Merge remote-tracking branch 'origin/main' into poerty_problem

2023-06-23 08:46:51 +01:00
parent 1ce209198a 5ef9f081bd
commit 8f569c42ec
83 changed files with 1082 additions and 623 deletions
@@ -4,6 +4,43 @@ title: Changelog

 # Changelog

+### v2.13.1
+
+_10 June 2023_
+
+- 🛠 Updates the prerelease CPython 3.12 version to 3.12.0b2. (#1516)
+- 🛠 Adds a moving `v<major>.<minor>` tag for use in GitHub Actions workflow files. If you use this, you'll get the latest patch release within a minor version. Additionally, Dependabot won't send you PRs for patch releases. (#1517)
+
+### v2.13.0
+
+_28 May 2023_
+
+- ✨ Adds CPython 3.12 support, under the prerelease flag [CIBW_PRERELEASE_PYTHONS](https://cibuildwheel.readthedocs.io/en/stable/options/#prerelease-pythons). This version of cibuildwheel uses 3.12.0b1.
+
+    While CPython is in beta, the ABI can change, so your wheels might not be compatible with the final release. For this reason, we don't recommend distributing wheels until RC1, at which point 3.12 will be available in cibuildwheel without the flag. (#1507)
+
+- ✨ Adds the ability to pass arguments to the container engine when the container is created, using the [CIBW_CONTAINER_ENGINE](https://cibuildwheel.readthedocs.io/en/stable/options/#container-engine) option. (#1499)
+
+### v2.12.3
+
+_19 April 2023_
+
+- 🐛 Fix an import error when running on Python 3.7. (#1479)
+
+### v2.12.2
+
+_18 April 2023_
+
+- 🐛 Fix a bug that caused an extra empty config-setting to be passed to the backend when CIBW_BUILD_FRONTEND is set to `build`. (#1474)
+- 🐛 Fix a crash that occurred when overwriting an existing wheel on Windows. (#1464)
+- 🛠 Pinned version updates, including CPython 3.10.11, 3.11.3, pip 23.1 and wheel 0.40.0.
+
+### v2.12.1
+
+_11 March 2023_
+
+- 🐛 Fix a bug that prevented the use of CIBW_CONFIG_SETTINGS with the 'pip' build backend. (#1430)
+
 ### v2.12.0

 _16 Jan 2023_
@@ -431,11 +431,6 @@
  ci: [github]
  os: [apple, linux, windows]

- name: pydantic
-  gh: samuelcolvin/pydantic
-  ci: [github]
-  os: [apple, linux, windows]
-
 - name: vaex
  gh: vaexio/vaex
  ci: [github]
@@ -628,3 +623,10 @@
  os: [windows, apple, linux]
  pypi: picologging
  notes: A high-performance logging library for Python.
+
+- name: aalink
+  gh: artfwo/aalink
+  ci: [github]
+  os: [windows, apple, linux]
+  pypi: aalink
+  notes: Async Python interface for Ableton Link.
@@ -161,7 +161,7 @@ There are two suggested methods for keeping cibuildwheel up to date that instead
 If you use GitHub Actions for builds, you can use cibuildwheel as an action:

 ```yaml
-uses: pypa/cibuildwheel@v2.12.0
+uses: pypa/cibuildwheel@v2.13.1
 ```

 This is a composite step that just runs cibuildwheel using pipx. You can set command-line options as `with:` parameters, and use `env:` as normal.
@@ -183,7 +183,7 @@ The second option, and the only one that supports other CI systems, is using a `

 ```bash
 # requirements-cibw.txt
-cibuildwheel==2.12.0
+cibuildwheel==2.13.1
 ```

 Then your install step would have `python -m pip install -r requirements-cibw.txt` in it. Your `.github/dependabot.yml` file could look like this:
@@ -327,7 +327,7 @@ Solutions to this vary, but the simplest is to use pipx:
 # most runners have pipx preinstalled, but in case you don't
 python3 -m pip install pipx

-pipx run cibuildwheel==2.12.0 --output-dir wheelhouse
+pipx run cibuildwheel==2.13.1 --output-dir wheelhouse
 pipx run twine upload wheelhouse/*.whl
 ```

@@ -92,8 +92,8 @@ Options have the same names as the environment variable overrides, but are
 placed in `[tool.cibuildwheel]` and are lower case, with dashes, following
 common [TOML][] practice. Anything placed in subsections `linux`, `windows`,
 or `macos` will only affect those platforms. Lists can be used instead of
-strings for items that are natually a list. Multiline strings also work just
-like in in the environment variables. Environment variables will take
+strings for items that are naturally a list. Multiline strings also work just
+like in the environment variables. Environment variables will take
 precedence if defined.

