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
Self-hosted
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 35,639 stars compared to 7,708 stars on GitHub. This 4.6x difference suggests Lightpanda has a much larger and more active community. In terms of developer contributions, Lightpanda has 1,691 forks, indicating strong developer engagement.
Lightpanda is growing faster, adding 1,322 stars in the last 30 days (+3.9%) against adding 143 stars for Steel (+1.9%). Lightpanda is both larger and pulling further ahead.
Both projects show recent activity, with Lightpanda last updated 2 hours ago and Steel 13 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. However, they also have distinct specializations: Lightpanda also focuses on Scraping Platforms & SDKs, Browser Automation.
Steel provides self-hosting options for complete data control and customization, while Lightpanda may be primarily cloud-based or require different deployment approaches.