GravityKit
GravityKit folds every GravityView extension into one Pro plugin.
A side-by-side editorial comparison of Apache Airflow and Windmill — release velocity, themes, recent moves, and the top alternatives to consider.
Airflow's Go, Java and TypeScript SDKs all reach 1.0 on the same day.
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
Windmill keeps turning AI clients into the place you build and run its workflows.
Windmill has spent the last six weeks wiring AI into every layer: standalone agents, compaction memory, an AI decision step, Slack-answering agents, and a single /api/mcp endpoint that lets Claude, ChatGPT or Cursor write, test and deploy workspace code. Alongside that it is formalizing who can do what, with default Developer and Operator roles and seat-priced operator build rights. The latest release, Tailwind v4 compilation for full-code apps, is frontend plumbing that makes those apps easier to style.
On November 13 Apache Airflow released stable 1.0.0 SDKs for Java, TypeScript and Go within an hour. The Java SDK authors Dags natively, with dependencies, task groups, branching, Dag triggers and the Variable and task state APIs, serialized to the same format as Python Dags. The Go and TypeScript 1.0 releases are mostly last fixes after their betas. The Amazon provider 9.40.0 also went final.
Airflow 3.4 made non-Python Dags possible as an experiment; a week later the language SDKs are declared stable. The project is turning its scheduler into a runtime that teams in Java, Go and TypeScript shops can adopt without writing Python. Provider releases keep their usual batched cadence underneath.
Expect the experimental Dag Importer and Task Loops from 3.4 to move toward stable in a 3.5 release, and SDK patch releases as first production users report issues.
Windmill has spent the last six weeks wiring AI into every layer: standalone agents, compaction memory, an AI decision step, Slack-answering agents, and a single /api/mcp endpoint that lets Claude, ChatGPT or Cursor write, test and deploy workspace code. Alongside that it is formalizing who can do what, with default Developer and Operator roles and seat-priced operator build rights. The latest release, Tailwind v4 compilation for full-code apps, is frontend plumbing that makes those apps easier to style.
The direction is clear: Windmill wants to be the execution backend that AI clients drive, not just a UI people click through. MCP moved from a tool list to a build-and-deploy surface, then to interactive cards inside the chat. The roles and seat changes suggest it is preparing to price the wider set of people who can now build through AI.
Expect more of the deploy and review lifecycle to surface inside MCP clients, and finer-grained role controls over which MCP tools each role gets.
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Apache Airflow or Windmill.
GravityKit folds every GravityView extension into one Pro plugin.
Payload's v4 beta.9 keeps every past image crop and raises the Node floor again.
Nautobot 3.3 alpha 2 adds test helpers and a cable location filter after 3.2.9's token-leak fix.
Clair 4.10 RC can read SBOMs to match Java vulnerabilities.
Shuffle tags builds almost daily, but the notes are empty.
KrakenD's community edition is shipping only dependency bumps.
See all Apache Airflow alternatives → · See all Windmill alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Apache Airflow is currently shipping more aggressively (velocity 7.5 vs 5.0), with 1 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Apache Airflow is currently shipping more aggressively (velocity 7.5 vs 5.0), with 1 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
Top Apache Airflow alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Apache Airflow alternatives" section above for the current picks, or visit /alternatives/apache-airflow for the full list with editorial commentary on each.
Top Windmill alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "Windmill alternatives" section above for the current picks, or visit /alternatives/windmill for the full list with editorial commentary on each.