SciSharp / NumSharp
High Performance Computation for N-D Tensors in .NET, identical API to NumPy.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- NumPy-style NDArray. N-dimensional arrays with shape, strides, offsets,
- Broadcasting. NumPy-style shape expansion without materializing repeated
- Dtype-aware operations. 15 core dtypes with NumPy-oriented promotion and
- Strings and character arrays. NumPy's fixed-width S / U and variable-width
- Broad np.* API surface. Creation, manipulation, math, reductions,
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 4 days ago
- Stars
- 1,483
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.80.0
- Released 4 days ago
- Built with
- C#
- 90% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 95% closed
- 22 still open
- Pull requests
- 204 merged
- 0 waiting
- Releases
- 9
- 6 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics and project record
Languages
- C# 90%
- Python 8%
- HTML 1%
- Shell <1%
Topics
- numpy
- machine-learning
- numsharp
- pandas
- ai
Project record
- JobOther AI tools
- StatusListed
- Commits4,996
- Forks206
- Watching68
- Stars in 28 days+2
- CreatedOct 10, 2018
- First seen by usNov 7, 2026
- CheckedNov 9, 2026