macOS
Homebrewverified · 100%
brew install envdlocal Homebrew formula metadata
brew
Install envd with Homebrew
Reproducible development environment for AI/ML. Version 1.3.4 via Homebrew; verified from local package data.
install
Additional install commands
overview
Package summary
Reproducible development environment for AI/ML
Project links
Commands and aliases
- envd
history
Project history and usage
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.
Project history
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.
Adoption history
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.
How it is used
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.
Why package nerds care
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.
Timeline
- 2022: TensorChord copyright and envd documentation identify the project era.
- 2020s: envd documents pip, release-binary, and Homebrew installation paths.
- 2020s: envd expands beyond local containers with remote build, cache, and Kubernetes-oriented documentation.
Related projects
- envd builds on Docker, BuildKit, OCI images, conda, Python packaging, Jupyter, and Kubernetes.
- envdlib is documented as a reusable library of envd build functions imported from Git repositories.
Sources
security posture
Risk level: green
narrow executable package without higher-risk signals.
Risk classifier
green risk · low confidence · appliance
Why
- narrow executable package without higher-risk signals
Signals
- metadata:no-higher-risk-signals
Install behavior
- No Homebrew post-install hook is recorded in formula metadata.
- Homebrew bottle metadata is available for 6 platform targets.
- Build metadata lists 1 build dependencies.
Recommended review
Before unattended agent use, check whether the tool reads plaintext credentials, writes remote state, publishes artifacts, or shells out to plugins.
local files
Configuration and credential file locations
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.
Configuration files
Config paths the tool may read or write during local use.
- Unix
build.envd
executables
Installed executables
| Command | Kind | Exposure | Note |
|---|---|---|---|
envd | cli | global executable |
freshness
Version and freshness
These signals separate page generation age, package-manager activity, and upstream release comparison. Version lag is warned only when an evidence URL and comparable versions are present.
page generated2026-07-08
manager version1.3.4
manager updated
local dataok
upstreamcurrent
latest detectedv1.3.4
https://github.com/tensorchord/envd
- infoNo package-manager update timestamp was available.low confidence
install metadata
Package metadata
| Package key | brew:envd |
|---|---|
| Version | 1.3.4 |
| Package manager | Homebrew |
| Package manager page | https://formulae.brew.sh/formula/envd |
| Homepage | https://envd.tensorchord.ai |
| Repository | https://github.com/tensorchord/envd |
| Upstream docs | https://envd.tensorchord.ai/guide/getting-started |
| License | Apache-2.0 |
| Source archive | https://github.com/tensorchord/envd/archive/refs/tags/v1.3.4.tar.gz |
| Build dependencies | go |
| Bottle | available (on arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux) |
| Homebrew post-install | not defined |
| Service | none declared |
registry facts
Source database details
| 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 |
|
source trail
Generated from repository data
This page is generated by av-web from the private package SQLite artifact built by scripts/generate-pkg-sqlite.py.
Combined YAML source
View the package source record on GitHub.
Used sources
- Geiger risk classifier
- Nucleus package database
- av.db category and tag curation
- cross-ecosystem install command graph
- curated configuration and credential file locations
- curated package history
- package relationship graph
- package version freshness
- package-page enrichment