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build(pip): bump the pip group across 1 directory with 9 updates - #327

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Bumps the pip group with 9 updates in the / directory:

Package From To
pydantic 2.11.4 2.14.0
pyvisa-py 0.4.1 0.8.1
numpy 2.1.2 2.4.6
scikit-image 0.25.2 0.26.0
matplotlib 3.9.2 3.11.2
python-socketio 5.11.4 5.17.0
jupyterlab 4.2.5 4.6.4
arkitekt 0.7.8 6.2.1
av 13.1.0 18.1.0

Updates pydantic from 2.11.4 to 2.14.0

Release notes

Sourced from pydantic's releases.

v2.14.0 2026-10-08

What's Changed

The highlights of the v2.14 release are available in the blog post. Several minor changes (considered non-breaking changes according to our versioning policy) are also included in this release. Make sure to look into them before upgrading.

This release drops support for Python 3.9 and adds support for Python 3.15.

New Features

  • Add support for multiple_of constraint in fraction and timedelta core schemas by @​Viicos in #13873
  • Add __namespace__ parameter to create_model() by @​Viicos in #13895

Changes

Fixes

  • Call enum constructors in both validation modes by @​Viicos in #13792
  • Fix documentation examples not raising and remove unused string_sub_type unused error code by @​Viicos in #13821
  • Catch OverflowError during ByteSize validation by @​Viicos in #13850
  • Require multiple_of constraints to be positive by @​Viicos in #13862
  • Always pop field name and model type stacks during schema generation by @​saquibjawedbit in #13859
  • Handle TypeError gracefully during docstring extraction by @​Viicos in #13874
  • Fix config propagation of stdlib dataclasses and TypedDicts in JSON Schema by @​Viicos in #13891
  • Don't apply ser_json_timedelta to all datetime types in serialization inference by @​Viicos in #13892
  • Encode JSON Schema defaults with a consistent configuration by @​Viicos in #13893
  • Propagate init and kw_only=False from Field() to stdlib dataclass fields by @​Viicos in #13898
  • Respect propagated extra config in the JSON Schema of stdlib dataclasses by @​Viicos in #13899
  • Handle OS errors during ZoneInfo validation by @​Viicos in #13912
  • Handle exceptions during Decimal validation by @​Viicos in #13940
  • Rebuild incomplete types during serialization inference by @​Viicos in #13922
  • Reject large exponents in Fraction validation by @​Viicos in #13944
  • Avoid validating URL prefix multiple times in multi host URLs by @​Viicos in #13945

Full Changelog: pydantic/pydantic@v2.13.0...v2.14.0

v2.14.0b2 2026-09-09

What's Changed

This pre-release adds full support for Python 3.15 specific features, such as support for frozendict, making use of TypeForm and stabilizing the MISSING sentinel type.

New Features

... (truncated)

Changelog

Sourced from pydantic's changelog.

v2.14.0 (2026-10-08)

GitHub release

What's Changed

The highlights of the v2.14 release are available in the blog post. Several minor changes (considered non-breaking changes according to our versioning policy) are also included in this release. Make sure to look into them before upgrading.

This release drops support for Python 3.9 and adds support for Python 3.15.

New Features

  • Add support for multiple_of constraint in fraction and timedelta core schemas by @​Viicos in #13873
  • Add __namespace__ parameter to create_model() by @​Viicos in #13895

