sympy/sympy
A computer algebra system written in pure Python observed · 2026-08-28
Health v2 · maintenance only
70/100
- Activity 99
- Release rhythm 16
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 110.0
- age_days: 5969
- days_rel: 493
- days_push: 7
- n_releases_24m: 3
Adoption not part of the score
14891 stars · 5455 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
SymPy is a computer algebra system (CAS) written in pure Python for symbolic mathematics. It provides capabilities for algebra, calculus, equation solving, series expansion, and more without requiring external dependencies.
Use cases
- solve symbolic equations in python
- compute derivatives and integrals symbolically
- simplify algebraic expressions
- expand taylor series of a function
- work with matrices and linear algebra symbolically
- generate latex from math expressions
When to choose
- you need exact symbolic math rather than floating-point numerics
- you want a pure-Python CAS with no compiled dependencies
- you're doing calculus, algebra, or equation solving in Python
When to avoid
- you need fast numerical computation on large arrays (use NumPy)
- you need a full-featured commercial CAS like Mathematica for advanced work
Facets
library · maturity stable
math mathematics data-science python cross-platform computer-algebra symbolic-math cas pure-python scientific-computing algorithms
3 sources
- readme: https://github.com/sympy/sympy · fetched 2026-08-28 · df34587b3a61
- homepage: https://sympy.org/ · fetched 2026-08-29 · 02f22166e4ce
- registry_pypi: https://pypi.org/pypi/sympy/json · fetched 2026-08-29 · 20e186434a25
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sympy/sympy | main | 70 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem