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@dependabot dependabot Bot commented on behalf of github May 7, 2026

Bumps the pip group with 8 updates in the / directory:

Package From To
pydantic 2.11.4 2.13.4
pyvisa-py 0.4.1 0.8.1
numpy 2.1.2 2.4.4
scikit-image 0.25.2 0.26.0
matplotlib 3.9.2 3.10.9
python-socketio 5.11.4 5.16.1
jupyterlab 4.2.5 4.5.7
av 13.1.0 17.0.1

Updates pydantic from 2.11.4 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

Fixes

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

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

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

Fixes

v2.13.3 (2026-04-20)

GitHub release

What's Changed

Fixes

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

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 pyvisa-py from 0.4.1 to 0.8.1

Release notes

Sourced from pyvisa-py's releases.

0.8.1

What's Changed

New Contributors

Full Changelog: pyvisa/pyvisa-py@0.8.0...0.8.1

0.8.0

What's Changed

... (truncated)

Changelog

Sourced from pyvisa-py's changelog.

0.8.1 (04-09-2025)

  • allow users to easily change the VXI-11 lock timeout PR #496
  • ensure listing of GPIB resources works after PR #484 PR #523
  • add support for pyocd/libusb_package PyUSB backend PR #524

0.8.0 (01-04-2025)

  • add support for USB and Ethernet Prologix adapters PR #484
  • improve message when USB device serial number is not readable PR #423
  • ignore network interface card with no subnet mask when discovering TCPIP resources PR #478
  • add VICP INSTR to the supported interface for TCPIP keep alive attr PR #477
  • add read_stb method for TCPIP HiSLIP client PR #429
  • fix usbtmc implementation to respect section 3.3 of the spec PR #449 Read now reads from usb until a "short packet" or if all data (transfer_size) PR #465 has been read (see specification), and only expects a header on the first packet received.
  • fix usbtmc implementation to properly discard the alignment bytes ensuring only the actual data (transfer_size) is retained in the message PR #465
  • Implemented partial USBTMC message functionality that allows reading the amount of bytes specified by host PR #470
  • add support for VI_ATTR_SUPPRESS_END_EN for USB resources PR #449
  • support open_timeout for TCPIP hislip resources PR #430
  • fix serial flow control configuration PR #483
  • Fix large data transfer using USBTMC PR #490

0.7.2 (07/03/2024)

  • fix usbtmc to use MaxPacketSize reported by endpoint PR #417

0.7.1 (26/10/2023)

  • add URL-support to ASLR devices PR #386
  • add support for GPIB secondary addresses
  • fix missing sock.close() in rpc _connect()
  • Adjusted how iter_bytes works to be more accurate to the VISA spec and removed it from the serial module (it can still be found in common)
  • fix HiSLIP message tracking after read timeout PR #376
  • handle read_termination of null in tcipip PR #394
  • fix tcpip keepalive PR #396
  • store more attributes for USB resources PR #399

0.7.0 (05/05/2023)

  • add support for the flush operation with TCPIP::SOCKET resources PR #350

... (truncated)

Commits
  • f561aea cut release 0.8.1
  • 7eab746 ci use trusted publishing
  • 103b857 Support pyocd/libusb-package PyUSB backend (#524)
  • ed6a133 build(deps): bump sigstore/gh-action-sigstore-python from 3.0.0 to 3.0.1 (#511)
  • e87492b build(deps): bump actions/checkout from 4 to 5 (#521)
  • ee9bac7 List GPIB::INSTR resources through the dispatcher enabling PROLOGIX support (...
  • 0d877ac [pre-commit.ci] pre-commit autoupdate (#526)
  • e12a0da [pre-commit.ci] pre-commit autoupdate (#525)
  • 5339149 [pre-commit.ci] pre-commit autoupdate (#522)
  • 5258e18 [pre-commit.ci] pre-commit autoupdate (#519)
  • Additional commits viewable in compare view

Updates numpy from 2.1.2 to 2.4.4

Release notes

Sourced from numpy's releases.

2.4.4 (Mar 29, 2026)

NumPy 2.4.4 Release Notes

The NumPy 2.4.4 is a patch release that fixes bugs discovered after the 2.4.3 release. It should finally close issue #30816, the OpenBLAS threading problem on ARM.

This release supports Python versions 3.11-3.14

Contributors

A total of 8 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Charles Harris
  • Daniel Haag +
  • Denis Prokopenko +
  • Harshith J +
  • Koki Watanabe
  • Marten van Kerkwijk
  • Matti Picus
  • Nathan Goldbaum

Pull requests merged

A total of 7 pull requests were merged for this release.

