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Feature flags as a service for data-driven teams: Split automatically tracks changes to key metrics during every feature rollout. Split serves billions of impressions, helping organizations of all sizes to rapidly turn ideas into products. | It is an implementation of Feature Toggle pattern : Enable and disable features or your applications at runtime thanks to dedicated web console, REST API, JMX or even CLI. It handle also properties and provide generic interfaces. |
Targeted Feature Release - Easily target any feature, anywhere in the stack, to the right users based on any attribute you have access to, from demographic data to in-the-browser metrics;
Foster a culture of continuous improvement: Analyze the impact of every feature on hundreds of business, product, and operational metrics in real time;
Rigorous statistical analysis:
Split’s statistics engine provides causal analysis and guards against misleading results;
Easy-to-use Web Console - Split's UI gives anyone on the team the power to target feature releases, ramp up features to your customers, and instantly kill problem features | Feature Toggle; Role-based Toggling; Strategy-based Toggling; AOP-driven Toggling; Features Monitoring; Web Console; Wide choice of Databases; Spring Boot Starter; Command Line Interface |
Statistics | |
GitHub Stars - | GitHub Stars 1.4K |
GitHub Forks - | GitHub Forks 286 |
Stacks 119 | Stacks 7 |
Followers 121 | Followers 16 |
Votes 2 | Votes 0 |
Pros & Cons | |
Pros
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Integrations | |

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