Skip to main content

EdgeWeave vs Apache Airflow

Airflow draws your code. EdgeWeave lets you edit the graph.

Both tools describe work as a graph of steps. The difference is which side you author: in Airflow you write Python and the UI shows the graph it produces; in EdgeWeave you build the graph and the code follows.

TopicApache AirflowEdgeWeave
How you authorYou write DAG files in Python. The web UI displays and monitors the resulting graph.You edit the graph on a canvas. The .weave file is the source, and you can drop into code when you want to.
What a step showsTask status, logs and run history.A live preview of the node’s result: tables, charts, maps or a 3D scene.
Where it runsA scheduler, a metadata database and workers that you deploy and operate.A desktop app that bundles its own Python. A built-in scheduler covers simple recurring runs.
Built forProduction batch pipelines run by a team: retries, backfills, SLAs, many integrations.Interactive exploration and building: data science, simulation and AI work you iterate on.
Iteration speedEdit code, deploy it, trigger a run.Change a node, press Run, look at the result on the graph.
CodeThe code is the product.Export a graph to a standalone Python script when you want it outside the app.

Choose Apache Airflow when

  • you run production pipelines across machines and need retries, backfills and alerting
  • your team already works in code review and CI for its pipelines
  • you need one of its many provider integrations

Choose EdgeWeave when

  • you want to see and shape the workflow, not read code to understand it
  • you are exploring data or models and want results on the graph as you go
  • you want a desktop tool with no scheduler, database or workers to set up

Using both. Prototype and check a workflow in EdgeWeave, then export it to Python and run that script as a task in your Airflow pipeline.

Based on each project's public documentation, reviewed October 2026. Tools change quickly; if something here is out of date, let us know and we will fix it.