Petri vs Split: What are the differences?
Developers describe Petri as "A/B Test and Feature Toggles system". Open source, holistic experiment system, that covers the lifecycle of product experimenting including A/B tests and feature toggles. On the other hand, Split is detailed as "*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.
Petri and Split can be primarily classified as "Feature Flags Management" tools.
Some of the features offered by Petri are:
- A/B Tests
- Feature Toggle
- Feature Flags
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
Petri is an open source tool with 240 GitHub stars and 28 GitHub forks. Here's a link to Petri's open source repository on GitHub.