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.
Try it in your browser, no install: play.charlot-lang.dev runs the JMax evaluator compiled to WebAssembly. Nothing leaves the page.
Release binaries + examples + documentation. JMax is a free and open research project, released under MIT OR Apache-2.0 (see COPYRIGHT).
| Binary | Purpose |
|---|---|
jmax |
The JMax CLI: REPL, file runner, formatter, MCP server |
JMax ships as a self-contained prebuilt binary, download the archive for your platform from the latest release (assets: jmax-<version>-<target>.tar.gz, with SHA-256 checksums):
V=0.1.0; T=aarch64-apple-darwin # Apple silicon; pick your target
curl -fsSL "https://github.com/openIE-dev/jmax/releases/download/v$V/jmax-$V-$T.tar.gz" | tar xz
sudo mv "jmax-$V-$T/jmax" /usr/local/bin/ && jmax --versionTargets: aarch64-apple-darwin, x86_64-apple-darwin, x86_64-unknown-linux-musl, aarch64-unknown-linux-musl, x86_64-pc-windows-msvc. Full instructions in the install guide.
Platform support:
| Platform | Status |
|---|---|
| macOS arm64 (Apple Silicon) | shipping |
| macOS x86_64 | shipping |
| Linux x86_64 (musl) | shipping |
| Linux aarch64 (musl) | shipping |
| Windows x86_64 | shipping |
| WASM (browser) | shipping |
# Solve a linear system, look at the spectrum, return the determinant.
let A = [[2.0, 1.0], [1.0, 3.0]]
let b = [5.0, 10.0]
let x = A \ b # -> [1, 3]
let spectrum = eig(A) # -> [3.618, 1.382]
det(A) # -> 5
jmax run examples/hello/hello.jm # -> 5.0REPL:
jmax replSee examples/ for linear algebra, signal processing, plotting, science notebooks, and the JMax → flowG projection.
- 2,500+ functions across 82 modules, all in one binary, linear algebra, FFT, optimization, statistics, ML primitives, file IO, plotting, nothing else to install. The reference documents the 113 most-used as top-level built-ins.
.jmfiles 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.
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
The documentation site and the GitHub Pages book mirror each other:
| Website | GitHub Pages | |
|---|---|---|
| Home / language | charlot-lang.dev | openie-dev.github.io/jmax |
| Docs & function reference | docs.charlot-lang.dev | /reference/builtins |
jmax CLI reference |
api.charlot-lang.dev | /reference/cli |
| Browser playground | play.charlot-lang.dev | , |
- Examples →
examples/ - Source mirror →
openIE-dev/jmax-core
GitHub Releases, tagged versions with prebuilt binaries for every supported platform, plus SHA-256 checksums.
- Discussions, Q&A, function requests
- Issues, bug reports
- Security: see SECURITY.md
Copyright (c) 2026 Open Interface Engineering, Inc. Licensed under either of Apache License, Version 2.0 (LICENSE-APACHE) or the MIT license (LICENSE-MIT), at your option, for the binaries, the documentation and the examples. Earlier releases and earlier versions of this README described the binaries as Business Source License 1.1; that no longer applies.