AI Tools Scout
Open-source ToolsLLM ProjectsMCP ServersMethodology
AI Tools Scout

An open-source AI tools directory with clear use cases, visible source freshness, and maintenance evidence for anyone deciding what to try.

Explore
Open source AI projectsOpen source LLM projectsMCP servers list
More
SkillsContentAbout
Rankings use public ecosystem signals. Treat them as a starting point, then confirm license, setup, safety, and fit with the upstream project.
← Back to Leaderboard

Project comparison

Airflow vs Ray

Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.

Airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Best matched with other platform tools.

46.2K
Stars
+845
Weekly
88/100
Health
Ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Best matched with other platform tools.

42.5K
Stars
+72
Weekly
74/100
Health

Quick Take

Adoption

Airflow has the larger GitHub footprint with 46.2K stars.

Momentum

Airflow is currently growing faster at +845 stars this week.

Maintenance

Airflow has the stronger automated maintenance signal at 88/100. This is not a security or fit verdict.

Side-by-side evidence

Use these signals to narrow your choice, then confirm setup, license, and fit upstream.

SignalAirflowRay
Evidence statusBasic listing· 2026-10-04 09:17 UTCBasic listing· 2026-10-04 09:18 UTC
GitHub stars46.2K42.5K
Weekly growth+845+72
Health scoreStrong88/100Healthy74/100
Contributors4.5K1.6K
Commits per week166.087.6
Open issues1.8K3.5K
LanguagePythonPython
LicenseApache-2.0Apache-2.0
Last commit2026-07-22 15:42 UTC2026-05-11 23:54 UTC
Last release3.3.0ray-2.55.1

Weekly AI open-source movers

Get the fastest-growing projects, useful MCP servers, and technical reads in one weekly email.