# Installer lunarml avec Homebrew, Nix

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de lunarml pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:lunarml
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install lunarml
```

  Preuve: local Homebrew formula metadata

### Linux

- Nix (92%):

```sh
nix profile install nixpkgs#lunarml
```

  Preuve: nixpkgs package indexes: pkgs/by-name/lu/lunarml/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1

## Faits du paquet

- **Clé du paquet:** brew:lunarml
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.3.0
- **Résumé source:** Standard ML compiler that produces Lua/JavaScript
- **Page d'accueil:** <https://github.com/minoki/LunarML>
- **Dépôt:** <https://github.com/minoki/LunarML>
- **Dernière mise à jour:** 2026-06-22T14:05:14-07:00
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- lunarml (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.3.0
## Historique du projet et usages

LunarML is a Standard ML compiler whose distinguishing package-manager pitch is that it emits Lua and JavaScript rather than native code. Its upstream README describes it as a compiler for the full SML '97 language with signatures, functors, a subset of the Basis Library, an ML Basis system for multi-file projects, and targets for Lua, LuaJIT, Node.js, and web JavaScript.

### Historique du projet

The public GitHub repository was created in 2018 under ARATA Mizuki's minoki account. The project has since developed as a niche cross-runtime Standard ML implementation: the documentation is maintained as Sphinx/Read the Docs material, and the README documents prebuilt binaries, Docker usage, and source builds via MLton.

By the v0.3.0 release line, LunarML packaged the compiler as native binaries as well as precompiled Lua and Node.js scripts. The README warns that script-compiled LunarML is slower than the native binary, which reflects the project's practical packaging concern: making the compiler runnable in several host environments while preserving a serious-use native path.

### Historique d'adoption

LunarML remains a specialist language-tooling package rather than a mass-market runtime. The supplied package metadata lists Homebrew and Nix packages, and the GitHub repository metadata shows a modest but visible audience for an SML-to-Lua/JavaScript compiler.

Its adoption story is strongest among language implementers and users who want Standard ML code to run in ecosystems where Lua or JavaScript is the deployment substrate.

### Modes d'utilisation

The core command is `lunarml compile [options] input.(sml|mlb)`. Users choose targets such as Lua 5.3+, LuaJIT, Node.js ES modules, or web JavaScript, and can produce executable-style programs or modules.

The README also documents `check`, `help`, and `version` subcommands, Docker invocation, `make install`, and build/test targets for Lua, LuaJIT, and Node.js back ends.

### Pourquoi les passionnés de paquets s'y intéressent

LunarML is interesting to package nerds because it packages a traditionally academic language in a portable, script-friendly way. A Homebrew or Nix install can turn SML source into Lua or JavaScript output without requiring users to assemble a full bespoke compiler toolchain.

The package also shows the tension common in language packages: convenient precompiled scripts exist for reach, while the upstream docs still steer serious users toward the native compiler.

### Chronologie

- 2018: GitHub repository created for minoki/LunarML.
- 2024: Read the Docs documentation copyright year indicates maintained public documentation.
- 2025: v0.3.0 release published with documented prebuilt binary workflows.

### Related projects

- MLton is documented as the build-time Standard ML compiler needed to build LunarML.
- Lua, LuaJIT, Node.js, and web JavaScript are documented output targets.
- The ML Basis system is documented as LunarML's multi-file project mechanism.

### Sources

- <https://api.github.com/repos/minoki/LunarML>
- <https://api.github.com/repos/minoki/LunarML/releases/latest>
- <https://github.com/minoki/LunarML#readme>
- <https://lunarml.readthedocs.io/en/latest/>
- source_facts.package-manager


## Notes de sécurité

narrow executable package without higher-risk signals.

- **Risque Geiger:** vert / faible
- narrow executable package without higher-risk signals

## Autres enregistrements de gestionnaires de paquets

- Nix - lunarml: normalized package name match | nixpkgs package indexes: pkgs/by-name/lu/lunarml/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1


## Combined YAML source

View the package source record on GitHub. [combined/lunarml.yml](https://github.com/mxcl/pkgdb/blob/main/combined/lunarml.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated package history
- pkgdb category and tag curation
- external package-manager database matches
- cross-ecosystem install command graph