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windmill-labs/windmill

Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • Last commit today
  • 7 active contributors
  • Distributed ownership (top contributor 48% of recent commits)
  • Apache-2.0 licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

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Repository brief

Repo brief: windmill-labs/windmill

Generated by RepoPilot · document generated 2026-09-15 · concise human review Evidence snapshot · analyzed 2026-09-15T12:29:17.089Z · commit 0f3d884c6f24

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 7 active contributors
  • Distributed ownership (top contributor 48% of recent commits)
  • Apache-2.0 licensed
  • 2 more receipts on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Windmill is an open-source developer platform (AGPLv3) that transforms scripts (Python, TypeScript, Go, Bash, SQL, etc.) into APIs, webhooks, background jobs, workflows, and auto-generated UIs. It's a self-hostable alternative to Retool and Pipedream that claims 13x faster workflow execution than Airflow, with both no-code and low-code UI builders for composing scripts into internal applications. Monorepo with a primary backend in Rust (15.8M lines), TypeScript/Svelte frontend (11.5M+ lines), and ai_evals/ subdirectory containing test adapters and evaluation runners for CLI, frontend, and flow/app engines. Key structure: ai_evals/adapters/frontend/core/ organizes domain-specific runners…

Start here

Open these first:

  • ai_evals/core/runSuite.ts — Entry point for the AI evaluation framework that orchestrates test suite execution across all evaluation modes.
  • ai_evals/adapters/frontend/windmillBackend.ts — Mock backend adapter implementing the Windmill API contract for frontend evaluation tests.
  • ai_evals/modes/script.ts — Script mode evaluator showing how to structure evaluation runners for different artifact types.
  • ai_evals/core/cases.ts — Test case definition and loading system that reads and parses evaluation scenarios from YAML.
  • backend/Cargo.toml — Rust backend dependency manifest defining core platform runtime and its third-party integrations.

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone: git clone https://github.com/windmill-labs/windmill. Install: Check for Rust (backend) and Node/Bun (frontend/ai_evals) manifests in repo root—likely cargo build for backend and npm install or bun install

Daily commands:

For ai_evals: bun install (from package.json), then bun cli/index.ts to run CLI. For frontend tests: npm run test:frontend-graph runs vitest. Root Dockerfile and Caddyfile suggest docker-compose up workflow (see…

…shortened for this brief.

Key cautions & unknowns

  • ai_evals/ is a private package (@private in package.json)—understand it's for evaluation/testing, not published. Package uses Bun (alternative JS runtime) alongside Node; ensure your environment supports both or check…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


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