* feat: column-level lineage for ducklake pipelines via // column annotation Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * feat: auto-derive column lineage from DuckDB SQL AST (annotation as override) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs: clarify column-lineage inference is server-side; drafts use annotations Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * feat(frontend): surface inferred column lineage in live pipeline drafts Threads the DuckDB SQL-AST column lineage (from the WASM asset parser) through ScriptEditor -> details pane -> page -> resolveGraph, merged with // column annotations (annotation wins) so the live preview matches the deployed graph. Takes effect once windmill-parser-wasm-asset is republished with the inference. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * chore(frontend): bump windmill-parser-wasm-asset to 1.740.0 for SQL column-lineage inference Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * docs: column-lineage inference now runs live (WASM) too, merged with annotations Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * feat(frontend): transitive column-lineage trace (impact analysis) Stitches every producer's column_lineage into a pipeline-wide column graph (columnLineageGraph.ts) and replaces the single-hop diagram with an interactive ColumnLineageTrace: select an asset to see its columns' full upstream/downstream lineage across scripts; click any column to highlight its complete transitive impact set (forward + backward) and dim the rest. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix: address CI review on column lineage (parse-fallback, node-id, perf, leak) - backend: DuckDB SQL parse failure now falls back to `// column` annotation lineage instead of dropping it (Codex P1) - columnLineageGraph: collision-proof JSON node ids; deterministic first-write output anchoring when a producer has multiple ducklake writes (cubic P2 ×2) - pipeline page: gate buildColumnGraph to a ducklake-asset selection so it doesn't rebuild on every editor keystroke (cubic P2) - ScriptEditor: clear inferredColumnLineage on parse error so it can't leak across a script switch (cubic P2) - AssetGraphEdge: widen badge stacking offset 12px->18px to fully clear (cubic P3) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix: resolve JOIN inputs + anchor column lineage to // materialize target Addresses the second Codex review pass (two P1s): - SQL inference now walks JOINed tables: build_from_maps maps every FROM entry AND its joins into the alias map, and single-table attribution requires no joins. `SELECT o.x, c.y FROM a o JOIN b c` now resolves c.y (was dropped). - The column graph anchors a producer's lineage to its declared // materialize target (surfaced on the runnable node) instead of guessing a ducklake write-edge, which is unordered for deployed graphs and ambiguous for multi-output scripts. Falls back to a write-edge when no materialize target. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix: gate column-lineage badge to the // materialize target write-edge The canvas badge keyed on `e.asset_kind === 'ducklake'`, so a multi-output producer showed the same column mapping on every ducklake write-edge. Use the same materialize-target anchor as buildColumnGraph: the badge lands only on the declared output's edge, falling back to the ducklake write-edge when there's no materialize annotation. (Codex P1) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix: build column trace from displayGraph so View hides draft lineage The transitive column trace was built from graphWithDraft regardless of mode, so in View with drafts hidden it could surface draft `// column` lineage the deployed canvas doesn't show. Build it from `displayGraph` (the graph the canvas actually renders) so the trace matches: draft overlays in edit / show-drafts, deployed-only in plain View. (Codex P2) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix: don't infer column lineage for local/temp staging CTAS A CTAS into a local/temp staging table isn't the materialized output, but its projection was inferred and (flat) column_lineage anchored to the script's // materialize target — so staging columns showed up as the final asset's. Gate inference to the actual output: a top-level managed-materialize SELECT, or a CTAS/CREATE VIEW whose target resolves to a real asset. (Codex P1) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix: scope inferred column lineage to one output asset Inference accumulated columns from every output-producing query into one flat list, all anchored (frontend) to the script's // materialize target — so an auxiliary CTAS into a different asset showed its columns on the materialized one. Tag each inferred entry with its output asset and, in parse_assets, scope the list to the // materialize target (keeping untagged top-level-SELECT entries); with no declared target, drop inference when entries span multiple output assets rather than attribute them to an arbitrary one. Parser-internal — no wire change. (Codex P1) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix: treat CREATE TEMP TABLE/VIEW as local even under an active USE A one-part temp name under `USE dl` resolved to an asset (ducklake://…/tmp) before being registered local, so a final SELECT reading it invented `final.total <- warehouse/tmp.amt` (a phantom DuckLake column) and recorded a phantom asset. track_table_definition now registers any temporary table/view as local up front, bypassing active-asset resolution; CreateTable/CreateView pass their `temporary` flag. (Codex P1) Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Open-source developer platform for internal code: APIs, background jobs, workflows and UIs. Self-hostable alternative to Retool, Pipedream, Superblocks and a simplified Temporal with autogenerated UIs and custom UIs to trigger workflows and scripts as internal apps.
