Learn how Hercules and Keploy differ in their key features, development activity, technology stack and community adoption, so you can decide which of these automated testing tools is best for you.
Last 30 days
Last commit
Repository age
Version
License
Repository

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

Keploy appears to have several advantages over Hercules, particularly in popularity, activity, maturity and features. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Keploy significantly outpaces Hercules in community adoption with 18,456 stars compared to 1,156 stars on GitHub. This 16.0x difference suggests Keploy has a much larger and more active community. In terms of developer contributions, Keploy has 2,354 forks, indicating strong developer engagement.
Hercules is growing faster, adding 41 stars in the last 30 days (+3.7%) against adding 54 stars for Keploy (+0.3%). Hercules is the smaller project of the two, so it is closing the gap rather than extending a lead.
Keploy shows more recent development activity with its last commit 10 hours ago, while Hercules was last updated 1 month ago. This suggests Keploy is being more actively maintained.
Both tools share common technology foundations, being built with Bash, Python. However, they differ in their additional technology choices: Hercules uses JavaScript while Keploy leverages Golang.
Keploy has been in development longer, starting 5 years ago, compared to Hercules which began 2 years ago. This 2.9-year head start suggests Keploy may have more mature features and established processes.
The projects use different licenses: Hercules is licensed under AGPL-3.0 while Keploy uses Apache-2.0. Consider the licensing requirements when choosing for your project.
Both tools serve similar use cases in Automated Testing. However, they also have distinct specializations: Hercules also focuses on Low-Code/No-Code.
Keploy provides self-hosting options for complete data control and customization, while Hercules may be primarily cloud-based or require different deployment approaches.