and has support for using processing accelerators.

... (truncated)

Commits

• 8a17657 [CI] [GHA] Backport "Update dependencies in the actions/cache" (#36853) (#3...
• de6470e [GPU] Fix visibility mismatch for zero-copy cache load property (#37004)
• b115f06 [GPU] Add config option to control host USM zero-copy for cache import (#36979)
• 6dc2ffe Revert "Add section about npu dynamism (#36938)" (#36985)
• f0ecad6 Add section about npu dynamism (#36938)
• ce03a15 [Transformation][CPU] strided_slice branches concatenation fused into single ...
• 21f4beb [NPUW] Fixed chunked prefill for new LFM2 IR (#36933)
• a9e7448 [GPU] correct SDPA micro prefetch bounds (#36808)
• 69fa6d8 [DOC] system-requirements.rst: Bump system requirements for 2026.3 (#36916)
• 1785c8c Revert "[GPU] Keep RMS normalization nodes in FP32 to prevent NaN from FP16 o...
• Additional commits viewable in compare view

Updates ultralytics from 8.3.253 to 8.4.115

Release notes

Sourced from ultralytics's releases.

v8.4.115 - Deprecate HUB in favor of Ultralytics Platform (#25608)

🌟 Summary

v8.4.115 transitions Ultralytics from legacy HUB integrations to the streamlined Ultralytics Platform experience, with simpler authentication and a leaner training codebase. 🚀

📊 Key Changes

• 🔐 Introduced validated Platform CLI authentication

  • Log in with yolo login API_KEY
  • Remove credentials with yolo logout
  • API keys are checked against the Platform before being saved.

• 🔄 Added settings migration to schema 0.0.7

  • Existing compatible settings, such as custom dataset and run directories, are preserved.
  • Legacy HUB configuration and incompatible HUB API keys are removed automatically.
  • Users with old credentials are directed to create a Platform API key.

• 🧹 Removed the legacy ultralytics.hub package

  • HUB authentication, remote training sessions, model loading, exports, dataset utilities, callbacks, and HUB-specific exceptions have been retired.
  • HUB-related API references, documentation pages, navigation entries, and the HUB example notebook were also removed.

• 🧠 Simplified model and trainer workflows

  • Models no longer load directly from HUB URLs.
  • Training no longer manages HUB sessions, remote checkpoints, heartbeats, or HUB-specific training arguments.
  • Platform callbacks remain available for streaming training information.

• 📚 Updated documentation and examples

  • Guides, notebooks, CLI help, and API documentation now reference the Ultralytics Platform instead of HUB.
  • Platform authentication and login commands are included in the quickstart and CLI documentation.

• ✅ Expanded test coverage

  • Added tests for settings migration, API-key validation, login, and logout behavior.

🎯 Purpose & Impact

• ✨ A clearer user experience: Platform is now the primary destination for dataset management, training, and deployment, avoiding confusion between HUB and Platform services.
• ⚡ Simpler authentication: The new yolo login command validates credentials directly and provides a more intuitive alternative to manually editing settings.
• 🛠️ Cleaner and easier-to-maintain code: Removing obsolete HUB components reduces dependencies, integration complexity, and potential maintenance issues.
• 🔒 Safer upgrades: Existing user settings are migrated instead of being reset, while outdated or incompatible HUB keys are discarded.
• ⚠️ Compatibility consideration: Applications that import ultralytics.hub, use HUB training sessions, load models from HUB URLs, or rely on HUB-specific utilities must migrate to Ultralytics Platform workflows.
• 🚀 Recommended next step: Create a Platform API key and authenticate with:

yolo login YOUR_API_KEY

For no-code dataset annotation, training, and deployment, use the Ultralytics Platform.

What's Changed

• Deprecate HUB in favor of Ultralytics Platform by @​sergiuwaxmann in ultralytics/ultralytics#25608

... (truncated)

Commits

• 98a9cfd Deprecate HUB in favor of Ultralytics Platform (#25608)
• ee3fe3e Surface Platform error messages and stop the console-output retry loop (#25581)
• 5c99019 Fix TorchScript GPU inference device mismatch (#25569)
• 16d89ef fix Python syntax error in similarity-search solution (#25579)
• 74ee4ac Document depth loss gains and attribute semantic and depth in the argument ta...
• a41b69b Fix DDP error when total batch size is higher than validation images (#25576)
• 5954e8e Fix NCNN and Paddle export of prompt-free YOLOE models (#25568)
• 37b64d0 Fix: Analytics line chart total_counts resets before update_graph consumes it...
• 56afc74 Fix Annotator.kpts() dropping keypoints and limbs on image borders (#25565)
• f338491 Fix IndexError in class_activation_map with out-of-range classes (#25582)
• Additional commits viewable in compare view

Updates pydantic from 2.12.5 to 2.13.4

Release notes

Sourced from pydantic's releases.

