audmath
Math function implemented using numpy
Decision gist · record as of 2026-08-14
Yes, if you need mathematical functions for scientific work and want to avoid heavy dependencies. The package is actively maintained, MIT-licensed, has low install friction, and supports current Python versions. Install it when numpy-compatible math utilities fit your workflow.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later
- Low friction installation with a single numpy dependency.
- The package is actively maintained with recent commits and supports current Python versions.
License · maintenance · safety
MIT (permissive) — MIT license permits unrestricted use, modification, and distribution with minimal legal constraints.
last release 2025-10-13 (305 days) · last repo commit 2026-08-05
0 known vulnerabilities (OSV.dev, 2026-08-14) · 89,358 downloads/mo, #13,665 on PyPI
Alternatives
Verify before relying
pip install audmath
import audmath
import numpy- What specific mathematical functions are included in the library
- Performance characteristics and typical use cases beyond generic math utilities
- Whether pure Python implementation includes any compiled extensions
What it is and what it does
audmath is a collection of mathematical functions written in pure Python that depend only on numpy. It targets developers and researchers who need mathematical utilities for scientific computing. The package is production-stable, actively maintained, and supports modern Python versions from 3.10 onward.
The library sits in the scientific/engineering space and appears designed for cases where you want math functionality without heavy dependencies. With only numpy as a runtime requirement and a wheel-based installation, it integrates easily into existing scientific Python environments.
Use it for
- Add mathematical utilities to scientific Python projects without introducing heavy dependencies
- Incorporate into research code that requires reproducible, pure-Python mathematical operations
- Extend numpy-based workflows with domain-specific mathematical functions
- Use in projects where minimal external dependencies are a requirement
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you need mathematical functions for scientific work and want to avoid heavy dependencies.
The package is actively maintained, MIT-licensed, has low install friction, and supports current Python versions. Install it when numpy-compatible math utilities fit your workflow.
Install
audmath on PyPI
Before you install
Low friction installation with a single numpy dependency. The package is actively maintained with recent commits and supports current Python versions.
Requires Python 3.10 or later
License in practice
MIT license permits unrestricted use, modification, and distribution with minimal legal constraints.
Quickstart
pip install audmath
import audmath
import numpyVerify before relying
- What specific mathematical functions are included in the library
- Performance characteristics and typical use cases beyond generic math utilities
- Whether pure Python implementation includes any compiled extensions
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagenumpy |
| Maintenance | Actively maintained 305 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 89,358 / month, #13,665 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersIntended Audience :: Science/ResearchOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Scientific/Engineering |
Evidence: audmath-1.4.4-py3-none-any.whl
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