 The example above using environment variables could have been written like this:
@@ -226,6 +226,7 @@ When setting the options, you can use shell-style globbing syntax, as per [fnmat
 | Python 3.9   | cp39-macosx_x86_64<br/>cp39-macosx_universal2<br/>cp39-macosx_arm64    | cp39-win_amd64<br/>cp39-win32<br/>cp39-win_arm64    | cp39-manylinux_x86_64<br/>cp39-manylinux_i686<br/>cp39-musllinux_x86_64<br/>cp39-musllinux_i686     | cp39-manylinux_aarch64<br/>cp39-manylinux_ppc64le<br/>cp39-manylinux_s390x<br/>cp39-musllinux_aarch64<br/>cp39-musllinux_ppc64le<br/>cp39-musllinux_s390x       |
 | Python 3.10  | cp310-macosx_x86_64<br/>cp310-macosx_universal2<br/>cp310-macosx_arm64 | cp310-win_amd64<br/>cp310-win32<br/>cp310-win_arm64 | cp310-manylinux_x86_64<br/>cp310-manylinux_i686<br/>cp310-musllinux_x86_64<br/>cp310-musllinux_i686 | cp310-manylinux_aarch64<br/>cp310-manylinux_ppc64le<br/>cp310-manylinux_s390x<br/>cp310-musllinux_aarch64<br/>cp310-musllinux_ppc64le<br/>cp310-musllinux_s390x |
 | Python 3.11  | cp311-macosx_x86_64<br/>cp311-macosx_universal2<br/>cp311-macosx_arm64 | cp311-win_amd64<br/>cp311-win32<br/>cp311-win_arm64 | cp311-manylinux_x86_64<br/>cp311-manylinux_i686<br/>cp311-musllinux_x86_64<br/>cp311-musllinux_i686 | cp311-manylinux_aarch64<br/>cp311-manylinux_ppc64le<br/>cp311-manylinux_s390x<br/>cp311-musllinux_aarch64<br/>cp311-musllinux_ppc64le<br/>cp311-musllinux_s390x |
+| Python 3.12  | cp312-macosx_x86_64<br/>cp312-macosx_universal2<br/>cp312-macosx_arm64 | cp312-win_amd64<br/>cp312-win32<br/>cp312-win_arm64 | cp312-manylinux_x86_64<br/>cp312-manylinux_i686<br/>cp312-musllinux_x86_64<br/>cp312-musllinux_i686 | cp312-manylinux_aarch64<br/>cp312-manylinux_ppc64le<br/>cp312-manylinux_s390x<br/>cp312-musllinux_aarch64<br/>cp312-musllinux_ppc64le<br/>cp312-musllinux_s390x |
 | PyPy3.7 v7.3 | pp37-macosx_x86_64                                                     | pp37-win_amd64                                      | pp37-manylinux_x86_64<br/>pp37-manylinux_i686                                                       | pp37-manylinux_aarch64                                                                                                                                          |
 | PyPy3.8 v7.3 | pp38-macosx_x86_64<br/>pp38-macosx_arm64                               | pp38-win_amd64                                      | pp38-manylinux_x86_64<br/>pp38-manylinux_i686                                                       | pp38-manylinux_aarch64                                                                                                                                          |
 | PyPy3.9 v7.3 | pp39-macosx_x86_64<br/>pp39-macosx_arm64                               | pp39-win_amd64                                      | pp39-manylinux_x86_64<br/>pp39-manylinux_i686                                                       | pp39-manylinux_aarch64                                                                                                                                          |
@@ -237,7 +238,7 @@ For CPython, the minimally supported macOS version is 10.9; for PyPy 3.7, macOS

 Windows arm64 platform support is experimental.

-See the [cibuildwheel 1 documentation](https://cibuildwheel.readthedocs.io/en/1.x/) for past end of life versions of Python, and PyPy2.7.
+See the [cibuildwheel 1 documentation](https://cibuildwheel.readthedocs.io/en/1.x/) for past end-of-life versions of Python, and PyPy2.7.

 #### Examples

@@ -314,7 +315,7 @@ See the [cibuildwheel 1 documentation](https://cibuildwheel.readthedocs.io/en/1.

    It is generally recommended to set `CIBW_BUILD` as an environment variable, though `skip`
    tends to be useful in a config file; you can statically declare that you don't
-    support pypy, for example.
+    support PyPy, for example.

