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.
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Both Skyvern and Steel have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Skyvern significantly outpaces Steel in community adoption with 21,561 stars compared to 7,010 stars on GitHub. This 3.1x difference suggests Skyvern has a much larger and more active community. In terms of developer contributions, Skyvern has 1,989 forks, indicating strong developer engagement.
Both projects show recent activity, with Skyvern last updated 10 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.