JMax

A math-native programming language for science, data, and visualization.

JMax is what you'd build if you started from "I want MATLAB / Julia / R / Mathematica, but as a single self-contained tool with no install dance and 2,500 functions built in." It's a complete data-science surface — linear algebra, signal processing, plotting, statistics, ML primitives — projected onto flowG so the same code runs on CPU, Apple-silicon Metal, or WebGPU.

This is the public release surface. Source is private at openIE-dev/jmax-core.

Status

Release binaries + examples + documentation. JMax is free to use software, not an open-source project. See LICENSE for Business Source License 1.1 terms — converts to Apache-2.0 four years after each binary's release date.

What you get

Plus a Rust library, jmax, for embedding.

Install

# via cargo
cargo install jmax

# via cargo-binstall (prebuilt binary)
cargo binstall jmax

# direct download
curl -fsSL https://github.com/openIE-dev/jmax/releases/latest/download/jmax-$(uname -s)-$(uname -m).tar.gz | tar xz

Platform support:

Hello, JMax

# JMax script: solve a linear system, plot, and energy-receipt the work
A = randn(1000, 1000)
b = randn(1000)
x = A \ b
norm(A * x - b)

jmax run examples/linear-algebra/solve.jm

REPL:

jmax repl

See examples/ for linear algebra, signal processing, plotting, science notebooks, and the JMax → flowG projection.

What makes JMax different

• 2,502 scientific computing functions — across 82 modules — that you can import without installing anything else. Linear algebra, FFT, optimization, statistics, ML primitives, file IO, plotting, all in the same binary.
• .jm files run anywhere — same code on CPU, GPU, WGPU via flowG dispatch.
• Energy receipts — every workload optionally records picojoule-per-operation via the substrate-energy layer.
• MCP server built in — JMax exposes its computation surface as an MCP server (jmax mcp) so any LLM agent can route math through it.
• Pure Rust — no Python, no C++ shared libraries, no LAPACK or BLAS to install. JMax compiles to a single binary.

How it fits

JMax is the scientific-computing surface in the openIE-dev family:

• flowG — the substrate JMax compiles to
• Lux — general-purpose sibling
• Joule — energy-budgeted compiled sibling
• JouleDB — the metered database for persistence

Documentation

• Getting started → https://openie-dev.github.io/jmax
• Examples → examples/
• Function reference → https://openie-dev.github.io/jmax/reference
• Source mirror → openIE-dev/jmax-core

Releases

GitHub Releases — tagged versions with prebuilt binaries for every supported platform, plus SHA-256 checksums.

Community

• Discussions — Q&A, function requests
• Issues — bug reports
• Security: see SECURITY.md

License

• Binaries — Business Source License 1.1; see LICENSE. Free for non-commercial use, internal use by orgs under $1M revenue, security/academic research. Converts to Apache-2.0 four years after each release.
• Documentation — CC-BY-4.0
• Examples — Apache-2.0