SymPy

What it is

SymPy is a Python library for symbolic mathematics. It aims to become a full-featured computer algebra system while keeping the code as simple as possible in order to be comprehensible and easily extensible.

SymPy stands out as an open-source, Python-based library dedicated to symbolic mathematics, offering extensive functionality and ease of integration into Python projects.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Performance limitations with large-scale symbolic computations

   Symbolic operations can become computationally expensive and slow for complex expressions

2. 02

   Limited support for certain advanced mathematical domains

   Some specialized areas of mathematics like algebraic geometry or number theory have limited functionality compared to more mature systems like Mathematica or Maple

3. 03

   Documentation can be fragmented and not always up-to-date

   While comprehensive, the documentation sometimes lags behind rapid development cycles of new features

What it does well

• Symbolic mathematics capabilities

• Extensible codebase for easy customization and extension

• Comprehensive documentation and community support

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.