  • #30978: MAINT: Prepare 2.4.x for further development
  • #31049: BUG: Add test to reproduce problem described in #30816 (#30818)
  • #31052: BUG: fix FNV-1a 64-bit selection by using NPY_SIZEOF_UINTP (#31035)
  • #31053: BUG: avoid warning on ufunc with where=True and no output
  • #31058: DOC: document caveats of ndarray.resize on 3.14 and newer
  • #31079: TST: fix POWER VSX feature mapping (#30801)
  • #31084: MAINT: numpy.i: Replace deprecated sprintf with snprintf...

2.4.3 (Mar 9, 2026)

NumPy 2.4.3 Release Notes

The NumPy 2.4.3 is a patch release that fixes bugs discovered after the 2.4.2 release. The most user visible fix may be a threading fix for OpenBLAS on ARM, closing issue #30816.

This release supports Python versions 3.11-3.14

Contributors

A total of 11 people contributed to this release. People with a "+" by their names contributed a patch for the first time.

  • Antareep Sarkar +

... (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
  • be93fe2 Merge pull request #31090 from charris/prepare-2.4.4
  • f5245dc REL: Prepare for the NumPy 2.4.4 release
  • 02e838b Merge pull request #31084 from charris/backport-31056
  • fa74b2d MAINT: numpy.i: Replace deprecated sprintf with snprintf (#31056)
  • 533a6db Merge pull request #31079 from charris/backport-20801
  • 9e496cb TST: fix POWER VSX feature mapping (#30801)
  • 8052c4b Merge pull request #31058 from charris/backport-31021
  • 7f13b5a MAINT: Skip test on PyPy.
  • 4c5fdd6 MAINT: Remove unused import of tracemalloc.
  • a3ca5ed Update numpy/_core/src/multiarray/shape.c
  • Additional commits viewable in compare view

Updates scikit-image from 0.25.2 to 0.26.0

Release notes

Sourced from scikit-image's releases.

v0.26.0

scikit-image 0.26.0

We're happy to announce the release of scikit-image 0.26.0!

New Features

  • Add new parameter max_step_cost to skimage.graph.MCP.find_costs which allows limiting the maximal stepping cost between points (#7625).
  • In skimage.transform, add the identity class constructor to all geometric transforms. For example, you can now use skimage.transform.PolynomialTransform(dimensionality=2) (#7754).
  • Add new property intensity_median to skimage.measure.regionprops (#7745).
  • binary_blobs now supports a mode parameter for the Gaussian filter, allowing periodic boundary conditions with mode="wrap" (#7909).

API Changes

  • In skimage.morphology, deprecate binary_erosion, binary_dilation, binary_opening, and binary_closing in favor of erosion, dilation, opening, and closing respectively. The binary versions weren't actually significantly faster than their non-binary counterparts and sometimes significantly slower. In the future, we might add optimizations internally to the remaining (general, non-binary) functions for when they're used with binary inputs (#7665).
  • Deprecate parameter max_cost in skimage.graph.MCP.find_costs which previously did nothing. Use the new parameter max_step_cost instead (#7625).
  • Deprecate parameter max_cumulative_cost in skimage.graph.MCP.find_costs which did nothing (#7625).
  • In skimage.morphology.remove_small_objects, deprecate the min_size parameter in favor of the new max_size parameter to make API and behavior clearer. This new threshold removes objects smaller than or equal to its value, while the previous parameter only removed smaller ones (#7739).
  • In skimage.morphology.remove_small_holes, deprecate the area_threshold parameter in favor of the new max_size parameter to make API and behavior clearer. This new threshold removes holes smaller than or equal to its value, while the previous parameter only removed smaller ones (#7739).
  • In skimage.transform, deprecate the use of scalar scale, with dimensionality=3 where this can be passed to a geometric transform contructor. This allows us to generalize the use of the constructors to the case where the parameters must specify the dimensionality, unless you mean to construct an identity transform (#7754).
  • In skimage.transform, turn all input parameters to transform constructors keyword-only (other than matrix). This avoids confusion due to the positional parameter order being different from the order by which they are applied in AffineTransform (#7754).
  • Deprecate parameter num_threads in skimage.restoration.rolling_ball; use workers instead (#7302).
  • Deprecate parameter num_workers in skimage.restoration.cycle_spin; use workers instead (#7302).
  • Officially deprecate old properties in skimage.measure.regionprops and related functions. While we removed the documentation for these some time ago, they where still accessible as keys (via __get_item__) or attributes. Going forward, using deprecated keys or attributes, will emit an appropriate warning (#7778).
  • In skimage.measure, add a new class method and constructor from_estimate for LineModelND, CircleModel, and EllipseModel. This replaces the old API—the now deprecated estimate method—which required initalizing a model with undefined parameters before calling estimate (#7771).
  • In skimage.transform, add a new class method and constructor from_estimate for AffineTransform, EssentialMatrixTransform, EuclideanTransform, FundamentalMatrixTransform, PiecewiseAffineTransform, PolynomialTransform, ProjectiveTransform, SimilarityTransform, and ThinPlateSplineTransform. This replaces the old API—the now deprecated estimate method—which required initializing an undefined transform before calling estimate (#7771).
  • Deprecate skimage.measure.fit.BaseModel; after we expire the other *Model* deprecations, there is no work for an ancestor class to do (#7789).
  • In skimage.measure, deprecate .params attributes of the models CircleModel, EllipseModel, and LineModelND. Instead set model-specific attributes: origin, direction for LineModelND; center, radius for CircleModel, center, ax_lens, theta for EllipseModel (#7789).
  • In skimage.measure, deprecate use of model constructor calls without arguments leaving an uninitialized instance (for example CircleModel()). This applies to CircleModel, EllipseModel, and LineModelND. Instead prefer input arguments to define instances (for example CircleModel(center, radius)). This follows on from prior deprecation of the estimate method, which had implied the need for the no-argument constructor, of form cm = CircleMoldel(); cm.estimate(data) (#7789).
  • In skimage.measure, deprecate use of params arguments to predict* calls of model objects. This applies to CircleModel, EllipseModel, and LineModelND. We now ask instead that the user provide initialization equivalent to the params content in the class construction. For example, prefer cm = CircleModel((2, 3), 4); x = cm.predict_x(t) to cm = CircleMoldel(); x = cm.predict_x(t, params=(2, 3, 4))) (#7789).

