# mlkit mit Homebrew, Nix installieren

Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für mlkit in AI-Agent-Workflows.

## Installation

```sh
sudo av install brew:mlkit
```

Weitere Installationsbefehle:

### macOS

- Homebrew (100%):

```sh
brew install mlkit
```

  Evidenz: local Homebrew formula metadata

### Linux

- Nix (92%):

```sh
nix profile install nixpkgs#mlkit
```

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

## Paketfakten

- **Paketschlüssel:** brew:mlkit
- **Paketmanager:** Homebrew
- **Version:** 4.7.22
- **Quellzusammenfassung:** Compiler for the Standard ML programming language
- **Homepage:** <https://melsman.github.io/mlkit>
- **Repository:** <https://github.com/melsman/mlkit>
- **Zuletzt aktualisiert:** 2026-08-02T08:56:40Z
- **Generiert:** 2026-08-03T19:37:03+00:00

## Executables

- kittester (Alias)
- mlkit (Alias)
- mlkit-mllex (Alias)
- mlkit-mlyacc (Alias)
- reml (Alias)
- rp2ps (Alias)

## Installationsverhalten

- Bottle: nicht verfügbar

## Version und Aktualität

- Seite generiert: 2026-08-03
- Manager-Version: 4.7.22
## Projektgeschichte und Nutzung

MLKit descends from The ML Kit, Version 1, announced by Mads Tofte on 1993-03-12 and attributed there to Nick Rothwell, David N. Turner, Mads Tofte, and Lars Birkedal at Edinburgh and Copenhagen Universities. That early release was distributed with about 100 pages of documentation explaining how to build, run, read, and modify the Kit, making it both a Standard ML implementation and a compiler-hacking vehicle.

### Projektgeschichte

The later MLKit project became a compiler toolkit for Standard ML with two main compiler paths sharing a frontend and compilation-management scheme: MLKit with Regions, with a native x64 backend based on region inference, and SMLtoJs, a JavaScript backend for browser-targeted Standard ML. Its documentation says it covers all of Standard ML from the 1997 Definition and most of the Standard ML Basis Library.

### Wie es verwendet wird

MLKit's distinctive technical role is region-based memory management for ML. The project documentation describes compiler-inferred allocation and deallocation directives, region profiling, C interoperation, and optional reference-tracing garbage collection on top of region inference. In practice it is used both as an SML compiler and as a research/development tool for region inference, SML-to-JavaScript compilation, bootstrapping, ML Basis files, and compatibility work alongside tools such as MLton and smlpkg.

### Quellen

- <https://elsman.com/mlkit/papers>
- <https://elsman.com/mlkit/pdf/kit.pdf>
- <https://formulae.brew.sh/formula/mlkit>
- <https://github.com/melsman/mlkit>
- <https://groups.google.com/g/comp.compilers/c/my2OjNZxT20>
- <https://raw.githubusercontent.com/melsman/mlkit/master/README.md>


## Sicherheitshinweise

generalized runtime or code generation signal.

- **Geiger-Risiko:** yellow / mittel
- generalized runtime or code generation signal

## Andere Paketmanager-Einträge

- Nix - mlkit: normalized package name match | nixpkgs package indexes: pkgs/by-name/ml/mlkit/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/mlkit.yml](https://github.com/mxcl/pkgdb/blob/main/combined/mlkit.yml)


## Quellen

- 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