GrowthBook
Open source feature flags and A/B testing platform
Founded
2020
Starting Price
$0
Category
Analytics & BI
Last updated March 8, 2026
About GrowthBook
GrowthBook is an open-source platform for feature flagging and A/B testing that gives engineering and product teams full control over experimentation. It integrates with your existing data warehouse, supports advanced statistical methods (Bayesian, Frequentist, Sequential), and offers 24+ SDKs for seamless implementation across web and mobile.
Pros & Cons
Pros
- Open-source with self-hosting option for full data sovereignty
- Warehouse-native approach avoids data duplication and vendor lock-in
- Advanced statistical engines (Bayesian, Frequentist, Sequential) with CUPED support
- Generous free tier with unlimited flags and experiments
- Extensive SDK support across 24+ platforms and languages
Key Features
Feature Flags
Control application behavior remotely with boolean, number, string, and JSON flag types with advanced targeting rules
A/B Testing & Experimentation
Run unlimited A/B tests with support for Bayesian, Frequentist, and Sequential statistical engines
Visual Editor
Run A/B tests on your website without code changes using a no-code visual editor
Warehouse-Native Analytics
Connect directly to your data warehouse (BigQuery, Snowflake, Redshift, etc.) for experiment analysis without data duplication
Gradual Rollouts
Incrementally release features to a percentage of users and monitor impact before full deployment
CUPED Variance Reduction
Use CUPED and other advanced statistical techniques to detect smaller effects and run experiments faster
24+ SDKs
Native SDKs for React, Python, Go, Ruby, Android, iOS, Flutter, and many more platforms
Pricing
Starter
$0
- Unlimited feature flags
- Unlimited experiments
- Up to 10M API requests/month
- Community support
- Self-host or cloud
Best For
Progressive Feature Rollouts
Gradually release new features to increasing percentages of users while monitoring metrics and rolling back instantly if issues arise
Product Experimentation
Run rigorous A/B tests on pricing pages, onboarding flows, and UI changes with warehouse-native statistical analysis
Engineering Release Management
Decouple code deployment from feature releases using feature flags, enabling trunk-based development and safer releases
Data-Driven Decision Making
Connect to your existing data warehouse to analyze experiment results alongside all your product analytics without moving data
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