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Flyte vs Windmill

Flyte logo

Flyte

8.0#2 in workload automation softwareFree plan
Free planWebAPILinuxSelf-hosted
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Windmill logo

Windmill

8.3#1 in api integration platformsFrom $120 a month
Free planWebAPILinuxSelf-hosted
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What both publish

FactFlyteWindmill
CLIFlytectl is a Go-based cross-platform command-line client for FlyteAdmin, with Homebrew and shell-script installation instructions.The wmill CLI supports listing, retrieving and creating scripts, flows, apps, resources, variables, schedules, folders and triggers as a shell API client.
Documentation depthThe current documentation includes version selectors for Flyte 2 and Flyte 1 plus guides covering tasks, apps, agents, integrations and CI/CD deployment.Documentation covers scripts, flows, apps, local development, CLI, SDKs, integrations, deployment, authentication, security and operations.
IntegrationsThe Flyte site lists integrations including Apache Spark, Ray, PyTorch Elastic, BigQuery, Snowflake, Weights & Biases, OpenAI Agents SDK, LangGraph, CrewAI, Pydantic AI, MLflow, Dask, and Databricks.Windmill Hub lists more than 200 resource types, including Google services, GitHub, GitLab, Slack, Microsoft Teams, AWS, S3, BigQuery, ClickHouse, Datadog and Discord.
Rating on G24.7 out of 5 from 11 reviews, but the G2 listing describes Flyteai.com sales-coaching software rather than Flyte OSS.5.0 out of 5 from 2 reviews

Flyte plans

  • Flyte OSSFree
  • Team$950 a month
  • Union.ai Team (enterprise Flyte platform)$950 a month
  • EnterprisePriced on request

Windmill plans

  • Free and Open-sourceFree
  • Enterprise$120 a month
  • Enterprise example configuration$170 a month

Pick Flyte if…

Flyte suits teams building AI workflows for training, serving, or agents, particularly those needing dynamic execution and recovery from infrastructure failures. It offers local devbox and cluster deployment options.

Pick Windmill if…

Windmill suits teams building internal tools and workflows who want script-based or low-code development options. Its language support and self-hosting may also suit teams with established development and deployment workflows.

Charts they share