autograd-gamma
Autograd compatible approximations to the gamma family of functions
Decision gist · record as of 2026-08-14
No, unless you have a specific legacy dependency. The package is abandoned with last commit 2020-10-15 and no maintenance signal. High install friction and uncertain compatibility with current autograd and Python versions make it a poor choice for new projects.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires autograd to be installed separately; package is unmaintained since 2020-10-15
- High install friction and abandoned status since 2020-10-15 with no updates since.
- No runtime dependencies, but lack of maintenance may cause compatibility issues with modern Python versions.
License · maintenance · safety
MIT License (permissive) — MIT License permits free use, modification, and distribution with minimal restrictions.
last release 2020-10-15 (2129 days) · last repo commit 2020-10-15 · 15 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,923,840 downloads/mo, #3,427 on PyPI
Alternatives
Verify before relying
from autograd import grad
from autograd_gamma import gammainc, gammaincc
grad(gammainc, argnum=0)(1., 2.)
grad(gammaincc, argnum=0)(1., 2.)- Compatibility with current versions of autograd and modern Python releases
- Whether the analytical solutions mentioned in the long-term goal were completed or merged upstream
- Performance characteristics of the approximations relative to alternatives
What it is and what it does
autograd-gamma extends the autograd automatic differentiation library with derivatives for incomplete gamma and beta functions—special mathematical functions commonly used in statistics and scientific computing. It wraps approximations to these derivatives so you can compute gradients through them in optimization and machine learning workflows.
The package provides four gamma-family functions (gammainc, gammaincc, gammaincln, gammainccln) and two beta-family functions (betainc, betaincln), each differentiable with respect to specified arguments. It has no runtime dependencies and is designed as a lightweight bridge. However, the project has been inactive since 2020-10-15 and is no longer maintained.
Use it for
- Computing gradients through incomplete gamma functions in Bayesian inference or statistical models
- Optimizing parameters in distributions that depend on gamma or beta functions using gradient descent
- Building automatic differentiation pipelines for scientific computing that require special function derivatives
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No, unless you have a specific legacy dependency.
The package is abandoned with last commit 2020-10-15 and no maintenance signal. High install friction and uncertain compatibility with current autograd and Python versions make it a poor choice for new projects.
Install
autograd-gamma on PyPI
Before you install
High install friction and abandoned status since 2020-10-15 with no updates since. No runtime dependencies, but lack of maintenance may cause compatibility issues with modern Python versions.
Requires autograd to be installed separately; package is unmaintained since 2020-10-15
License in practice
MIT License permits free use, modification, and distribution with minimal restrictions.
Quickstart
from autograd import grad
from autograd_gamma import gammainc, gammaincc
grad(gammainc, argnum=0)(1., 2.)
grad(gammaincc, argnum=0)(1., 2.)Verify before relying
- Compatibility with current versions of autograd and modern Python releases
- Whether the analytical solutions mentioned in the long-term goal were completed or merged upstream
- Performance characteristics of the approximations relative to alternatives
Package facts
| License | MIT License permissive |
| Python support | Not specified |
| Install friction | High. Source build required |
| Runtime dependencies | None |
| Maintenance | Abandoned 2,129 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,923,840 / month, #3,427 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: Science/ResearchProgramming Language :: Python :: 2Programming Language :: Python :: 3Topic :: Scientific/Engineering |
Evidence: autograd-gamma-0.5.0.tar.gz
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