 <style>
  .build-id-table-marker + table {
@@ -549,7 +550,7 @@ a table of items, including arrays.
    single values.

 Platform-specific environment variables also available:<br/>
-`CIBW_BEFORE_ALL_MACOS` | `CIBW_BEFORE_ALL_WINDOWS` | `CIBW_BEFORE_ALL_LINUX`
+`CIBW_CONFIG_SETTINGS_MACOS` | `CIBW_CONFIG_SETTINGS_WINDOWS` | `CIBW_CONFIG_SETTINGS_LINUX`


 #### Examples
@@ -658,7 +659,7 @@ Platform-specific environment variables are also available:<br/>
 ### `CIBW_ENVIRONMENT_PASS_LINUX` {: #environment-pass}
 > Set environment variables on the host to pass-through to the container during the build.

-A list of environment variables to pass into the linux container during the build. It has no affect on the other platforms, which can already access all environment variables directly.
+A list of environment variables to pass into the linux container during the build. It has no effect on the other platforms, which can already access all environment variables directly.

 To specify more than one environment variable, separate the variable names by spaces.

@@ -1048,9 +1049,12 @@ Auditwheel detects the version of the manylinux / musllinux standard in the imag


 ### `CIBW_CONTAINER_ENGINE` {: #container-engine}
-> Specify which container engine to use when building Linux wheels
+> Specify the container engine to use when building Linux wheels

-Options: `docker` `podman`
+Options:
+
+- `docker[;create_args: ...]`
+- `podman[;create_args: ...]`

 Default: `docker`

@@ -1059,6 +1063,12 @@ Set the container engine to use. Docker is the default, or you can switch to
 running and `docker` available on PATH. To use Podman, it needs to be
 installed and `podman` available on PATH.

+Arguments can be supplied to the container engine. Currently, the only option
+that's customisable is 'create_args'. Parameters to create_args are
+space-separated strings, which are passed to the container engine on the
+command line when it's creating the container. If you want to include spaces
+inside a parameter, use shell-style quoting.
+
 !!! tip

    While most users will stick with Docker, Podman is available in different
@@ -1073,14 +1083,22 @@ installed and `podman` available on PATH.
 !!! tab examples "Environment variables"

    ```yaml
+    # use podman instead of docker
    CIBW_CONTAINER_ENGINE: podman
+
+    # pass command line options to 'docker create'
+    CIBW_CONTAINER_ENGINE: "docker; create_args: --gpus all"
    ```

 !!! tab examples "pyproject.toml"

    ```toml
    [tool.cibuildwheel]
+    # use podman instead of docker
    container-engine = "podman"
+
+    # pass command line options to 'docker create'
+    container-engine = { name = "docker", create-args = ["--gpus", "all"]}
    ```


@@ -1214,6 +1232,13 @@ Platform-specific environment variables are also available:<br/>

    In configuration files, you can use an array, and the items will be joined with `&&`.

+!!! note
+
+    It isn't recommended to `cd` to your project directory before running tests,
+    because Python might resolve `import yourpackage` relative to the working dir,
+    and we want to test the wheel you just built. However, if you're sure that's not
+    an issue for you and your workflow requires it, on Windows you should do `cd /d`,
+    because the CWD and project dir might be on different drives.

 ### `CIBW_BEFORE_TEST` {: #before-test}
 > Execute a shell command before testing each wheel
@@ -1386,7 +1411,7 @@ This option is not supported in the overrides section in `pyproject.toml`.
 ### `CIBW_BUILD_VERBOSITY` {: #build-verbosity}
 > Increase/decrease the output of pip wheel

-An number from 1 to 3 to increase the level of verbosity (corresponding to invoking pip with `-v`, `-vv`, and `-vvv`), between -1 and -3 (`-q`, `-qq`, and `-qqq`), or just 0 (default verbosity). These flags are useful while debugging a build when the output of the actual build invoked by `pip wheel` is required.
+A number from 1 to 3 to increase the level of verbosity (corresponding to invoking pip with `-v`, `-vv`, and `-vvv`), between -1 and -3 (`-q`, `-qq`, and `-qqq`), or just 0 (default verbosity). These flags are useful while debugging a build when the output of the actual build invoked by `pip wheel` is required. Has no effect on the `build` backend, which produces verbose output by default.

