HAhantusk·Jul 5, 2021
Does it not work with miniforge/mambaforge? (https://github.com/conda-forge/miniforge)
I use this with my m1 mac, and it works great.
In Python Best Practices for a New Project in 2021conda-forge
miniforge
Shell2020–2025
conda-forge / miniforge
miniforge
A conda-forge distribution.
11Distinct people
12Mentions
0Explicit recommenders
10.4KGitHub stars
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What it is
A conda-forge distribution.
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Where it is used
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Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 6:01:32 PM UTC.
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HN mentions by year12 dated mentions
Observed mentions: 2020-08-20 16:17:07 UTC to 2025-08-18 08:22:41 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 2 | 0 | 2 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 4 | 0 | 4 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 2 | 2 | 0 |
What Hacker News says
2 sourcesThis kind of matches the performance I recorded when numpy is linked to vecLib for large matrix matrix multiplication in float32:
https://gist.github.com/ogrisel/87dcf2c3ab8a304ededf75934b11...
Note however there is currently no way to build and link numpy and scipy against vecLib to get correct results when calling LAPACK routines (to get Singular Value Decomposition for instance). It might be related to low level fortran ABI problems but I am not an expert so I don't know for sure.
It's possible to get a fully working numpy / scipy stack with OpenBLAS and gfortran by using the conda-forge distribution:
https://github.com/conda-forge/miniforge#download
The performance is not as good as with vecLib (see the linked benchmark) but it's already very good (e.g. compared to a similarly priced Intel or AMD laptop with OpenBLAS and maybe even MK
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L).