Scripts are turned into sharable UIs automatically, and can be composed together into flows or used into richer apps built with low-code. Supported languages: Python, TypeScript, Go, Bash, SQL, GraphQL, PowerShell, Rust, and more.
Try it - Website - Docs - Discord - Hub - Contributor's guide
Windmill - Developer platform for APIs, background jobs, workflows and UIs
Windmill is fully open-sourced (AGPLv3) and Windmill Labs offers dedicated instances and commercial support and licenses.
https://github.com/user-attachments/assets/d80de1d9-64de-4d89-aacd-6df23fa81fc4
- Windmill - Developer platform for APIs, background jobs, workflows and UIs
Main Concepts
- Define a minimal and generic script in Python, TypeScript, Go or Bash that solves a specific task. The code can be defined in the provided Web IDE or synchronized with your own GitHub repo (e.g. through VS Code extension): provided Web IDE or synchronized with your own GitHub repo (e.g. through VS Code extension):
- Your scripts parameters are automatically parsed and generate a frontend.
- Make it flow! You can chain your scripts or scripts made by the community shared on WindmillHub.
- Build complex UIs on top of your scripts and flows.
Scripts and flows can be triggered by schedules, webhooks, HTTP routes, Kafka, WebSockets, emails, and more.
Build your entire infra on top of Windmill!
Show me some actual script code
//import any dependency from npm
import * as wmill from "windmill-client";
import * as cowsay from "cowsay@1.5.0";
// fill the type, or use the +Resource type to get a type-safe reference to a resource
type Postgresql = {
host: string;
port: number;
user: string;
dbname: string;
sslmode: string;
password: string;
};
export async function main(
a: number,
b: "my" | "enum",
c: Postgresql,
d = "inferred type string from default arg",
e = { nested: "object" }
//f: wmill.Base64
) {
const email = process.env["WM_EMAIL"];
// variables are permissioned and by path
let variable = await wmill.getVariable("f/company-folder/my_secret");
const lastTimeRun = await wmill.getState();
// logs are printed and always inspectable
console.log(cowsay.say({ text: "hello " + email + " " + lastTimeRun }));
await wmill.setState(Date.now());
// return is serialized as JSON
return { foo: d, variable };
}
Local Development
Windmill supports multiple ways to develop locally and sync with your instance:
| Tool | Description |
|---|---|
| CLI | Sync scripts from local files or GitHub, run scripts/flows from the command line |
| VS Code Extension | Edit and test scripts & flows directly from VS Code / Cursor with full IDE support |
| Git Sync | Two-way sync between Windmill and your Git repository |
| Claude Code | AI-assisted development with Claude for scripts, flows, and apps |
https://github.com/user-attachments/assets/c541c326-e9ae-4602-a09a-1989aaded1e9
You can run scripts locally by passing the right environment variables for the wmill client library to fetch resources and variables from your instance. See local development docs.
Stack
- Database: Postgres (compatible with Aurora, Cloud SQL, Neon, Azure PostgreSQL)
- Backend: Rust - stateless API servers and workers pulling jobs from a Postgres queue
- Frontend: Svelte 5
- Sandboxing: nsjail and PID namespace isolation
- Runtimes:
- TypeScript/JavaScript: Bun (default) and Deno
- Python: python3 with uv for dependency management
- Go, Bash, PowerShell, PHP, Rust, C#, Java, Ansible
Fastest Self-Hostable Workflow Engine
We have compared Windmill to other self-hostable workflow engines (Airflow, Prefect & Temporal) and Windmill is the most performant solution for both benchmarks: one flow composed of 40 lightweight tasks & one flow composed of 10 long-running tasks.
All methodology & results on our Benchmarks page.
Security
- Sandboxing: nsjail for filesystem/resource isolation, and PID namespace isolation (enabled by default) to prevent jobs from accessing worker process memory
- Secrets: One encryption key per workspace for credentials stored in Windmill's K/V store. We recommend encrypting the Postgres database as well.
See Security documentation for details.
Performance
Once a job started, there is no overhead compared to running the same script on the node with its corresponding runner (Deno/Go/Python/Bash). The added latency from a job being pulled from the queue, started, and then having its result sent back to the database is ~50ms. A typical lightweight deno job will take around 100ms total.
