# Installer chopper avec Homebrew

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

## installation

```sh
sudo av install brew:chopper
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install chopper
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:chopper
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.13.0
- **Résumé source:** Filter and trim long-read sequencing data by quality and length
- **Page d'accueil:** <https://github.com/wdecoster/chopper>
- **Dépôt:** <https://github.com/wdecoster/chopper>
- **Dernière mise à jour:** 2026-07-15T10:09:42Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- chopper (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.13.0
## Historique du projet et usages

chopper is a Rust command-line program for filtering and trimming FASTQ reads from long-read sequencing platforms such as Oxford Nanopore and PacBio. It is designed as a faster reimplementation of functionality associated with the Python tools NanoFilt and NanoLyse.

### Historique du projet

The project's GitHub repository was created in August 2020. Its first published GitHub release was v0.1.0 in November 2022, and development has continued through later releases that expanded its filtering and trimming strategies.

### Historique d'adoption

The project distributes ready-to-use binaries from GitHub Releases and documents installation through Bioconda. The supplied package metadata also records a Homebrew formula, making it available in both bioinformatics-focused and general-purpose package-manager workflows.

### Modes d'utilisation

chopper fits Unix sequencing pipelines by reading FASTQ from standard input and writing accepted reads to standard output. Common invocations set minimum quality and length thresholds, optionally crop or quality-trim reads, and pipe compressed data through gzip or pigz.

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

For package-oriented users, chopper is notable as a small Rust replacement for older Python tooling that preserves stream-based composition while offering standalone release binaries and Bioconda and Homebrew distribution. Its stdin/stdout interface makes it easy to slot into reproducible shell pipelines without project-specific configuration.

### Chronologie

- 2020: GitHub repository created.
- 2022: First GitHub release, v0.1.0.
- 2026: v0.13.0 released with split-window support for low-quality splitting.

### Related projects

- NanoFilt and NanoLyse are the Python tools whose functionality motivated chopper's Rust implementation.
- pigz is recommended in the official README for overlapping FASTQ compression or decompression with chopper's processing.

### Sources

- <https://api.github.com/repos/wdecoster/chopper>
- <https://api.github.com/repos/wdecoster/chopper/releases?per_page=100>
- <https://github.com/wdecoster/chopper#readme>
- source_facts.package-manager


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour chopper. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.



## Combined YAML source

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


## Sources

- pkg.so package database
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph