Learn how Lightpanda 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
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Last 30 days
Last commit
Repository age
Version
License
Repository

Lightpanda appears to have several advantages over Steel, particularly in popularity, growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Lightpanda significantly outpaces Steel in community adoption with 34,116 stars compared to 7,509 stars on GitHub. This 4.5x difference suggests Lightpanda has a much larger and more active community. In terms of developer contributions, Lightpanda has 1,588 forks, indicating strong developer engagement.
Lightpanda is growing faster, adding 2,082 stars in the last 30 days (+6.5%) against adding 155 stars for Steel (+2.1%). Lightpanda is both larger and pulling further ahead.
Both projects show recent activity, with Lightpanda last updated 10 hours ago and Steel 12 hours ago.
Lightpanda uses Golang, Rust, Zig while Steel leverages JavaScript, CSS, Bash, Typescript, JSX.
Lightpanda has been in development longer, starting 4 years ago, compared to Steel which began 2 years ago. This 1.8-year head start suggests Lightpanda may have more mature features and established processes.
The projects use different licenses: Lightpanda 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, Browser Automation. However, they also have distinct specializations: Lightpanda also focuses on Scraping Platforms & SDKs.