Architecture
How to self-host
For detailed setup options, see Self-Host documentation.
Docker compose
Deploy Windmill with 3 files (docker-compose.yml, Caddyfile, .env):
curl https://raw.githubusercontent.com/windmill-labs/windmill/main/docker-compose.yml -o docker-compose.yml
curl https://raw.githubusercontent.com/windmill-labs/windmill/main/Caddyfile -o Caddyfile
curl https://raw.githubusercontent.com/windmill-labs/windmill/main/.env -o .env
docker compose up -d
Go to http://localhost - default credentials: admin@windmill.dev / changeme
Using an external database: Set DATABASE_URL in .env to point to your managed Postgres (AWS RDS, GCP Cloud SQL, Azure, Neon, etc.) and set db replicas to 0.
Kubernetes (Helm charts)
helm repo add windmill https://windmill-labs.github.io/windmill-helm-charts/
helm install windmill-chart windmill/windmill --namespace=windmill --create-namespace
See windmill-helm-charts for configuration options.
Cloud providers
Windmill works on AWS (EKS/ECS), GCP, Azure, Ubicloud, Fly.io, Render.com, Hetzner, Digital Ocean, and others. Rule of thumb: 1 worker per 1vCPU and 1-2 GB RAM.
OAuth, SSO & SMTP
Configure OAuth and SSO (Google Workspace, Microsoft/Azure, Okta) directly from the superadmin UI. See documentation.
License
The Community Edition is free to use internally. For commercial redistribution or managed services, contact sales@windmill.dev. See LICENSE and Pricing for details.
The "Community Edition" of Windmill available in the docker images hosted under ghcr.io/windmill-labs/windmill and the github binary releases contains the files under the AGPLv3 and Apache 2 sources but also includes proprietary and non-public code and features which are not open source and under the following terms: Windmill Labs, Inc. grants a right to use all the features of the "Community Edition" for free without restrictions other than the limits and quotas set in the software and a right to distribute the community edition as is but not to sell, resell, serve Windmill as a managed service, modify or wrap under any form without an explicit agreement.
The binary compilable from source code in this repository without the "enterprise" feature flag is open-source under the LICENSE-AGPLv3 License terms and conditions.
To re-expose directly any Windmill parts to your users as a feature of your product, with the exception of iframed public Windmill "apps", or to build a feature on top of "Windmill Community Edition" that you sell commercially or embed in a distributable product or binary, you must get a commercial license. Contact us at sales@windmill.dev if you have any questions. To do the same from the binary compiled from the source code in this repository without the "enterprise" feature flag, you must comply with the AGPLv3 license terms and conditions or get a commercial license from Windmill Labs, Inc.
To use Windmill "Community Edition" as is internally in your organization, or to use its APIs as is, you do NOT need a commercial license.
Integrations
In Windmill, integrations are referred to as resources and resource types. Each Resource has a Resource Type that defines the schema that the resource needs to implement.
On self-hosted instances, you might want to import all the approved resource types from WindmillHub. A setup script will prompt you to have it being synced automatically everyday.
Environment Variables
| Environment Variable name | Default | Description | Api Server/Worker/All |
|---|---|---|---|
| DATABASE_URL | The Postgres database url. | All | |
| WORKER_GROUP | default | The worker group the worker belongs to and get its configuration pulled from | Worker |
| MODE | standalone | The mode if the binary. Possible values: standalone, worker, server, agent | All |
| METRICS_ADDR | None | (ee only) The socket addr at which to expose Prometheus metrics at the /metrics path. Set to "true" to expose it on port 8001 | All |
| JSON_FMT | false | Output the logs in json format instead of logfmt | All |
| BASE_URL | http://localhost:8000 | The base url that is exposed publicly to access your instance. Is overriden by the instance settings if any. | Server |
| ZOMBIE_JOB_TIMEOUT | 30 | The timeout after which a job is considered to be zombie if the worker did not send pings about processing the job (every server check for zombie jobs every 30s) | Server |
| RESTART_ZOMBIE_JOBS | true | If true then a zombie job is restarted (in-place with the same uuid and some logs), if false the zombie job is failed | Server |
