Mathy

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Every plan, in full

On the record

Audience

Mathy Envs is presented for developing agents that can complete algebra environments, and its built-in environments aim to simplify algebra problems.envs.mathy.ai · read 5 Oct 2026

Command line

The CLI can simplify polynomial expressions and generate randomized problem lists.mathy.ai · read 5 Oct 2026

Compatibility

The documented requirement for Mathy is Python 3.6 or later.mathy.ai · read 11 Oct 2026

Computer algebra

Its computer algebra system parses text into expression trees for manipulation and evaluation.mathy.ai · read 11 Oct 2026

Contributor

The About page credits Justin DuJardin and copyright notices identify him as the copyright holder.mathy.ai · read 5 Oct 2026

Environment features

Environments support valid-action masks, per-action reward feedback, and controllable difficulty with easy, normal, and hard variants.envs.mathy.ai · read 11 Oct 2026

Expression visualization

Mathy visualizes expression trees in a compact layout with no overlapping branches.mathy.ai · read 5 Oct 2026

Installation

The main package is installed with pip install mathy, and Mathy Core and Mathy Envs are separately installable Python packages.mathy.ai · read 11 Oct 2026

Integration

Mathy Envs supports Gymnasium through a wrapper that registers its environments.envs.mathy.ai · read 11 Oct 2026

Learning environments

Users can use built-in learning environments or create their own with custom actions, problems, rewards, and win conditions.mathy.ai · read 11 Oct 2026

License

The Mathy Core and Mathy Envs pages link to project license pages, while the About page identifies MIT licensing for the cited Fragile contribution.mathy.ai · read 5 Oct 2026

Open source

The maker describes Mathy as free and open source and says it was created to provide a free tool for working through algebra problems.mathy.ai · read 11 Oct 2026

Open source and cost

The site says Mathy is free and open source.mathy.ai · read 5 Oct 2026

Planning algorithm

The CLI uses a swarm planning algorithm to choose intermediate steps toward a solution.mathy.ai · read 11 Oct 2026

Problem generation

The CLI can generate randomized problem lists, and environment-specific functions determine when a problem is solved.mathy.ai · read 11 Oct 2026

Purpose

Mathy is a tool for solving algebra problems step by step and contributing new solution types.mathy.ai · read 11 Oct 2026

Python support

Mathy uses Python type hints to support autocompletion and linting in modern IDEs.mathy.ai · read 5 Oct 2026

Reinforcement learning

Mathy Envs provides reinforcement learning environments for transforming math expressions using user-defined actions.envs.mathy.ai · read 11 Oct 2026

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