Enhancements

  • Raise a ValueError instead of a TypeError in CircleModel, EllipseModel, and LineModelND in skimage.measure. This applies when failing to pass a value for params (or passing params=None) to predict methods of an uninitialized transform (#7789).
  • In skimage.measure, the RegionProperties class that is returned by regionprops, now has a formatted string representation (__repr__). This representation includes the label of the region and its bounding box (#7887).

Performance

  • Use greedy einsum optimization in skimage.measure.moments_central (#7947).
  • Add lazy loading to skimage.segmentation (#7035).

Bug Fixes

  • Make deconvolution example scientifically sensible (#7589).
  • In skimage.filters.sobel/scharr/prewitt/farid, when mode="constant" is used ensure that cval has an effect. It didn't previously (#7826).
  • Ensure skimage.graph.cut_normalized is deterministic when seeded with the rng parameter and when SciPy 1.17.0.dev0 or newer is installed. With earlier SciPy versions the internally used function scipy.linalg.eigsh is not deterministic and can lead to different results (#7912).
  • Avoid potential integer overflow in skimage.morphology.reconstruction (#7938).
  • Handle negative axis lengths due to numerical errors in axis_major_length and axis_minor_length properties of skimage.measure.regionprops (#7916).
  • In skimage.util.random_noise, ensure that clip argument is handled consistently for various modes (#7924).
  • Apparent fix for Hough transform stray j (#7974).

... (truncated)

Commits
  • ee0a7a3 Designate 0.26.0 release
  • b0e3c2d Clarify RELEASE.txt after v0.26.0rc2 (#7990)
  • a12ddfa Bump version in skimage init to 0.26.0rc3.dev0
  • ab3bd14 Bump version in skimage init to 0.26.0rc2
  • c27ac8f Designate 0.26.0rc2 release (#7987)
  • 211223b Clarify non-native support for masked array in the documentation (#7968)
  • b3da953 Mark test_wrap_around as xfail on macOS until 2026-02-01 (#7985)
  • 2799d12 Note issue number tracking the flakiness
  • 52996fd Set exception type in xfail
  • dd49f1f xfail on macOS and make mark temporary until 2026-02-01
  • Additional commits viewable in compare view

Updates matplotlib from 3.9.2 to 3.10.9

Release notes

Sourced from matplotlib's releases.

v3.10.9

This is a micro release of the v3.10.x series. Highlights of this release include:

  • Various minor bug and doc fixes
  • Security hardening validation of cyclers - Removing eval usage
  • Security hardening in Latex and PS calls - Removing shell escapes

REL: v3.10.8

This is a bugfix release in the 3.10.x series.

