Current situation of library support for M1

• PyQtGraph

  25 3,667 9.1 Python

  Fast data visualization and GUI tools for scientific / engineering applications

  

Most of the issues are with GPU support. Some libraries still struggle with it AFAIU but I don't use GPU much. M1 native is mostly good everywhere, except Pyqt + Qt 5 (Qt6 is native, but some libraries don't support it yet), But for those you can just start a bash shell under intel emulation and all is fine. Performances do take a hit take hit, but are still better in M1+emulation intel than native on my old mac.

• api-reflector

  1 4 6.3 Python

  Configurable API mocking service

  

Glad to help, we’re slowly open sourcing more stuff. But here is an example project written on both architectures and deployed to AKS. https://github.com/binkhq/api-reflector

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• pypi-data

  1 112 3.2 Python

  Data about packages and maintainers on PyPI

Some stats from my dataset on PyPI packages:

• miniforge

  56 5,243 7.7 Shell

  A conda-forge distribution.

  

I use the M1 version of miniforge (https://github.com/conda-forge/miniforge) and I'm able to create osx-64 python envs. I just explicitly set the right channel when installing a package, for example : conda install -c conda-forge/osx-64 python=3.9

Suggest a related project