Changes

Fixes

  • Call enum constructors in both validation modes by @​Viicos in #13792
  • Fix documentation examples not raising and remove unused string_sub_type unused error code by @​Viicos in #13821
  • Catch OverflowError during ByteSize validation by @​Viicos in #13850
  • Require multiple_of constraints to be positive by @​Viicos in #13862
  • Always pop field name and model type stacks during schema generation by @​saquibjawedbit in #13859
  • Handle TypeError gracefully during docstring extraction by @​Viicos in #13874
  • Fix config propagation of stdlib dataclasses and TypedDicts in JSON Schema by @​Viicos in #13891
  • Don't apply ser_json_timedelta to all datetime types in serialization inference by @​Viicos in #13892
  • Encode JSON Schema defaults with a consistent configuration by @​Viicos in #13893
  • Propagate init and kw_only=False from Field() to stdlib dataclass fields by @​Viicos in #13898
  • Respect propagated extra config in the JSON Schema of stdlib dataclasses by @​Viicos in #13899
  • Handle OS errors during ZoneInfo validation by @​Viicos in #13912
  • Handle exceptions during Decimal validation by @​Viicos in #13940
  • Rebuild incomplete types during serialization inference by @​Viicos in #13922
  • Reject large exponents in Fraction validation by @​Viicos in #13944
  • Avoid validating URL prefix multiple times in multi host URLs by @​Viicos in #13945

New Contributors

v2.14.0b2 (2026-09-09)

GitHub release

... (truncated)

Commits

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 2.4.6

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 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 3.11.2

Release notes

Sourced from matplotlib's releases.

REL: v3.11.2

This is the second bugfix release of the 3.11.x series.

This release contains several bug-fixes and adjustments:

  • Speed up RGBA-stage image resampling
  • Fix hexbin clipping in PDF output
  • Fix \text with internal braces
  • Fix some crashes and make some checks more robust to unlikely cases
  • Fix frame skew when saving GIF animations with PillowWriter
  • Fix HiDPI handling in Qt toolbar and WebAgg embeddings
  • Fix ResizeEvent handling for TextBox
  • Fix bug with PGF hatch linewidth and color
  • Fix a bug with drawing an empty Collection
  • Fix incorrect glyphs in Cairo backends
  • Improve build system to prevent conflicts between wheels and system libraries

REL: v3.11.1

This is the first bugfix release of the 3.11.x series.

This release contains several bug-fixes and adjustments:

  • Fix tight layout of multiple subplots with sharey=True
  • Fix NoNorm cursor formatting for uint8 images
  • Fix occasional misalignment in reported mouse position (also fix a bug with canvas height)
  • Fix clipped Axis labels on 3D plots with tight layout
  • Fix inverted Axis on 3D plots
  • Fix restoring 'auto' aspect in 3D axes after switching from 'equal'
  • Fix missing glyphs when subsetting Type 1 fonts in PDF
  • Fix oversized embedding of Type 42 fonts in PDF/PostScript files

As well as several documentation and typing improvements and corrections.

REL: v3.11.0

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. See the release notes for more information.

REL: v3.11.0rc2

This is the second release candidate for the meso release 3.11.0.

This release candidate fixes some problems with downstream packages, removes some missed deprecations, and corrects some additional minor bugs.

REL: v3.11.0rc1

After an extended development stretch, we are pleased to announce the first release candidate of Matplotlib 3.11.0.

The largest change within this release is a complete overhaul of text and font processing. Through the use of libraqm, HarfBuzz, SheenBidi, and an updated release of FreeType, all text should now support modern font features, enabling full internationalization in all languages. Not all features of these libraries are supported yet, but we expect this work to enable further improvements in an easier manner. Due to the update to the font rendering stack, we cannot guarantee that text will be bit-for-bit perfect with previous releases, so if you are using Matplotlib for testing, it may be necessary to introduce/raise a tolerance within your tests.

Outside of text handling, there are several improvements to 3D Axes, performance, new accessible colour sequences, flexible figure management, and more. Final release notes are still being curated, but you may browse the list of new features, API changes, and all issues/pull requests on the milestone.

... (truncated)

Commits
  • d3ca917 REL: v3.11.2
  • b76fea9 DOC: Set current version to 3.11.2
  • 39c7f06 DOC: Prepare GitHub stats for 3.11.2
  • 5dd13e3 Merge branch 'v3.11.1-doc' into release-3.11.2
  • aa484be Merge branch 'v3.11.0-doc' into v3.11.1-doc
  • 0e10f83 Merge pull request #32330 from meeseeksmachine/auto-backport-of-pr-32324-on-v...
  • ebe947b Backport PR #32324: Don't force any diagnostics to be errors in bundled Harfbuzz
  • 8f4b7c5 Merge pull request #32322 from meeseeksmachine/auto-backport-of-pr-32321-on-v...
  • 93278ad Backport PR #32321: DOC: correct note about PyOS_InputHook
  • b0aee78 Merge pull request #32319 from meeseeksmachine/auto-backport-of-pr-32305-on-v...
  • Additional commits viewable in compare view

