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envd

envd is a command-line tool for creating container-based AI/ML development environments. Its project positions the workflow around Python configuration while handling Docker and environment setup.

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Type
Container Platform

By Egor Burlakov · Edited · Source dates below

Snapshot

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Supported buying facts

AttributeDetail

Deployment

Runs in local contexts or Kubernetes-hosted cluster contexts; environment images are compatible with the OCI image specification.

Installation

Can be installed with pip or a binary release; the documented setup then runs envd bootstrap. Docker 20.10.0 or later is listed as a requirement.

License

Apache 2.0.

Take

Choose envd when your AI/ML team wants a declarative, container-based environment workflow that can move between local machines and Kubernetes clusters. Confirm that Docker and the documented bootstrap step fit your developer setup before standardizing on it.

Evaluate envd

Strengths

  • BuildKit-assisted remote builds and package caches for pip and APT are documented, including reuse of previously downloaded packages.

  • The project describes built-in Jupyter and VSCode remote-extension support; Jupyter can be enabled in build.envd and its endpoint retrieved from envd envs ls.

  • The include function can import Git repositories for reusable build functions.

Trade-offs

  • The documented prerequisites include Docker 20.10.0 or above, and the installation flow requires envd bootstrap after installation.

  • The documented workflow centers on defining the environment in a build.envd file and bringing it up with envd up.

Public signals

About these signals

Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.

9 GitHub commits 90d2.2k GitHub stars0 vulnerabilities across 1 package

See all signals from 3 sources
Source
Signals
Last updated
GitHub
Commits 90d:9Stars:2.2k
November 2, 2026
PyPI
Weekly downloads:4.6k
November 2, 2026
OSV
Package vulnerabilities:0 vulnerabilitiesacross 1 package

PyPI · envd@1.3.6

November 2, 2026

Sources

This review is based on the official envd website and the TensorChord envd repository documentation.