 Platform-specific environment variables are also available:<br/>
 `CIBW_BUILD_VERBOSITY_MACOS` | `CIBW_BUILD_VERBOSITY_WINDOWS` | `CIBW_BUILD_VERBOSITY_LINUX`
@@ -184,7 +184,7 @@ To build Linux, Mac, and Windows wheels using GitHub Actions, create a `.github/
          - uses: actions/checkout@v3

          - name: Build wheels
-            run: pipx run cibuildwheel==2.12.0
+            run: pipx run cibuildwheel==2.13.1

          - uses: actions/upload-artifact@v3
            with:
@@ -219,7 +219,7 @@ To build Linux, Mac, and Windows wheels using GitHub Actions, create a `.github/
          - uses: actions/setup-python@v3

          - name: Install cibuildwheel
-            run: python -m pip install cibuildwheel==2.12.0
+            run: python -m pip install cibuildwheel==2.13.1

          - name: Build wheels
            run: python -m cibuildwheel --output-dir wheelhouse
@@ -9,27 +9,26 @@ title: Working examples
 | Name                              | CI | OS | Notes |
 |-----------------------------------|----|----|:------|
 | [scikit-learn][]                  | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The machine learning library. A complex but clean config using many of cibuildwheel's features to build a large project with Cython and C++ extensions.  |
+| [pytorch-fairseq][]               | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
 | [NumPy][]                         | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The fundamental package for scientific computing with Python. |
 | [Tornado][]                       | ![travisci icon][] | ![apple icon][] ![linux icon][] | Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. |
-| [pytorch-fairseq][]               | ![github icon][] | ![apple icon][] ![linux icon][] | Facebook AI Research Sequence-to-Sequence Toolkit written in Python. |
 | [Matplotlib][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The venerable Matplotlib, a Python library with C++ portions |
 | [NCNN][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | ncnn is a high-performance neural network inference framework optimized for the mobile platform |
-| [Kivy][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
 | [Prophet][]                       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. |
+| [Kivy][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS |
 | [MyPy][]                          | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | The compiled version of MyPy using MyPyC. |
-| [pydantic][]                      | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Data parsing and validation using Python type hints |
 | [MemRay][]                        | ![github icon][] | ![linux icon][] | Memray is a memory profiler for Python |
+| [duckdb][]                        | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an in-process SQL OLAP Database Management System |
 | [uvloop][]                        | ![github icon][] | ![apple icon][] ![linux icon][] | Ultra fast asyncio event loop. |
 | [psutil][]                        | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Cross-platform lib for process and system monitoring in Python |
-| [duckdb][]                        | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | DuckDB is an in-process SQL OLAP Database Management System |
 | [vaex][]                          | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀 |
 | [Google Benchmark][]              | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A microbenchmark support library |
+| [Triton][]                        | ![github icon][] | ![linux icon][] | Self hosted runners |
 | [Apache Beam][]                   | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Apache Beam is a unified programming model for Batch and Streaming data processing. |
-| [asyncpg][]                       | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A fast PostgreSQL Database Client Library for Python/asyncio. |
 | [PyGame][]                        | ![github icon][] | ![apple icon][] ![linux icon][] | 🐍🎮 pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL. |
+| [asyncpg][]                       | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A fast PostgreSQL Database Client Library for Python/asyncio. |
 | [cmake][]                         | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
 | [scikit-image][]                  | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Image processing library. Uses cibuildwheel to build and test a project that uses Cython with platform-native code.  |
-| [Triton][]                        | ![github icon][] | ![linux icon][] | Self hosted runners |
 | [twisted-iocpsupport][]           | ![github icon][] | ![windows icon][] | A submodule of Twisted that hooks into native C APIs using Cython. |
 | [PyOxidizer][]                    | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A modern Python application packaging and distribution tool |
 | [websockets][]                    | ![travisci icon][] | ![apple icon][] ![linux icon][] | Library for building WebSocket servers and clients. Mostly written in Python, with a small C 'speedups' extension module.  |
@@ -37,30 +36,31 @@ title: Working examples
