CLOUDM0N
Repository intelligence

windmill-labs/windmill

GitHub

An open-source developer platform for building APIs, background jobs, workflows, and user interfaces using standard languages like Python, TypeScript, Go, and Bash.

CLOUDM0N decision
REVIEW BEFORE ADOPTION
Trust REVIEW · 10/100
Good fit if

Developers seeking to create, schedule, and chain multi-language scripts into highly performant background jobs and workflows.

Watch out for

Exposing directly any Windmill parts as a feature of a commercial product, reselling, or serving Windmill as a managed service requires a commercial license.

Practical intelligence

What matters before you adopt it

Problem it solves

The overhead and system fragmentation of building, scheduling, and orchestrating secure, multi-language background scripts and workflows, along with the manual effort of building custom web UI forms to trigger them.

Best for
Developers seeking to create, schedule, and chain multi-language scripts into highly performant background jobs and workflows.
Teams looking for a self-hostable workflow engine that is faster than Airflow, Prefect, or Temporal.
Engineers who want to build internal web applications on top of their automations and scripts without designing custom UIs from scratch.
Main trade-offs
Exposing directly any Windmill parts as a feature of a commercial product, reselling, or serving Windmill as a managed service requires a commercial license.
Exposing Prometheus metrics via the /metrics endpoint is restricted to the Enterprise Edition (EE only).
GCP Pub/Sub triggers using instance-level authentication rather than gcloud resource credentials require the Enterprise Edition (EE only).
Why it stands out
Supports a wide array of programming languages out of the box including Python (managed via uv), TypeScript/JavaScript (via Bun or Deno), Go, Bash, PowerShell, PHP, Rust, C#, Java, and Ansible.
Offers multiple developer workflows including a Web IDE, a VS Code Extension, Git Sync, and AI-assisted development via Claude Code.
Highly optimized Rust-based backend that executes jobs with minimal queuing overhead (~50ms latency addition).
Trust & CVEs

Security evidence without the noise

Trust remains a decision signal; CVEs and scanner evidence explain what is driving the risk.

Security findings
6
CLOUDM0N scanner findings
Critical
0
High
2
Medium
4
Low
0
View trust evidence & security findings▼
Why this score
No trust rationale was stored for this scan.
CLOUDM0N findings
HIGH
Remote download piped or chained into a shell requires manual review. 5 sample match(es) found.
HIGH
Container configuration requests host-level control or isolation bypass. 5 sample match(es) found.
MEDIUM
Dynamic code execution pattern detected. 5 sample match(es) found.
MEDIUM
The project can spawn operating-system processes; review command construction and input handling. 5 sample match(es) found.
MEDIUM
Broad permission or elevated-command pattern detected. 5 sample match(es) found.
MEDIUM
Dockerfile does not end with an explicit non-root USER.
Architecture from code12 modules · 2 edges▼
Structural evidence

Modules and dependency edges extracted from repository code. This is code evidence, not README inference.

Code files
755
Modules
12
Dependency edges
2
Core modules
ai_evals
139 files
backend
19 files
benchmarks
11 files
cli
270 files
debugger
8 files
docker
1 files
ephemeral-backends
4 files
examples
4 files
frontend
298 files
Dependency flow
ai_evals→cli
ai_evals→frontend
Detected languages
SQL · TypeScript · Rust · Shell · JavaScript · Python · C · Go
Detected frameworks
—
Architecture evidence details
flowchart TD
    %% repo — high-level architecture (DRAFT, refine me)
    n0["ai_evals · 139 files"]
    n1["backend · backend · 19 files"]
    n2["benchmarks · 11 files"]
    n3["cli · 270 files"]
    n4["debugger · 8 files"]
    n5["docker · 1 file"]
    n6["docs · documentation · 1 file"]
    n7["ephemeral-backends · 4 files"]
    n8["examples · examples · 4 files"]
    n9["frontend · frontend · 298 files"]
    n0 --> n3
    n0 --> n9
    class n1 api
    class n6,n8 docs
    class n9 ui
    classDef api fill:#af7aa1,color:#ffffff,stroke:#8a5f7f
    classDef docs fill:#9d7660,color:#ffffff,stroke:#7c5d4c
    classDef ui fill:#4e79a7,color:#ffffff,stroke:#3a5b80
Evidence, security & integrations▼
Integrations
PostgreSQLSvelte 5nsjailBunDenoPythonGoBash
Security notes
• Jobs are isolated at the filesystem and resource level using nsjail, and memory access is prevented via PID namespace isolation.
• Credentials and secrets stored in the K/V store are protected by a unique encryption key per workspace.
• Only superadmins are permitted to create new workspaces by default unless the CREATE_WORKSPACE_REQUIRE_SUPERADMIN environment variable is changed.
Still unknown
• The README references an external Benchmarks page for specific resource performance data rather than stating maximum workflow throughput values directly in the text.
• Does not detail the exact manual build commands or step-by-step SQL migrations required to compile the Rust backend from raw source code.
Adoption guidance▼
Adopt if
+ You want to build, schedule, and orchestrate serverless scripts written in Python, TypeScript, Go, or Bash inside a self-hosted environment.
+ You need a high-performance background workflow queue with sub-100ms execution times for lightweight Deno tasks.
+ You require granular, sandboxed process isolation to run untrusted script codes safely.
Avoid if
– You want to deploy a visual drag-and-drop workflow tool without self-hosting and managing a PostgreSQL database.
– You are planning to build a commercial managed automation service or white-labeled workflow feature to resell without purchasing a commercial license.
How it works & getting started▼
How it works
1.The user defines a minimal, generic script in Python, TypeScript, Go, or Bash via the Web IDE, VS Code, or Git.
2.The platform automatically parses the script's input parameters to construct a matching web input UI.
3.The user optionally chains these scripts together inside the flow editor to establish workflows.
4.Users can build custom interactive frontend dashboards and apps on top of these scripts and flows.
5.Workflows are triggered by webhooks, schedules, WebSockets, or messaging systems like Kafka.
Getting started
→ Download the docker-compose.yml, Caddyfile, and .env files from the repository.
→ Run 'docker-compose up' to launch the Windmill instance locally.
→ Open http://localhost in your browser.
→ Log in using the default credentials: [email protected] with password changeme.
Agent handoff
Use with any agent
JSON API
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