Updates python-socketio from 5.11.4 to 5.17.0

Commits

Updates jupyterlab from 4.2.5 to 4.6.4

Release notes

Sourced from jupyterlab's releases.

v4.6.4

4.6.4

(Full Changelog)

Security fixes

Bugs fixed

Maintenance and upkeep improvements

@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Oct 1, 2026
@dependabot
dependabot Bot force-pushed the dependabot/pip/pip-1c9db40d29 branch from 0b418f3 to c224274 Compare October 3, 2026 12:35
@dependabot
build(pip): bump the pip group across 1 directory with 9 updates
5b6f285 
Bumps the pip group with 9 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [pydantic](https://github.com/pydantic/pydantic) | `2.11.4` | `2.14.0` |
| [pyvisa-py](https://github.com/pyvisa/pyvisa-py) | `0.4.1` | `0.8.1` |
| [numpy](https://github.com/numpy/numpy) | `2.1.2` | `2.4.6` |
| [scikit-image](https://github.com/scikit-image/scikit-image) | `0.25.2` | `0.26.0` |
| [matplotlib](https://github.com/matplotlib/matplotlib) | `3.9.2` | `3.11.2` |
| [python-socketio](https://github.com/sponsors/miguelgrinberg) | `5.11.4` | `5.17.0` |
| [jupyterlab](https://github.com/jupyterlab/jupyterlab) | `4.2.5` | `4.6.4` |
| [arkitekt](https://github.com/jhnnsrs/arkitekt) | `0.7.8` | `6.2.1` |
| [av](https://github.com/PyAV-Org/PyAV) | `13.1.0` | `18.1.0` |



Updates `pydantic` from 2.11.4 to 2.14.0
- [Release notes](https://github.com/pydantic/pydantic/releases)
- [Changelog](https://github.com/pydantic/pydantic/blob/main/HISTORY.md)
- [Commits](pydantic/pydantic@v2.11.4...v2.14.0)

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 2.4.6
- [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...v2.4.6)

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 3.11.2
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.9.2...v3.11.2)

Updates `python-socketio` from 5.11.4 to 5.17.0
- [Commits](https://github.com/sponsors/miguelgrinberg/commits)

Updates `jupyterlab` from 4.2.5 to 4.6.4
- [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@4.6.4)

Updates `arkitekt` from 0.7.8 to 6.2.1
- [Release notes](https://github.com/jhnnsrs/arkitekt/releases)
- [Commits](https://github.com/jhnnsrs/arkitekt/commits/v6.2.1)

Updates `av` from 13.1.0 to 18.1.0
- [Release notes](https://github.com/PyAV-Org/PyAV/releases)
- [Changelog](https://github.com/PyAV-Org/PyAV/blob/v18.1.0/CHANGELOG.rst)
- [Commits](PyAV-Org/PyAV@v13.1.0...v18.1.0)

---
updated-dependencies:
- dependency-name: arkitekt
  dependency-version: 3.2.0
  dependency-type: direct:development
  update-type: version-update:semver-major
  dependency-group: pip
- dependency-name: av
  dependency-version: 18.1.0
  dependency-type: direct:production
  update-type: version-update:semver-major
  dependency-group: pip
- dependency-name: jupyterlab
  dependency-version: 4.6.4
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: matplotlib
  dependency-version: 3.11.2
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: numpy
  dependency-version: 2.4.6
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: pydantic
  dependency-version: 2.13.5
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
- dependency-name: python-socketio
  dependency-version: 5.17.0
  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: scikit-image
  dependency-version: 0.26.0
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: pip
...

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dependabot Bot force-pushed the dependabot/pip/pip-1c9db40d29 branch from c224274 to 5b6f285 Compare October 11, 2026 18:04

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