 | [River][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | 🌊 Online machine learning in Python |
 | [UltraJSON][]                     | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Ultra fast JSON decoder and encoder written in C with Python bindings |
 | [OpenSpiel][]                     | ![github icon][] | ![apple icon][] ![linux icon][] | OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. |
-| [pyzmq][]                         | ![github icon][] ![circleci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python bindings for zeromq, the networking library. Uses Cython on CPython and CFFI on PyPy. ARM wheels for linux are built natively on CircleCI.  |
 | [aiortc][]                        | ![github icon][] | ![apple icon][] ![linux icon][] | WebRTC and ORTC implementation for Python using asyncio. |
+| [pyzmq][]                         | ![github icon][] ![circleci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python bindings for zeromq, the networking library. Uses Cython on CPython and CFFI on PyPy. ARM wheels for linux are built natively on CircleCI.  |
 | [Confluent client for Kafka][]    | ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | setup in `tools/wheels/build-wheels.bat` |
 | [Implicit][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes GPU support for linux wheels |
 | [vispy][]                         | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Main repository for Vispy |
-| [tinyobjloader][]                 | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader |
 | [Dependency Injector][]           | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Dependency injection framework for Python, uses Windows TravisCI |
+| [tinyobjloader][]                 | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Tiny but powerful single file wavefront obj loader |
 | [coverage.py][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The coverage tool for Python |
 | [PyCryptodome][]                  | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A self-contained cryptographic library for Python |
 | [PyYAML][]                        | ![github icon][] | ![apple icon][] | Canonical source repository for PyYAML |
 | [numexpr][]                       | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast numerical array expression evaluator for Python, NumPy, PyTables, pandas, bcolz and more |
-| [h5py][]                          | ![azurepipelines icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format. |
-| [Wrapt][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python module for decorators, wrappers and monkey patching. |
 | [PyAV][]                          | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Pythonic bindings for FFmpeg's libraries. |
-| [pikepdf][]                       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by qpdf |
+| [h5py][]                          | ![azurepipelines icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format. |
 | [Line Profiler][]                 | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Line-by-line profiling for Python |
-| [SimpleJSON][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | simplejson is a simple, fast, extensible JSON encoder/decoder for Python  |
+| [Wrapt][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python module for decorators, wrappers and monkey patching. |
+| [pikepdf][]                       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python library for reading and writing PDF, powered by qpdf |
 | [envd][]                          | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | 🏕️ Reproducible development environment for AI/ML |
+| [SimpleJSON][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | simplejson is a simple, fast, extensible JSON encoder/decoder for Python  |
 | [OpenColorIO][]                   | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | A color management framework for visual effects and animation. |
 | [aioquic][]                       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | QUIC and HTTP/3 implementation in Python |
-| [PyTables][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
-| [OpenTimelineIO][]                | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. |
 | [ruptures][]                      | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Extensive Cython + NumPy [pyproject.toml](https://github.com/deepcharles/ruptures/blob/master/pyproject.toml) example. |
+| [OpenTimelineIO][]                | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Open Source API and interchange format for editorial timeline information. |
+| [PyTables][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python package to manage extremely large amounts of data |
 | [Psycopg 3][]                     | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A modern implementation of a PostgreSQL adapter for Python |
+| [CTranslate2][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes libraries from the [Intel oneAPI toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) and CUDA kernels compiled for multiple GPU architectures. |
 | [Parselmouth][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python interface to the Praat software package, using pybind11, C++17 and CMake, with the core Praat static library built only once and shared between wheels. |
