Ross ROSS = Recommend OSS · open-source software intelligence for agents

tensorchord/envd

🏕️ Reproducible development environment for humans and agents observed · 2026-08-28

github.com/tensorchord/envd · homepage · Go · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

86/100

  • Activity 94
  • Release rhythm 69
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 1.5
  • age_days: 1605
  • days_rel: 208
  • days_push: 39
  • n_releases_24m: 21

Full methodology

Adoption not part of the score

2227 stars · 168 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

envd is a command-line tool that creates reproducible, container-based development environments for AI/ML work using a simple Python-like build.envd declaration instead of hand-written Dockerfiles. It builds OCI-compatible images with built-in support for Jupyter, VSCode remote, CUDA, and conda/pip dependencies, and can also provision environments for AI coding agents.

Use cases

  • set up a reproducible python machine learning dev environment
  • replace dockerfiles with a declarative build.envd
  • create a container with cuda and pytorch dependencies
  • spin up jupyter and vscode remote in an isolated container
  • share and publish dev environments as OCI images
  • provision consistent environments for AI coding agents like codex
  • reuse environment build functions across a team via git includes

When to choose

  • you do AI/ML development with complex Python, CUDA, and system dependencies
  • you want reproducible, versioned dev environments without writing Dockerfiles
  • your team needs to share and reuse environment definitions
  • you want first-class Jupyter and VSCode remote support in containers

When to avoid

  • you need a general-purpose CI/CD pipeline tool rather than a dev environment manager
  • your project has no containerization or dependency complexity
  • you cannot use Docker or an OCI-compatible runtime
  • you need lightweight virtualenv/conda-only workflows without containers

Facets

cli-tool · maturity active

developer-tools container-runtime build-tool configuration-management deployment developer-tools machine-learning data-science windows cli python go development-environment buildkit reproducible-environments mlops llmops cuda jupyter vscode-remote oci-images ai-agents containers command-line linux macos docker

3 sources

Member repositories

RepositoryRoleHealth v2
tensorchord/envdmain86

For agents

markdown · JSON · MCP: product_card(name="tensorchord/envd")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem