In the Crest catalog
HIPS/autograd
Efficiently computes derivatives of NumPy code.
- Stars
- 7.5K
- Forks
- 946
- Language
- Python
- Last push
- 23d ago
- Last release
- 4mo ago
Linked by the package’s own registry metadata.GitHub (opens in a new tab)
Package · PyPI
autograd
PyPI · v1.9.1 · MIT
Efficiently computes derivatives of NumPy code.
Tentative categories were assigned with moderate confidence (0.5 to 0.75): they are shown, but they do not count toward a category’s momentum. How categories work
Technologies
Install
pip install autogradAdoption
- Adoption
- Not published by PyPI
- Not published
- Popularity
- Not published by PyPI
- Not published
- Dependents
- Not published by PyPI
- Not published
- Maintenance
- 0.53
- DerivedRelease cadence and recency, 0 to 1
- Releases per year
- 2.9
- 33 versions over its life
Growth by period
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
- 7 days
- Not published by PyPI
- Not published
- 30 days
- Not published by PyPI
- Not published
- 90 days
- Not published by PyPI
- Not published
- 1 year
- Not published by PyPI
- Not published
Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
Facts from the registry
- Latest version
- v1.9.1
- 33 versions
- First published
- APR 10, 2015
- Last release
- JUL 2, 2026
- 4mo ago
- Licence
- MIT
Repository
Dependencies latest version · v1.9.1
Runtime 1
- numpy
<3
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Related news
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