Learn how Kestra and Mage differ in their key features, development activity, technology stack and community adoption, so you can decide which of these etl & data integration tools is best for you.
Last 30 days
Last commit
5 hours agoRepository age
7 yearsVersion
v2.0.7License
Apache-2.0Self-hosted
YesRepository
kestra-io/kestra
Last 30 days
Last commit
3 days agoRepository age
4 yearsVersion
0.9.80License
Apache-2.0Self-hosted
YesRepository
mage-ai/mage-ai
Kestra appears to have several advantages over Mage, particularly in popularity, growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Kestra significantly outpaces Mage in community adoption with 30,000 stars compared to 8,837 stars on GitHub. This 3.4x difference suggests Kestra has a much larger and more active community. In terms of developer contributions, Kestra has 3,477 forks, indicating strong developer engagement.
Kestra is growing faster, adding 1,632 stars in the last 30 days (+5.8%) against adding 11 stars for Mage (+0.1%). Kestra is both larger and pulling further ahead.
Both projects show recent activity, with Kestra last updated 5 hours ago and Mage 3 days ago.
Both tools share common technology foundations, being built with JavaScript, Bash, Typescript, JSX, Python, SCSS. However, they differ in their additional technology choices: Kestra uses Vue, Java while Mage leverages CSS, Next.js, R.
Kestra has been in development longer, starting 7 years ago, compared to Mage which began 4 years ago. This 2.8-year head start suggests Kestra may have more mature features and established processes.
Both projects use the Apache-2.0 license, providing identical terms for usage and distribution.
Both tools serve similar use cases in ETL & Data Integration, Workflow Orchestration.
Both Kestra and Mage offer self-hosting capabilities, giving you full control over your data and infrastructure.