# Wheels for Apple Silicon M1

**URL:** <https://numba.discourse.group/t/wheels-for-apple-silicon-m1/1282>\
**Category:** Announcements\
**Created:** [April 4, 2022, 9:51am UTC](https://numba.discourse.group/t/wheels-for-apple-silicon-m1/1282 "2022-04-04T09:51:00Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![esc](https://yyz2.discourse-cdn.com/free1/user_avatar/numba.discourse.group/esc/32/49_2.png) [@esc](https://numba.discourse.group/u/esc)\
**Post date:** [April 4, 2022, 9:51am UTC](https://numba.discourse.group/t/wheels-for-apple-silicon-m1/1282/1 "2022-04-04T09:51:00Z")

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Dear \*,

I have managed to create wheels for the new Apple M1 Silicon (`osx-arm64`) platform. They are now available via the `numba/label/wheels_experimental_m1` channel on [anaconda.org](http://anaconda.org):

[https://anaconda.org/numba/numba/files?channel=wheels\_experimental\_m1](https://anaconda.org/numba/numba/files?channel=wheels_experimental_m1)

The installation instructions are as follows, in an environment that supports `pip install`:

```auto
pip install "numpy==1.21.*" importlib-metadata # manually install dependencies
pip install -i https://pypi.anaconda.org/numba/label/wheels_experimental_m1/simple numba

```

The correct `llvmlite` should be found and installed automatically as part of the command to install Numba.

An explicit version for NumPy is required in this case because the wheels do not (yet) pin the NumPy version and anything beyond 1.21.\* isn’t/wasn’t yet supported.

If you do have capacity, please test the wheels with your library of application and report back any issues you discover here. Thank you!

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**Author:** ![psobolewskiPhD](https://yyz2.discourse-cdn.com/free1/user_avatar/numba.discourse.group/psobolewskiphd/32/576_2.png) [@psobolewskiPhD](https://numba.discourse.group/u/psobolewskiPhD)\
**Post date:** [April 5, 2022, 5:09pm UTC](https://numba.discourse.group/t/wheels-for-apple-silicon-m1/1282/2 "2022-04-05T17:09:01Z")

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Awesome news!  
I set up a arm64 miniforge3 env with Apple tensorflow following the tensorflow-metal plugin instructions (sorry can’t post links)  
Into this I installed numba as instructed above.  
A-Ok!  
Then I installed `stardist` via pip which has a numba requirement and previously meant having to pre-install via conda.  
This went off without a hitch.  
I was able to do the simple example from the StarDist readme with no issues, so looks like everything works!

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**Author:** ![esc](https://yyz2.discourse-cdn.com/free1/user_avatar/numba.discourse.group/esc/32/49_2.png) [@esc](https://numba.discourse.group/u/esc)\
**Post date:** [May 30, 2022, 9:42am UTC](https://numba.discourse.group/t/wheels-for-apple-silicon-m1/1282/3 "2022-05-30T09:42:48Z")

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Thank you everyone for helping to test these wheels. Since Numba 0.55.2 and llvmlite 0.38.1 are now available with wheels from PyPi, I will delete the experimental wheels from [anaconda.org](http://anaconda.org) to avoid any confusions in the future.