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.
Last 30 days
Last commit
12 hours agoRepository age
3 yearsVersion
v1.0.57License
AGPL-3.0Self-hosted
YesRepository
skyvern-ai/skyvern
Last 30 days
Last commit
4 days agoRepository age
2 yearsVersion
v0.5.5-betaLicense
Apache-2.0Self-hosted
YesRepository
steel-browser
Both Skyvern and Steel have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Skyvern leads in popularity with 23,361 stars vs 7,937 stars for Steel. The 194% higher star count indicates stronger community adoption. In terms of developer contributions, Skyvern has 2,233 forks, indicating strong developer engagement.
Steel is growing faster, adding 169 stars in the last 30 days (+2.2%) against adding 197 stars for Skyvern (+0.9%). Steel is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Skyvern last updated 12 hours ago and Steel 4 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 3 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.
Both Skyvern and Steel offer self-hosting capabilities, giving you full control over your data and infrastructure.