Learn how Firecrawl and Lightpanda differ in their key features, development activity, technology stack and community adoption, so you can decide which of these scraping platforms & sdks is best for you.
Last 30 days
Last commit
8 hours agoRepository age
3 yearsVersion
v2.11.0License
AGPL-3.0Self-hosted
YesRepository
mendableai/firecrawl
Last 30 days

Both Firecrawl and Lightpanda 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.
Firecrawl significantly outpaces Lightpanda in community adoption with 199,599 stars compared to 41,580 stars on GitHub. This 4.8x difference suggests Firecrawl has a much larger and more active community. In terms of developer contributions, Firecrawl has 10,508 forks, indicating strong developer engagement.
Lightpanda is growing faster, adding 5,414 stars in the last 30 days (+15%) against adding 9,713 stars for Firecrawl (+5.1%). Lightpanda is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Firecrawl last updated 8 hours ago and Lightpanda 11 hours ago.
Both tools share common technology foundations, being built with Golang, Rust. However, they differ in their additional technology choices: Firecrawl uses JavaScript, CSS, Bash, Typescript, JSX, Python while Lightpanda leverages Zig.
Lightpanda has been in development longer, starting 4 years ago, compared to Firecrawl which began 3 years ago. This 1.2-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 Scraping Platforms & SDKs. However, they also have distinct specializations: Firecrawl also focuses on Web Crawlers while Lightpanda extends into Browser Automation for AI, Browser Automation.
Firecrawl provides self-hosting options for complete data control and customization, while Lightpanda may be primarily cloud-based or require different deployment approaches.