 | [DeepForest][]                    | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1) |
 | [google neuroglancer][]           | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | WebGL-based viewer for volumetric data |
@@ -70,14 +70,14 @@ title: Working examples
 | [markupsafe][]                    | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Safely add untrusted strings to HTML/XML markup. |
 | [Picologging][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A high-performance logging library for Python. |
 | [pybind11 cmake_example][]        | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a CMake-based build system |
+| [mosec][]                         | ![github icon][] | ![linux icon][] ![apple icon][] | A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine |
+| [KDEpy][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Kernel Density Estimation in Python |
 | [python-rapidjson][]              | ![travisci icon][] ![gitlab icon][] ![appveyor icon][] | ![windows icon][] ![linux icon][] | Python wrapper around rapidjson |
 | [python-snappy][]                 | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Python bindings for the snappy google library |
-| [KDEpy][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Kernel Density Estimation in Python |
-| [CTranslate2][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes libraries from the [Intel oneAPI toolkit](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html) and CUDA kernels compiled for multiple GPU architectures. |
-| [tgcalls][]                       | ![github icon][] | ![apple icon][] ![windows icon][] | Python `pybind11` binding to Telegram's WebRTC library with third party dependencies like `OpenSSL`, `MozJPEG`, `FFmpeg`, etc. |
 | [time-machine][]                  | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Time mocking library using only the CPython C API. |
-| [pybind11 python_example][]       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a Python-based build system |
+| [tgcalls][]                       | ![github icon][] | ![apple icon][] ![windows icon][] | Python `pybind11` binding to Telegram's WebRTC library with third party dependencies like `OpenSSL`, `MozJPEG`, `FFmpeg`, etc. |
 | [dd-trace-py][]                   | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Uses custom alternate arch emulation on GitHub |
+| [pybind11 python_example][]       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Example pybind11 module built with a Python-based build system |
 | [sourmash][]                      | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Quickly search, compare, and analyze genomic and metagenomic data sets. |
 | [cyvcf2][]                        | ![github icon][] | ![apple icon][] ![linux icon][] | cython + htslib == fast VCF and BCF processing |
 | [matrixprofile][]                 | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone. |
@@ -85,57 +85,56 @@ title: Working examples
 | [jq.py][]                         | ![travisci icon][] | ![apple icon][] ![linux icon][] | Python bindings for jq |
 | [iminuit][]                       | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Jupyter-friendly Python interface for C++ MINUIT2 |
 | [Tokenizer][]                     | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast and customizable text tokenization library with BPE and SentencePiece support |
-| [mosec][]                         | ![github icon][] | ![linux icon][] ![apple icon][] | A high-performance serving framework for ML models, offers dynamic batching and multi-stage pipeline to fully exploit your compute machine |
 | [PyGLM][]                         | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Fast OpenGL Mathematics (GLM) for Python |
 | [TgCrypto][]                      | ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Includes a Windows Travis build. |
 | [bx-python][]                     | ![travisci icon][] | ![apple icon][] ![linux icon][] | A library that includes Cython extensions. |
 | [boost-histogram][]               | ![github icon][] ![travisci icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Supports full range of wheels, including PyPy and alternate archs. |
 | [iDynTree][]                      | ![github icon][] | ![linux icon][] | Uses manylinux_2_24 |
 | [Python-WebRTC][]                 | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | a Python extension that provides bindings to WebRTC M92 |
+| [pillow-heif][]                   | ![github icon][] ![cirrusci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Bindings to libheif library with third party dependencies. Fully automated CI for tests and publishing including Apple Silicon builds. |
 | [pybase64][]                      | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Fast Base64 encoding/decoding in Python |
 | [Arbor][]                         | ![github icon][] | ![apple icon][] ![linux icon][] | Arbor is a multi-compartment neuron simulation library; compatible with next-generation accelerators; best-practices applied to research software; focused on community-driven development. Includes a [small script](https://github.com/arbor-sim/arbor/blob/master/scripts/patchwheel.py) patching `rpath` in bundled libraries.  |
