Learn how Hyperswitch and Lago differ in their key features, development activity, technology stack and community adoption, so you can decide which of these payment infrastructure tools is best for you.
Last 30 days
Last commit
12 hours agoRepository age
4 yearsVersion
v1.128.0License
Apache-2.0Repository
juspay/hyperswitch
Last 30 days
Last commit
14 hours agoRepository age
5 yearsVersion
v1.55.0License
AGPL-3.0Self-hosted
YesRepository
getlago/lago
Both Hyperswitch and Lago 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.
Hyperswitch significantly outpaces Lago in community adoption with 45,583 stars compared to 10,728 stars on GitHub. This 4.2x difference suggests Hyperswitch has a much larger and more active community. In terms of developer contributions, Hyperswitch has 6,570 forks, indicating strong developer engagement.
Hyperswitch and Lago are moving at much the same rate, adding 315 stars and adding 83 stars respectively over the last 30 days (+0.7% vs +0.8%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Hyperswitch last updated 12 hours ago and Lago 14 hours ago.
Both tools share common technology foundations, being built with Bash. However, they differ in their additional technology choices: Hyperswitch uses JavaScript, CSS, Typescript, Rust while Lago leverages Golang.
Both projects started around the same time, with Hyperswitch beginning 4 years ago and Lago 5 years ago.
The projects use different licenses: Hyperswitch is licensed under Apache-2.0 while Lago uses AGPL-3.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Payment Infrastructure. However, they also have distinct specializations: Hyperswitch also focuses on Fintech Infrastructure while Lago extends into Subscription & Billing Management.
Lago provides self-hosting options for complete data control and customization, while Hyperswitch may be primarily cloud-based or require different deployment approaches.