Numba
Numba is an open-source JIT compiler that translates a subset of Python and NumPy into fast machine code using LLVM, via the llvmlite Python package. It offers a range of options for parallelising Python code for CPUs and GPUs, often with only minor code changes.
Numba logo | |
| Original author(s) | Continuum Analytics |
|---|---|
| Developer(s) | Community project |
| Initial release | 15 August 2012 |
| Stable release | 0.57.1
/ 27 June 2023 |
| Preview release | 0.57.0rc1
/ 5 April 2023 |
| Repository | |
| Written in | Python, C |
| Operating system | Cross-platform |
| Type | Technical computing |
| License | BSD 2-clause |
| Website | numba |
Numba was started by Travis Oliphant in 2012 and has since been under active development at its repository in GitHub with frequent releases. The project is driven by developers at Anaconda, Inc., with support by DARPA, the Gordon and Betty Moore Foundation, Intel, Nvidia and AMD, and a community of contributors on GitHub.
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