Open source alternative to LaunchDarkly, Optimizely and Statsig
Last verified
Manage feature flags and warehouse-native experiments with a self-hosted open-core platform that ties releases to product impact.
GrowthBook lets teams define metrics against their existing data warehouse and connect those results to feature flag rollouts.
Skip it if your team has no event pipeline or wants a fully managed analytics suite with minimal SQL involvement.
Teams can self-host flag infrastructure, use SDKs across services, and automate workflows through APIs and webhooks.
Choose a managed flag vendor if uptime responsibility and SDK support should sit fully with an external provider.
Feature delivery and experimentation often split across multiple paid tools: one for flags, one for A/B tests, one for analytics, and another for data warehouse analysis. That fragmentation makes it harder to connect releases to product impact, and per-seat or event-based pricing can punish teams as usage grows.
Teams with strong data infrastructure also need experimentation logic that respects their metric definitions. If metrics live in a warehouse, exporting data into a vendor dashboard creates governance and accuracy problems.
GrowthBook supports advanced targeting, gradual rollouts, and experiments, so teams can release changes to segments before full production exposure.
The README lists 24 SDKs, including React, Python, Android, and iOS, which helps teams run consistent flags across web, backend, and mobile surfaces.
GrowthBook queries 11 data sources, including BigQuery, Snowflake, Databricks, Redshift, and ClickHouse, so experiment analysis can use existing warehouse data.
GrowthBook documents CUPED, sequential testing, Bayesian methods, post-stratification, bandits, and SRM checks for teams that need more than basic conversion-rate comparisons.
Built-in analytics, webhooks, and a REST API let teams build dashboards and automate flag workflows around the same experimentation data.
GrowthBook and LaunchDarkly both support feature flags and controlled rollouts, but GrowthBook adds warehouse-native experimentation and a self-hosted path. LaunchDarkly is a managed proprietary feature management service with a mature hosted operations model.
GrowthBook is the better fit when a team wants feature flags tied to its own warehouse metrics and wants the option to self-host. LaunchDarkly is still the safer choice when the organization prioritizes vendor-managed reliability, enterprise support, and a fully hosted flag service over data ownership.
Self-host GrowthBook with Docker Compose when the team wants a local evaluation path or a private deployment.
```bash
git clone https://github.com/growthbook/growthbook.git
cd growthbook
docker compose up -d
```Yes. The README includes a Docker Compose quick start and links to full self-hosting instructions.
No. GrowthBook combines feature flags, experimentation, product analytics, metric definitions, APIs, and warehouse-native analysis.
GrowthBook is open core. The project states that most code is MIT licensed, with separate commercial licensing for some enterprise directories.
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