The primary highlights of this release are:

  • Properly allow freethreaded mode in the MacOS backend
  • Better error handling for MacOS backend

REL: v3.10.7

This is the latest bugfix release in the 3.10.x series.

The most important update in this release is that the minimum version of pyparsing has been updated to version 3.0.

REL: v3.10.6

This is a bugfix release in the 3.10.x series.

Highlights from this release include:

- Fix regression of hi-dpi support for Qt
- Fix race condition in TexManager.make_dvi & make_png
- Various documentation and other bugfixes

REL: v3.10.5

This is the fourth bugfix release of the 3.10.x series.

Included in this release is distributed wheels for Python 3.14 (including freethreaded) and Windows ARM.

There are also several smaller bugfixes.

REL: v3.10.3

This is the third bugfix release of the 3.10.x series

REL: v3.10.1

This is the first bugfix release of the 3.10.x series.

This release contains several bug-fixes and adjustments:

  • Respect array alpha with interpolation_stage='rgba' in _Imagebase::_make_image
  • Remove md5 usage to prevent issues on FIPS enabled systems

... (truncated)

Commits
  • dd8d78b REL: v3.10.9
  • 2fb1891 REL: Release prep v3.10.9
  • d0e923a Merge branch 'v3.10.8-doc' into v3.10.x
  • 1637932 Merge pull request #31558 from meeseeksmachine/auto-backport-of-pr-31556-on-v...
  • a83faac Backport PR #31556: FIX: Inverted PyErr_Occurred check in enum type caster (_...
  • a4f57ab Merge pull request #31545 from ksunden/backport-of-pr-31282-on-v3.10.x
  • 063288d Merge pull request #31544 from ksunden/backport-of-pr-31248-on-v3.10.x
  • b2ed196 Backport PR #31248: SEC: Remove eval() from validate_cycler
  • acc6024 Merge pull request #31282 from scottshambaugh/tex_no_shell
  • e3fb541 Merge pull request #31078 from meeseeksmachine/auto-backport-of-pr-31075-on-v...
  • Additional commits viewable in compare view

Updates python-socketio from 5.11.4 to 5.16.1

Release notes

Sourced from python-socketio's releases.

Release 5.16.1

See CHANGES.md for release notes.

Release 5.16.0

See CHANGES.md for release notes.

Release 5.15.1

See CHANGES.md for release notes.

Release 5.15.0

See CHANGES.md for release notes.

Release 5.14.3

See CHANGES.md for release notes.

Release 5.14.2

See CHANGES.md for release notes.

Release 5.14.1

See CHANGES.md for release notes.

Release 5.14.0

See CHANGES.md for release notes.

Release 5.13.0

See CHANGES.md for release notes.

Release 5.12.1

See CHANGES.md for release notes.

Release 5.12.0

See CHANGES.md for release notes.

Changelog

Sourced from python-socketio's changelog.

python-socketio change log

Release 5.16.1 - 2026-02-06

  • Use configured JSON module in managers #1549 (commit)
  • Admin UI fixes: remove duplicate tasks, report transport upgrades (commit)
  • Switch to Furo documentation template (commit)
  • Add Python free-threading to CI #1554 (commit)

Release 5.16.0 - 2025-12-24

  • Address deprecation warnings (commit)
  • Drop Python 3.8 and 3.9 from CI builds (commit)

Release 5.15.1 - 2025-12-16

  • Restore support multiple arguments via pubsub emits #1540 (commit)

Release 5.15.0 - 2025-11-22

Release 5.14.3 - 2025-10-29

  • Support Python's native ConnectionRefusedError exception to reject a connection #1515 (commit)
  • Push binary data to the aiopika client manager #1514 (commit)

Release 5.14.2 - 2025-10-15

  • Restore binary message support in message queue setups #1509 (commit)
  • Fix formatting of client connection error #1507 (commit)
  • Add 3.14 and pypy-3.11 CI tasks (commit)
  • Improve documentation of the BaseManager.get_participants() method (commit)

Release 5.14.1 - 2025-10-02

  • Restore support for rediss:// URLs, and add support for valkeys:// as well (commit)
  • Add support for Redis connections using unix sockets #1503 (commit) (thanks Darren Chang!)