v2.13.4 2026-05-06

v2.13.4 (2026-05-06)

What's Changed

Packaging

• Bump libc from 0.2.155 to 0.2.185 by @​Viicos in #13109
• Adapt pydantic-core linker flags on macOS by @​washingtoneg and @​Viicos in #13147

Fixes

• Preserve RootModel core metadata by @​Viicos in #13129

Full Changelog: pydantic/pydantic@v2.13.3...v2.13.4

v2.13.3 2026-04-20

v2.13.3 (2026-04-20)

What's Changed

Fixes

• Handle AttributeError subclasses with from_attributes by @​Viicos in #13096

Full Changelog: pydantic/pydantic@v2.13.2...v2.13.3

v2.13.2 2026-04-17

v2.13.2 (2026-04-17)

What's Changed

Fixes

• Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

Full Changelog: pydantic/pydantic@v2.13.1...v2.13.2

v2.13.1 2026-04-15

v2.13.1 (2026-04-15)

What's Changed

Fixes

• Fix ValidationInfo.data missing with model_validate_json() by @​davidhewitt in #13079

Full Changelog: pydantic/pydantic@v2.13.0...v2.13.1

v2.13.0 2026-04-13

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.13.4 (2026-05-06)

GitHub release

What's Changed

Packaging

• Bump libc from 0.2.155 to 0.2.185 by @​Viicos in #13109
• Adapt pydantic-core linker flags on macOS by @​washingtoneg and @​Viicos in #13147

Fixes

• Preserve RootModel core metadata by @​Viicos in #13129

v2.13.3 (2026-04-20)

GitHub release

What's Changed

Fixes

• Handle AttributeError subclasses with from_attributes by @​Viicos in #13096

v2.13.2 (2026-04-17)

GitHub release

What's Changed

Fixes

• Fix ValidationInfo.field_name missing with model_validate_json() by @​Viicos in #13084

v2.13.1 (2026-04-15)

GitHub release

What's Changed

Fixes

• Fix ValidationInfo.data missing with model_validate_json() by @​davidhewitt in #13079

v2.13.0 (2026-04-13)

GitHub release

The highlights of the v2.13 release are available in the blog post.

... (truncated)

Commits

• cf67d4b Fix linting
• f0d8a21 Prepare release v2.13.4
• 5e3fe1d Check for pydantic tag pattern in CI
• 7f9edcc Document tagging conventions
• b46a0c9 Adapt pydantic-core linker flags on macOS
• 50629c8 Update to PyPy 7.3.22
• 8522ebb Preserve RootModel core metadata
• a37f3af Adapt MISSING sentinel test to work with unreleased typing_extensions ver...
• 909259a Remove Logfire example in documentation
• 2c4174c Bump libc from 0.2.155 to 0.2.185
• Additional commits viewable in compare view

Updates structlog from 25.5.0 to 26.1.0

Release notes

Sourced from structlog's releases.

26.1.0

Highlights

Given how long this release took, it's pretty thicc with nice things all over the board! Apologies for the long release cycle; it's been a victim of the slopocalypse and me trying to navigate my way thru the new normal. Extra big thanks to my sponsors for not abandoning me in these unironically trying times. ❤️

Full changelog below!

Special Thanks

This release would not be possible without my generous sponsors! Thank you to all of you making sustainable maintenance possible! If you would like to join them, go to https://github.com/sponsors/hynek and check out the sweet perks!

Above and Beyond

Variomedia AG (@variomedia), Tidelift (@tidelift), Kraken Tech (@kraken-tech), Klaviyo (@klaviyo), Privacy Solutions GmbH (@privacy-solutions), FilePreviews (@filepreviews), Ecosystems (@ecosyste-ms), TestMu AI Open Source Office (Formerly LambdaTest) (@LambdaTest-Inc), GitHub (@github), Doist (@Doist), Daniel Fortunov (@asqui), and Kevin P. Fleming (@kpfleming).

Maintenance Sustainers

Buttondown (@buttondown), Christopher Dignam (@chdsbd), Magnus Watn (@magnuswatn), David Cramer (@dcramer), Rivo Laks (@rivol), Polar (@polarsource), Mike Fiedler (@miketheman), Duncan Hill (@cricalix), Colin Marquardt (@cmarqu), Pieter Swinkels (@swinkels), Nick Libertini (@libertininick), Brian M. Dennis (@crossjam), Al Sweigart (@asweigart), Celebrity News AG (@celebritynewsag), The Westervelt Company (@westerveltco), Sławomir Ehlert (@slafs), Mostafa Khalil (@khadrawy), Filip Mularczyk (@mukiblejlok), Thomas Klinger (@thmsklngr), Andreas Poehlmann (@ap--), August Trapper Bigelow (@atbigelow), Carlton Gibson (@carltongibson), and Roboflow (@roboflow).