 | [fathon][]                        | ![travisci icon][] | ![apple icon][] ![linux icon][] | python package for DFA (Detrended Fluctuation Analysis) and related algorithms |
-| [pillow-heif][]                   | ![github icon][] ![cirrusci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Bindings to libheif library with third party dependencies. Fully automated CI for tests and publishing including Apple Silicon builds. |
+| [power-grid-model][]              | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
 | [Imagecodecs (fork)][]            | ![azurepipelines icon][] | ![apple icon][] ![linux icon][] | Over 20 external dependencies in compiled libraries, custom docker image, `libomp`, `openblas` and `install_name_tool` for macOS. |
 | [polaroid][]                      | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Full range of wheels for setuptools rust, with auto release and PyPI deploy. |
 | [etebase-py][]                    | ![travisci icon][] | ![linux icon][] | Python bindings to a Rust library using `setuptools-rust`, and `sccache` for improved speed. |
-| [power-grid-model][]              | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python/C++ library for distribution power system analysis |
 | [cf-units][]                      | ![github icon][] | ![apple icon][] ![linux icon][] | Units of measure as required by the Climate and Forecast (CF) Metadata Conventions |
-| [clang-format][]                  | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
 | [pybind11 scikit_build_example][] | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | An example combining scikit-build and pybind11 |
+| [clang-format][]                  | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Scikit-build wrapper around LLVM's CMake, all platforms, generic wheels. |
 | [numpythia][]                     | ![github icon][] | ![apple icon][] ![linux icon][] | The interface between PYTHIA and NumPy |
-| [pyjet][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy |
 | [ninja][]                         | ![github icon][] ![travisci icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Multitagged binary builds for all supported platforms, using cibw 2 config configuration. |
+| [pyjet][]                         | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | The interface between FastJet and NumPy |
 | [GSD][]                           | ![github icon][] | ![apple icon][] ![linux icon][] ![windows icon][] | Cython and NumPy project with 64-bit wheels. |
 | [ril][]                           | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A python binding to Rust Imaging library using maturin and Pyo3, utilizes Github Action cache to improve speed. Builds abi3 wheels. |
 | [SiPM][]                          | ![github icon][] | ![apple icon][] ![linux icon][] | High performance library for SiPM detectors simulation using C++17, OpenMP and AVX2 intrinsics. |
 | [CorrectionLib][]                 | ![github icon][] | ![apple icon][] ![linux icon][] | Structured JSON powered correction library for HEP, designed for the CMS experiment at CERN. |
 | [pyinstrument_cext][]             | ![travisci icon][] ![appveyor icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | A simple C extension, without external dependencies |
 | [xmlstarlet][]                    | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Python 3.6+ CFFI bindings with true MSVC build. |
+| [aalink][]                        | ![github icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Async Python interface for Ableton Link. |
 | [pybind11 cross build example][]  | ![github icon][] ![gitlab icon][] | ![windows icon][] ![apple icon][] ![linux icon][] | Same as pybind11 cmake_example but used to demo Linux ARM + Windows + macOS builds on GitLab |

 [scikit-learn]: https://github.com/scikit-learn/scikit-learn
+[pytorch-fairseq]: https://github.com/pytorch/fairseq
 [NumPy]: https://github.com/numpy/numpy
 [Tornado]: https://github.com/tornadoweb/tornado
-[pytorch-fairseq]: https://github.com/pytorch/fairseq
 [Matplotlib]: https://github.com/matplotlib/matplotlib
 [NCNN]: https://github.com/Tencent/ncnn
-[Kivy]: https://github.com/kivy/kivy
 [Prophet]: https://github.com/facebook/prophet
+[Kivy]: https://github.com/kivy/kivy
 [MyPy]: https://github.com/mypyc/mypy_mypyc-wheels
-[pydantic]: https://github.com/samuelcolvin/pydantic
 [MemRay]: https://github.com/bloomberg/memray
+[duckdb]: https://github.com/duckdb/duckdb
 [uvloop]: https://github.com/MagicStack/uvloop
 [psutil]: https://github.com/giampaolo/psutil
-[duckdb]: https://github.com/duckdb/duckdb
 [vaex]: https://github.com/vaexio/vaex
 [Google Benchmark]: https://github.com/google/benchmark
+[Triton]: https://github.com/openai/triton
 [Apache Beam]: https://github.com/apache/beam
-[asyncpg]: https://github.com/MagicStack/asyncpg
 [PyGame]: https://github.com/pygame/pygame
+[asyncpg]: https://github.com/MagicStack/asyncpg
 [cmake]: https://github.com/scikit-build/cmake-python-distributions
 [scikit-image]: https://github.com/scikit-image/scikit-image
-[Triton]: https://github.com/openai/triton
 [twisted-iocpsupport]: https://github.com/twisted/twisted-iocpsupport
 [PyOxidizer]: https://github.com/indygreg/PyOxidizer