Release 5.14.0 - 2025-09-30

  • Replace pickle with json in message queue communications #1502 (commit)
  • Add support for Valkey in the Redis client managers #1488 (commit) (thanks phi-friday!)
  • Keep track of which namespaces failed to connect #1496 (commit)
  • Fixed transport property of the simple clients to be a string as documented #1499 (commit)

... (truncated)

Commits
  • 2082c08 Release 5.16.1
  • add47d8 Switch to Furo documentation template
  • 6229261 Use configured JSON module in managers (Fixes #1549) (#1553)
  • ccdd200 Add Python free-threading to CI (#1554)
  • e40fc63 Bump django in /examples/server/wsgi/django_socketio (#1552) #nolog
  • 1c2eab1 Admin UI fixes: remove duplicate tasks, report transport upgrades
  • 8469b69 Bump qs and express in /examples/client/javascript (#1544) #nolog
  • 174629e Bump aiohttp from 3.12.14 to 3.13.3 in /examples/server/aiohttp (#1543) #nolog
  • 7353b27 Bump qs and express in /examples/server/javascript (#1542) #nolog
  • e01550b Fix typos in documentation #nolog (Fixes #1541)
  • Additional commits viewable in compare view

Updates jupyterlab from 4.2.5 to 4.5.7

Release notes

Sourced from jupyterlab's releases.

v4.5.7

4.5.7

(Full Changelog)

Security patches

Bugs fixed

Maintenance and upkeep improvements

Bumps the pip group with 8 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [pydantic](https://github.com/pydantic/pydantic) | `2.11.4` | `2.13.4` |
| [pyvisa-py](https://github.com/pyvisa/pyvisa-py) | `0.4.1` | `0.8.1` |
| [numpy](https://github.com/numpy/numpy) | `2.1.2` | `2.4.4` |
| [scikit-image](https://github.com/scikit-image/scikit-image) | `0.25.2` | `0.26.0` |
| [matplotlib](https://github.com/matplotlib/matplotlib) | `3.9.2` | `3.10.9` |
| [python-socketio](https://github.com/miguelgrinberg/python-socketio) | `5.11.4` | `5.16.1` |
| [jupyterlab](https://github.com/jupyterlab/jupyterlab) | `4.2.5` | `4.5.7` |
| [av](https://github.com/PyAV-Org/PyAV) | `13.1.0` | `17.0.1` |



Updates `pydantic` from 2.11.4 to 2.13.4
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/v2.13.4/HISTORY.md)
- [Commits](pydantic/pydantic@v2.11.4...v2.13.4)

Updates `pyvisa-py` from 0.4.1 to 0.8.1
- [Release notes](https://github.com/pyvisa/pyvisa-py/releases)
- [Changelog](https://github.com/pyvisa/pyvisa-py/blob/main/CHANGES)
- [Commits](pyvisa/pyvisa-py@0.4.1...0.8.1)

Updates `numpy` from 2.1.2 to 2.4.4
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v2.1.2...v2.4.4)

Updates `scikit-image` from 0.25.2 to 0.26.0
- [Release notes](https://github.com/scikit-image/scikit-image/releases)
- [Changelog](https://github.com/scikit-image/scikit-image/blob/main/RELEASE.txt)
- [Commits](scikit-image/scikit-image@v0.25.2...v0.26.0)

Updates `matplotlib` from 3.9.2 to 3.10.9
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.9.2...v3.10.9)

Updates `python-socketio` from 5.11.4 to 5.16.1
- [Release notes](https://github.com/miguelgrinberg/python-socketio/releases)
- [Changelog](https://github.com/miguelgrinberg/python-socketio/blob/main/CHANGES.md)
- [Commits](miguelgrinberg/python-socketio@v5.11.4...v5.16.1)

Updates `jupyterlab` from 4.2.5 to 4.5.7
- [Release notes](https://github.com/jupyterlab/jupyterlab/releases)
- [Changelog](https://github.com/jupyterlab/jupyterlab/blob/main/RELEASE.md)
- [Commits](https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/lsp@4.2.5...@jupyterlab/lsp@4.5.7)

Updates `av` from 13.1.0 to 17.0.1
- [Release notes](https://github.com/PyAV-Org/PyAV/releases)
- [Changelog](https://github.com/PyAV-Org/PyAV/blob/main/CHANGELOG.rst)
- [Commits](PyAV-Org/PyAV@v13.1.0...v17.0.1)

---
updated-dependencies:
- dependency-name: pydantic
  dependency-version: 2.13.4
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: pyvisa-py
  dependency-version: 0.8.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: numpy
  dependency-version: 2.4.4
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: scikit-image
  dependency-version: 0.26.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: matplotlib
  dependency-version: 3.10.9
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: python-socketio
  dependency-version: 5.16.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: jupyterlab
  dependency-version: 4.5.7
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: av
  dependency-version: 17.0.1
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels May 7, 2026
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