Full Changelog

Removed

• Python 3.8 and 3.9 support.

Deprecated

• Support for better-exceptions is deprecated and will be removed within a year. Use our Rich integration or copy-paste the one line of code you need. #802

Added

• Python 3.15 support. #813

• structlog.dev.rich_monochrome_traceback for Rich-based monochrome exception rendering and add support for it throughout structlog.dev.ConsoleRenderer when the user asks for no colors. #794

• structlog.BytesLogger now has a name attribute which allows you to use it with the structlog.stdlib.add_logger_name() processor without using the standard library integration. #786

• structlog.processors.CallsiteParameterAdder now supports CallsiteParameter.QUAL_MODULE that adds the qualified import name of the module of the callsite, or __main__ if the module is the entry point. This is only available for structlog-originated events since the standard library has no equivalent (except for the convention of setting the logger's name to __name__). #812

• structlog.stdlib.BoundLogger now has is_enabled_for() and get_effective_level() methods that are snake_case aliases for its isEnabledFor() and getEffectiveLevel() methods. This makes it more compatible with the native structlog.typing.FilteringBoundLogger, so you can swap configurations without changing your call sites. #818

Changed

• structlog.dev.ConsoleRenderer does not warn anymore when the exception key has a rendered value despite having a fancy formatter configured. #790

... (truncated)

Changelog

Sourced from structlog's changelog.

26.1.0 - 2026-06-06

Removed

• Python 3.8 and 3.9 support.

Deprecated

• Support for better-exceptions is deprecated and will be removed within a year. Use our Rich integration or copy-paste the one line of code you need. #802

Added

• Python 3.15 support. #813

• structlog.dev.rich_monochrome_traceback for Rich-based monochrome exception rendering and add support for it throughout structlog.dev.ConsoleRenderer when the user asks for no colors. #794

• structlog.BytesLogger now has a name attribute which allows you to use it with the structlog.stdlib.add_logger_name() processor without using the standard library integration. #786

• structlog.processors.CallsiteParameterAdder now supports CallsiteParameter.QUAL_MODULE that adds the qualified import name of the module of the callsite, or __main__ if the module is the entry point. This is only available for structlog-originated events since the standard library has no equivalent (except for the convention of setting the logger's name to __name__). #812

• structlog.stdlib.BoundLogger now has is_enabled_for() and get_effective_level() methods that are snake_case aliases for its isEnabledFor() and getEffectiveLevel() methods. This makes it more compatible with the native structlog.typing.FilteringBoundLogger, so you can swap configurations without changing your call sites. #818

Changed

• structlog.dev.ConsoleRenderer does not warn anymore when the exception key has a rendered value despite having a fancy formatter configured. #790

Fixed

• structlog.BytesLogger, structlog.PrintLogger, and structlog.WriteLogger now hold weak references to the files they use for output. This prevents their leakage in long-running processes that open many logfiles, such as task executors that create a per-task BytesLogger or WriteLogger. #807

• structlog.WriteLogger is usable after unpickling. #787

• structlog.processors.CallsiteParameterAdder now reports the calling thread's id and name for async log methods, instead of the thread from the executor pool that runs the underlying sync logger.

... (truncated)

Commits

• 8174a86 Prepare 26.1.0
• f168bda docs: fix msgspec URL
• 34abbd9 update dev
• 212a694 [pre-commit.ci] pre-commit autoupdate (#820)
• 0eef50d stdlib: Add snake_case shims for isEnabledFor & getEffectiveLevel (#818)
• f194271 docs/stdlib: be direct w/ advising against AsyncBoundLogger
• 72943b3 Add a recipe for customizing exc dict formatting (#817)
• fcdca9f update dev
• fe9858d docs: remove italics
• ba1a178 Add CallsiteParameter.QUAL_MODULE (#812)
• Additional commits viewable in compare view

Updates idna from 3.15 to 3.18

Changelog

Sourced from idna's changelog.

3.18 (2026-06-02)

• When decoding a domain, add a display argument that will pass through invalid labels rather than raising an exception.

3.17 (2026-05-28)

• Substantial 75% reduction in memory usage through new data structures and some optimization in processing speed.
• Added a general 1024-character input length cap to the public validation, conversion, and codec entry points. This is well above any legitimate domain or label and guards against pathological inputs.

3.16 (2026-05-22)

• Add a command-line interface (python -m idna, also available as the idna script). Encodes or decodes one or more domains supplied as arguments or on standard input, with options to select A-label or U-label output and control error handling.
• Raise the minimum supported Python version to 3.9
• Various code quality improvements

Commits

• f39ea90 Release 3.18
• 40f4e40 Pre-release 3.18rc0
• 1a5bf80 Merge pull request #253 from kjd/lenient-decode
• 5bbb26f Merge branch 'master' into lenient-decode
• c532bae Rename decode() lenient= option to display= (issue #248)

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.

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