Openlane – Open-source, developer-first platform for automated compliance, risk management, and built-in Trust Center.Learn how Autumn and Lago differ in their key features, development activity, technology stack and community adoption, so you can decide which of these subscription & billing management tools is best for you.
Last 30 days
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Last 30 days
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Lago appears to have several advantages over Autumn, particularly in popularity, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Lago significantly outpaces Autumn in community adoption with 10,324 stars compared to 2,637 stars on GitHub. This 3.9x difference suggests Lago has a much larger and more active community. In terms of developer contributions, Lago has 718 forks, indicating moderate developer engagement.
Autumn and Lago are moving at much the same rate, adding 25 stars and adding 119 stars respectively over the last 30 days (+1% vs +1.2%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Autumn last updated 12 hours ago and Lago 2 days ago.
Both tools share common technology foundations, being built with Bash. However, they differ in their additional technology choices: Autumn uses JavaScript, CSS, Typescript, JSX, Python, Next.js, Lua while Lago leverages Golang.
Lago has been in development longer, starting 4 years ago, compared to Autumn which began 2 years ago. This 2.9-year head start suggests Lago may have more mature features and established processes.
The projects use different licenses: Autumn 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 Subscription & Billing Management. However, they also have distinct specializations: Lago extends into Payment Infrastructure.
Lago provides self-hosting options for complete data control and customization, while Autumn may be primarily cloud-based or require different deployment approaches.
