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Flagr vs Bullet Train: 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; Bullet Train: Manage feature flags across web, mobile and server side applications. Manage feature flags across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features.
Flagr and Bullet Train 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, Bullet Train provides the following key features:
- Manage features without deployments
- Powerful user segmentation
- Customise Features
Flagr is an open source tool with 1.08K GitHub stars and 99 GitHub forks. Here's a link to Flagr's open source repository on GitHub.
Pros of Bullet Train
Pros of Flagr
- Open Source3
- Multi-variant1