| NATIVE_MODE | false | Enable native mode: sets NUM_WORKERS=8, rejects non-native jobs (nativets, postgresql, mysql, etc.) | Worker |
| SLEEP_QUEUE | 50 | The number of ms to sleep in between the last check for new jobs in the DB. It is multiplied by NUM_WORKERS such that in average, for one worker instance, there is one pull every SLEEP_QUEUE ms. | Worker |
| KEEP_JOB_DIR | false | Keep the job directory after the job is done. Useful for debugging. | Worker |
| LICENSE_KEY (EE only) | None | License key checked at startup for the Enterprise Edition of Windmill | Worker |
| SLACK_SIGNING_SECRET | None | The signing secret of your Slack app. See Slack documentation | Server |
| COOKIE_DOMAIN | None | The domain of the cookie. If not set, the cookie will be set by the browser based on the full origin | Server |
| DENO_PATH | /usr/bin/deno | The path to the deno binary. | Worker |
| PYTHON_PATH | The path to the python binary if wanting to not have it managed by uv. | Worker | |
| GO_PATH | /usr/bin/go | The path to the go binary. | Worker |
| GOPRIVATE | The GOPRIVATE env variable to use private go modules | Worker | |
| GOPROXY | The GOPROXY env variable to use | Worker | |
| NETRC | The netrc content to use a private go registry | Worker | |
| PY_CONCURRENT_DOWNLOADS | 20 | Sets the maximum number of in-flight concurrent python downloads that windmill will perform at any given time. | Worker |
| PATH | None | The path environment variable, usually inherited | Worker |
| HOME | None | The home directory to use for Go and Bash , usually inherited | Worker |
| DATABASE_CONNECTIONS | 50 (Server)/3 (Worker) | The max number of connections in the database connection pool | All |
| SUPERADMIN_SECRET | None | A token that would let the caller act as a virtual superadmin superadmin@windmill.dev | Server |
| TIMEOUT_WAIT_RESULT | 20 | The number of seconds to wait before timeout on the 'run_wait_result' endpoint | Worker |
| QUEUE_LIMIT_WAIT_RESULT | None | The number of max jobs in the queue before rejecting immediately the request in 'run_wait_result' endpoint. Takes precedence on the query arg. If none is specified, there are no limit. | Worker |
| DENO_AUTH_TOKENS | None | Custom DENO_AUTH_TOKENS to pass to worker to allow the use of private modules | Worker |
| DISABLE_RESPONSE_LOGS | false | Disable response logs | Server |
| CREATE_WORKSPACE_REQUIRE_SUPERADMIN | true | If true, only superadmins can create new workspaces | Server |
| MIN_FREE_DISK_SPACE_MB | 15000 | Minimum amount of free space on worker. Sends critical alert if worker has less free space. | Worker |
| RUN_UPDATE_CA_CERTIFICATE_AT_START | false | If true, runs CA certificate update command at startup before other initialization | All |
| RUN_UPDATE_CA_CERTIFICATE_PATH | /usr/sbin/update-ca-certificates | Path to the CA certificate update command/script to run when RUN_UPDATE_CA_CERTIFICATE_AT_START is true | All |
Run a local dev setup
We recommend using Nix. See ./frontend/README_DEV.md for all options.
Frontend only
Uses the backend of https://app.windmill.dev with local frontend (hot-reload):
cd frontend
npm install
npm run generate-backend-client # or generate-backend-client-mac on Mac
npm run dev
Windmill available at http://localhost/
Backend + Frontend
See the ./frontend/README_DEV.md file for all running options.
- Start a local Postgres database using for instance the
start-dev-db.shscript which will make a database available atpostgres://postgres:changeme@localhost:5432/windmillThen run the migrations using the following command:This will also avoid compile time issue with sqlx'scargo install sqlx-cli env DATABASE_URL=<YOUR_DATABASE_URL> sqlx migrate runquery!macro. - (optional, linux only) Install nsjail and have it accessible in your PATH
- Install bun, deno and python3 (+ any languages you want to use), have the bins at
/usr/bin/bun,/usr/bin/deno, and/usr/local/bin/python3or set the corresponding environment variables. - (optional) Install the lld linker
- Go to
frontend/:npm install,npm run generate-backend-clientthenREMOTE=http://localhost:8000 npm run dev- You might need to set some extra heap space for the node runtime
export NODE_OPTIONS="--max-old-space-size=4096" - Create an empty
frontend/buildfolder usingmkdir frontend/build
- Go to
backend/:env DATABASE_URL=<YOUR_DATABASE_URL> RUST_LOG=info cargo run- You can specify any feature flag you want to enable, for example
cargo run --features pythonto enable the python executor.
- Windmill should be available at
http://localhost:3000
Contributors
Copyright
© 2023-2026 Windmill Labs, Inc.






