---
id: simple-equ
version: "1.5.11"
license: MIT License Copyright (c) 2026 antfullstack Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal… (full text in the JSON record)
license_treatment: permissive
maintenance: active
---

# simple-equ — An open source library containing multiple known STEM equations in a functional form.

License: permissive · Maintenance: active · Downloads: 170.6K/mo

## What it is and what it does

simple-equ is a functional library that wraps common STEM equations—quadratic solvers, trigonometric functions, linear regression, and others—into a simple import-and-call interface. Rather than reimplementing basic formulas each time, you import the relevant submodule (algebra, geometry, statistics, economics) and call the function by name. The library targets developers who want to avoid boilerplate math code without adding heavy dependencies.

The package has no runtime dependencies and supports current Python versions via precompiled wheels. It is structured by field and subfield, so `import simple_equ.math_general.algebra` gives you algebra functions, while `simple_equ.economics.statistics` provides statistical tools. The trade-off is that you are limited to whatever equations the library has already implemented—it is not a general-purpose math engine, but a curated collection.

Use it for:

- Quickly solve quadratic equations or perform algebraic calculations in scripts without additional math libraries.
- Calculate trigonometric values using built-in implementations rather than external dependencies.
- Run linear regression on datasets in educational or exploratory code.
- Prototype STEM coursework or homework solutions where standard formulas need to be applied cleanly.
- Build lightweight scientific tools where avoiding heavy dependencies is a priority.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

A library of ready-to-use STEM equations implemented as functions, covering algebra, geometry, and statistics to avoid reimplementing common mathematical formulas.

Yes, if you need quick access to a curated set of STEM equations and want to avoid dependency bloat. The MIT license is permissive, install friction is moderate, and there are no known vulnerabilities. Suitable for educational use, prototyping, and lightweight scientific scripts. Not recommended if you need a comprehensive math library.

## Install

pip install simple-equ
uv add simple-equ
poetry add simple-equ

## Installing simple-equ

Before you install: Medium install friction due to compiled wheels across multiple Python versions and platforms. Marked as active maintenance with recent releases.

License in practice: MIT License permits free use, modification, and distribution with minimal restrictions—suitable for commercial and open-source projects alike.

Quickstart:

pip install simple-equ

import simple_equ.math_general.algebra as sa
result = sa.basic_quadratic(3, 4, 4)

Requires Python 3.8 or newer.

Verify before relying:

- Whether the library's accuracy claims have been validated against standard implementations.
- What specific STEM equations are included beyond the algebra, geometry, and statistics examples shown.
- Performance characteristics compared to direct implementations.
- Whether statistical functions handle edge cases (empty data, singular matrices, etc.).

## Package facts

- License: MIT License Copyright (c) 2026 antfullstack Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal… (full text in the JSON record) (permissive)
- Python support: supports_current
- Install friction: medium
- Maintenance: active
- Downloads: 170.6K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

math equation library, STEM functions, quadratic solver, algebra geometry statistics, mathematical formulas, scientific calculations, equation solver, math-utilities, stem-education, no-dependencies

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