Learn how Skyvern and Steel differ in their key features, development activity, technology stack and community adoption, so you can decide which of these browser automation for ai tools is best for you.

Skyvern appears to have several advantages over Steel, particularly in popularity and growth. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Skyvern significantly outpaces Steel in community adoption with 22,744 stars compared to 7,475 stars on GitHub. This 3.0x difference suggests Skyvern has a much larger and more active community. In terms of developer contributions, Skyvern has 2,138 forks, indicating strong developer engagement.
Skyvern is growing faster, adding 522 stars in the last 30 days (+2.3%) against adding 142 stars for Steel (+1.9%). Skyvern is both larger and pulling further ahead.
Both projects show recent activity, with Skyvern last updated 21 hours ago and Steel 8 days ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Skyvern uses Python.
Both projects started around the same time, with Skyvern beginning 2 years ago and Steel 2 years ago.
The projects use different licenses: Skyvern is licensed under AGPL-3.0 while Steel uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Browser Automation for AI. However, they also have distinct specializations: Skyvern also focuses on Workflow Automation while Steel extends into Browser Automation.

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