Introduction
GrowthBook is an open-source platform for feature flagging and A/B testing built for data teams, engineers, and product managers. It's great whether you're looking to just analyze experiment results or looking to make it easier to deploy code.
We would love to help you get started with GrowthBook. You can meet with us, or join our Slack
Quick Links
Our Goals
Companies spend thousands of hours building internal tools for feature flagging and experimentation (A/B testing). They do this in part because they want to run these systems on their own infrastructure, using their own data, and have them deeply integrated into their code.
GrowthBook gives data, engineering, and product teams the power of a customizable platform without needing to build it yourself.
We believe that feature flagging is the best way to deploy features and easily adopt an experimentation culture.
We believe A/B testing should sit on top of your existing data and metrics, wherever they live and however they are defined.
We believe in data transparency. You can export results as a Jupyter notebook and our Bayesian stats engine is developed out in the open on GitHub.
We are fanatical about performance. Our SDKs are crazy fast and light-weight and evaluate everything locally with no network requests.
We believe good ideas come from everywhere. GrowthBook gives you feature flags so its easy to test everything and make experimentation part of your process.
Documentation
Use the menu or the Previous/Next links at the bottom to navigate these docs.
Join us on Slack if you need help, want to chat, or are thinking of a new feature. We're here to help - and to make GrowthBook even better.