derivkit
DerivKit is a robust Python toolkit for stable numerical derivatives, built for scientific computing, cosmology, and any domain requiring accurate gradients or higher-order expansions.
Detailed documentation, examples, and API reference can be found at the derivkit documentation.
Citation
If you use DerivKit in your research, please cite the associated paper:
@misc{sarcevic2026derivkitstablenumericalderivatives,
title = {DerivKit: stable numerical derivatives bridging Fisher forecasts and MCMC},
author = {Šarčević, Nikolina and van der Wild, Matthijs and Trendafilova, Cynthia},
year = {2026},
eprint = {2602.08078},
archivePrefix= {arXiv},
primaryClass = {astro-ph.IM},
url = {https://arxiv.org/abs/2602.08078}
}
License
MIT License © 2025 Niko Šarčević, Matthijs van der Wild, Cynthia Trendafilova and contributors.
1 maintainer
Metadata
1 maintainer
Release files for derivkit 1.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| derivkit-1.4.0.tar.gz | 1.8 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| derivkit-1.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.9 MB
Release files / derivkit-1.4.0.tar.gz
| Download URL | derivkit-1.4.0.tar.gz |
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| Size | 1.8 MB |
| Tags | Source |
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Release files / derivkit-1.4.0-py3-none-any.whl
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| Size | 161.5 kB |
| Tags | Python 3 |
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