macOS
brew install envdlocal Homebrew formula metadata
brew
Prüfe Installationswege, Executables, Metadaten und Sicherheitshinweise für envd in AI-Agent-Workflows.
Installation
brew install envdlocal Homebrew formula metadata
Überblick
Reproducible development environment for AI/ML
Verlauf
envd is TensorChord's command-line tool for creating container-based development environments for AI and machine-learning work. It uses a Python-like `build.envd` declaration to turn Python, CUDA, shell, Jupyter, and container setup into a repeatable environment.
The README presents envd as a reaction to fragile AI/ML development setups, where Python packages, CUDA, shell scripts, and Dockerfiles often break together. Its core promise is to replace hand-written environment assembly with a simple declaration plus `envd up`.
The project builds OCI-compatible images and uses technologies such as Docker and BuildKit. Its documentation also covers local and Kubernetes-backed contexts, remote builds, package caches, Jupyter setup, and reusable build functions imported from Git repositories.
envd is distributed through several developer channels: the README documents pip installation, direct GitHub release binaries, and bootstrap after installation, while Homebrew packages it as `envd`. Homebrew analytics showed low hundreds of annual installs during this run, consistent with a specialized AI/ML infrastructure tool.
A typical workflow installs envd, runs `envd bootstrap`, creates or clones a project with a `build.envd` file, and runs `envd up` to build and attach to the containerized environment. The example manifest installs conda, Python, Python packages, a shell, and optional Jupyter support.
The package is especially relevant where reproducibility and GPU/container setup matter: local notebooks, remote build machines, Kubernetes clusters, and teams sharing environment definitions.
envd is a packaging-adjacent tool because it treats development environments themselves as declarative artifacts. For package nerds, it sits at the intersection of language package managers, OCI images, BuildKit caching, and reproducible developer onboarding.
Sicherheitslage
narrow executable package without higher-risk signals.
grün Risiko · niedrig Konfidenz · appliance
Prüfe vor unbeaufsichtigter Agent-Nutzung, ob das Tool Klartext-Credentials liest, Remote-Zustand schreibt, Artefakte veröffentlicht oder Plugins ausführt.
local files
These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.
Config paths the tool may read or write during local use.
build.envdExecutables
| Befehl | Art | Sichtbarkeit | Hinweis |
|---|---|---|---|
envd | cli | globales Executable |
Aktualität
Diese Signale trennen das Alter der Seitengenerierung, Aktivität des Paketmanagers und Upstream-Release-Vergleich. Versionsrückstand wird nur gemeldet, wenn eine Evidenz-URL und vergleichbare Versionen vorhanden sind.
https://github.com/tensorchord/envd
Installationsmetadaten
| Paketschlüssel | brew:envd |
|---|---|
| Version | 1.3.4 |
| Paketmanager | Homebrew |
| Paketmanager-Seite | https://formulae.brew.sh/formula/envd |
| Homepage | https://envd.tensorchord.ai |
| Repository | https://github.com/tensorchord/envd |
| Upstream-Dokumentation | https://envd.tensorchord.ai/guide/getting-started |
| Lizenz | Apache-2.0 |
| Quellarchiv | https://github.com/tensorchord/envd/archive/refs/tags/v1.3.4.tar.gz |
| Build-Abhängigkeiten | go |
| Bottle | verfügbar (auf arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | nicht definiert |
| Dienst | keiner deklariert |
Registry-Fakten
| Source Database | Homebrew formula API |
|---|---|
| Tap | homebrew/core |
| Full Name | envd |
| Version Scheme | 0 |
| Revision | 0 |
| Head Version | HEAD |
| Bottle Stable Root URL | https://ghcr.io/v2/homebrew/core |
| Deprecated | no |
| Disabled | no |
| Keg Only | no |
| URL Keys |
|
Quellspur
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View the package source record on GitHub.