 [websockets]: https://github.com/aaugustin/websockets
@@ -143,30 +142,31 @@ title: Working examples
 [River]: https://github.com/online-ml/river
 [UltraJSON]: https://github.com/ultrajson/ultrajson
 [OpenSpiel]: https://github.com/deepmind/open_spiel
-[pyzmq]: https://github.com/zeromq/pyzmq
 [aiortc]: https://github.com/aiortc/aiortc
+[pyzmq]: https://github.com/zeromq/pyzmq
 [Confluent client for Kafka]: https://github.com/confluentinc/confluent-kafka-python
 [Implicit]: https://github.com/benfred/implicit
 [vispy]: https://github.com/vispy/vispy
-[tinyobjloader]: https://github.com/tinyobjloader/tinyobjloader
 [Dependency Injector]: https://github.com/ets-labs/python-dependency-injector
+[tinyobjloader]: https://github.com/tinyobjloader/tinyobjloader
 [coverage.py]: https://github.com/nedbat/coveragepy
 [PyCryptodome]: https://github.com/Legrandin/pycryptodome
 [PyYAML]: https://github.com/yaml/pyyaml
 [numexpr]: https://github.com/pydata/numexpr
-[h5py]: https://github.com/h5py/h5py
-[Wrapt]: https://github.com/GrahamDumpleton/wrapt
 [PyAV]: https://github.com/PyAV-Org/PyAV
-[pikepdf]: https://github.com/pikepdf/pikepdf
+[h5py]: https://github.com/h5py/h5py
 [Line Profiler]: https://github.com/pyutils/line_profiler
-[SimpleJSON]: https://github.com/simplejson/simplejson
+[Wrapt]: https://github.com/GrahamDumpleton/wrapt
+[pikepdf]: https://github.com/pikepdf/pikepdf
 [envd]: https://github.com/tensorchord/envd
+[SimpleJSON]: https://github.com/simplejson/simplejson
 [OpenColorIO]: https://github.com/AcademySoftwareFoundation/OpenColorIO
 [aioquic]: https://github.com/aiortc/aioquic
-[PyTables]: https://github.com/PyTables/PyTables
-[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO
 [ruptures]: https://github.com/deepcharles/ruptures
+[OpenTimelineIO]: https://github.com/PixarAnimationStudios/OpenTimelineIO
+[PyTables]: https://github.com/PyTables/PyTables
 [Psycopg 3]: https://github.com/psycopg/psycopg
+[CTranslate2]: https://github.com/OpenNMT/CTranslate2
 [Parselmouth]: https://github.com/YannickJadoul/Parselmouth
 [DeepForest]: https://github.com/LAMDA-NJU/Deep-Forest
 [google neuroglancer]: https://github.com/google/neuroglancer
@@ -176,14 +176,14 @@ title: Working examples
 [markupsafe]: https://github.com/pallets/markupsafe
 [Picologging]: https://github.com/microsoft/picologging
 [pybind11 cmake_example]: https://github.com/pybind/cmake_example
+[mosec]: https://github.com/mosecorg/mosec
+[KDEpy]: https://github.com/tommyod/KDEpy
 [python-rapidjson]: https://github.com/python-rapidjson/python-rapidjson
 [python-snappy]: https://github.com/andrix/python-snappy
-[KDEpy]: https://github.com/tommyod/KDEpy
-[CTranslate2]: https://github.com/OpenNMT/CTranslate2
-[tgcalls]: https://github.com/MarshalX/tgcalls
 [time-machine]: https://github.com/adamchainz/time-machine
-[pybind11 python_example]: https://github.com/pybind/python_example
+[tgcalls]: https://github.com/MarshalX/tgcalls
 [dd-trace-py]: https://github.com/DataDog/dd-trace-py
+[pybind11 python_example]: https://github.com/pybind/python_example
 [sourmash]: https://github.com/dib-lab/sourmash
 [cyvcf2]: https://github.com/brentp/cyvcf2
 [matrixprofile]: https://github.com/matrix-profile-foundation/matrixprofile
@@ -191,33 +191,33 @@ title: Working examples
 [jq.py]: https://github.com/mwilliamson/jq.py
 [iminuit]: https://github.com/scikit-hep/iminuit
 [Tokenizer]: https://github.com/OpenNMT/Tokenizer
-[mosec]: https://github.com/mosecorg/mosec
 [PyGLM]: https://github.com/Zuzu-Typ/PyGLM
 [TgCrypto]: https://github.com/pyrogram/tgcrypto
 [bx-python]: https://github.com/bxlab/bx-python
 [boost-histogram]: https://github.com/scikit-hep/boost-histogram
 [iDynTree]: https://github.com/robotology/idyntree
 [Python-WebRTC]: https://github.com/MarshalX/python-webrtc
+[pillow-heif]: https://github.com/bigcat88/pillow_heif
 [pybase64]: https://github.com/mayeut/pybase64
 [Arbor]: https://github.com/arbor-sim/arbor
 [fathon]: https://github.com/stfbnc/fathon
-[pillow-heif]: https://github.com/bigcat88/pillow_heif
+[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
 [Imagecodecs (fork)]: https://github.com/czaki/imagecodecs_build
 [polaroid]: https://github.com/daggy1234/polaroid
 [etebase-py]: https://github.com/etesync/etebase-py
-[power-grid-model]: https://github.com/alliander-opensource/power-grid-model
 [cf-units]: https://github.com/SciTools/cf-units
-[clang-format]: https://github.com/ssciwr/clang-format-wheel
 [pybind11 scikit_build_example]: https://github.com/pybind/scikit_build_example
+[clang-format]: https://github.com/ssciwr/clang-format-wheel
 [numpythia]: https://github.com/scikit-hep/numpythia
-[pyjet]: https://github.com/scikit-hep/pyjet
 [ninja]: https://github.com/scikit-build/ninja-python-distributions
+[pyjet]: https://github.com/scikit-hep/pyjet
 [GSD]: https://github.com/glotzerlab/gsd
 [ril]: https://github.com/Cryptex-github/ril-py
 [SiPM]: https://github.com/EdoPro98/SimSiPM
 [CorrectionLib]: https://github.com/cms-nanoAOD/correctionlib
 [pyinstrument_cext]: https://github.com/joerick/pyinstrument_cext
 [xmlstarlet]: https://github.com/dimitern/xmlstarlet
+[aalink]: https://github.com/artfwo/aalink
 [pybind11 cross build example]: https://github.com/wbarnha/pybind_cmake_example_crossbuild

 [appveyor icon]: data/readme_icons/appveyor.svg