Flagr vs Split: What are the differences?
Flagr: An open-source feature flagging and A/B testing tool. Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions; Split: *Split provides a unified solution for feature flags and experimentation *. 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.
Flagr and Split can be primarily classified as "Feature Flags Management" tools.
Some of the features offered by Flagr are:
- Makes the rollout process easy
- Supports feature flagging, A/B testing, and dynamic configuration
- Can run multi-variants experimentation
On the other hand, Split provides the following key features:
- 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
Flagr is an open source tool with 791 GitHub stars and 66 GitHub forks. Here's a link to Flagr's open source repository on GitHub.