Learn how Lightpanda and Skyvern 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 Skyvern, particularly in growth and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Both tools have similar popularity levels, with Lightpanda having 34,116 stars and Skyvern having 22,790 stars on GitHub. In terms of developer contributions, Skyvern has 2,140 forks, indicating strong developer engagement.
Lightpanda is growing faster, adding 2,082 stars in the last 30 days (+6.5%) against adding 267 stars for Skyvern (+1.2%). Lightpanda is both larger and pulling further ahead.
Both projects show recent activity, with Lightpanda last updated 10 hours ago and Skyvern 20 hours ago.
Lightpanda uses Golang, Rust, Zig while Skyvern leverages JavaScript, CSS, Bash, Typescript, JSX, Python.
Lightpanda has been in development longer, starting 4 years ago, compared to Skyvern which began 2 years ago. This 1.1-year head start suggests Lightpanda may have more mature features and established processes.
Both projects use the AGPL-3.0 license, providing identical terms for usage and distribution.
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 while Skyvern extends into Workflow Automation.