Learn how Swirl Search and Typesense differ in their key features, development activity, technology stack and community adoption, so you can decide which of these tools is best for you.
Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Last 30 days
Last commit
Repository age
Version
License
Self-hosted
Repository

Typesense appears to have several advantages over Swirl Search, particularly in popularity and maturity. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Typesense significantly outpaces Swirl Search in community adoption with 26,431 stars compared to 3,040 stars on GitHub. This 8.7x difference suggests Typesense has a much larger and more active community. In terms of developer contributions, Typesense has 962 forks, indicating moderate developer engagement.
Swirl Search and Typesense are moving at much the same rate, adding 7 stars and adding 125 stars respectively over the last 30 days (+0.2% vs +0.5%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Swirl Search last updated 25 days ago and Typesense 3 days ago.
Both tools share common technology foundations, being built with Bash. However, they differ in their additional technology choices: Swirl Search uses Python, SCSS, Ruby while Typesense leverages JavaScript, Typescript, C, Objective-C, C++.
Typesense has been in development longer, starting 10 years ago, compared to Swirl Search which began 4 years ago. This 5.3-year head start suggests Typesense may have more mature features and established processes.
The projects use different licenses: Swirl Search is licensed under Apache-2.0 while Typesense uses GPL-3.0. Consider the licensing requirements when choosing for your project.
Swirl Search also focuses on Enterprise Knowledge Search while Typesense extends into Search Engines.
Both Swirl Search and Typesense offer self-hosting capabilities, giving you full control over your data and infrastructure.