Frikallo / axiom
High-performance C++ tensor library with NumPy/PyTorch-like API
Why this job: works in the areas we cover, but does not say which job it does

What it does
Axiom is designed for researchers and engineers who need NumPy-level ergonomics with native performance. Learn more in the documentation, or see the Usage Guide for a comprehensive API showcase.
Get started
git clone https://github.com/frikallo/axiom.git
cd axiom && make release - Maintenance
- Active
- Last commit 5 months ago
- Stars
- 117
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.5.0
- Released 8 months ago
- Built with
- C++
- 83% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 57% closed
- 3 still open
- Pull requests
- 17 merged
- 2 waiting
- Releases
- 6
- 6 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- C++ 83%
- Objective-C++ 10%
- Python 4%
- CMake 2%
Topics
- apple-silicon
- blas
- cpp
- cpp20
- cross-platform
- deep-learning
- einops
- gpu
- hpc
- linear-algebra
- machine-learning
- metal
Project record
- JobOther AI tools
- StatusListed
- Commits220
- Forks3
- Watching3
- Stars in 28 days+2
- CreatedJun 1, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026
