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Woxi — Wolfram Language interpreter in Rust

▲ 314 points 46 comments by adius 2w ago HN discussion ↗

Pangram verdict · v3.3

We believe that this text is a mix of AI and human-written content.

43 %

AI likelihood · overall

Mixed
54% human-written 46% AI-generated
SEGMENTS · HUMAN 0 of 2
SEGMENTS · AI 0 of 2
WORD COUNT 177
PEAK AI % 46% · §1
Analyzed
Aug 12
backend: pangram/v3.3
Segments scanned
2 windows
avg 89 words each
Distribution
54 / 46%
human / AI fraction
Verdict
Mixed
Pangram v3.3

Article text · 177 words · 2 segments analyzed

Human AI-generated
§1 Mixed · 46%

Wolfram Language interpreter implemented in Rust. Examples: Everything runs locally in your browser. No data is sent anywhere. Output Other ways to use Woxi The playground above is one of several Woxi front-ends — the same interpreter powers a full-screen playground, a command-line tool, a Jupyter kernel (also runnable in the browser via JupyterLite), and a native notebook editor. Extended playground Side-by-side editor and output pane with more room to explore. Great for multi-line expressions and experimenting with graphics.

§2 Mixed · 40%

Open the full playground → Command-line tool Evaluate expressions with woxi eval, run .wls scripts directly, or use Woxi as a shebang interpreter. Faster to start than wolframscript. See the scripting guide → Jupyter & JupyterLite Woxi ships as a Jupyter kernel. Install it locally with woxi install-kernel, or run the full notebook experience in your browser via the bundled JupyterLite instance — no install required. Read the Jupyter guide → Woxi Studio Native notebook editor for Wolfram Language .nb files. Cell-based editing, inline graphics, and export to .ipynb, Markdown, LaTeX, Typst, and PDF. Read the documentation →