Hysterix Ratings (September 2025)
GitHub - Netflix/Hystrix: Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.
This page breaks down Hysterix ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Hysterix’s overall reputation. This data-driven overview will show you exactly how Hysterix is rated - including how it compares to competitors.
Hysterix's Overall Rating Summary
- Average Rating:3.5/5
- Total Reviews:16 reviews
- Sources:G2, Facebook
- Last updated:September 1, 2025
G2
FacebookWhat is Hysterix?
Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services, and 3rd party libraries, stop cascading failure, and enable resilience in complex distributed systems where failure is inevitable. It offers features such as thread and semaphore isolation with circuit breakers, real-time monitoring and configuration changes, and concurrency-aware request caching with automated batching. Hystrix is currently in maintenance mode, with Netflix recommending the use of more adaptive implementations like resilience4j for new projects.
🤔 Hysterix vs Competitors: How Do Ratings Compare?
Check out Hysterix AlternativesFrequently Asked Questions
How many stars is Hysterix rated?
Hysterix has an average star rating of 3.5 out of 5 stars based on average of 16 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Hysterix public reviews pages on platforms: G2, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Hysterix is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.