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GrowthBook
Feature flagging and experimentation platform for product and engineering teams.
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Latest GrowthBook changelog updates
Introduces Agentic Experience with Official Skills, App Assistant, and a full-featured CLI covering all public REST API endpoints.
Introduced Cmd+K universal search, product analytics explorers, AI Data Analyst (beta), multi‑environment feature rules, feature flag ramp schedules, and bandits without sticky bucketing.
Experiments: added post‑stratification, result filters & drill‑downs, plus a new Daily Participation metric type and more flexible fact‑table filtering UI.
Added Product Analytics preview and Metric Slices for auto‑breaking down metrics, plus Incremental Refresh to cut warehouse query costs.
Added AI‑powered workflow features (auto‑summarize results, SQL assistance, hypothesis help) and pre‑computed dimensions for faster querying.
Introduced GrowthBook MCP server enabling AI tools to create flags, query experiments and clean stale code, plus a managed ClickHouse warehouse with real‑time flag usage analytics.
Introduced Safe Rollouts, Time‑Series experiment results, and official Jira integration, expanding core experimentation capabilities.
Launch a new DevTools browser extension, an Experiment Decision Framework, a Power Calculator, and CUPED support for ratio metrics.
Added Experiment Templates, Custom Fields, Shareable Experiments, new metric types (Retention, Count Distinct, Max), Environment Forking, Contentful/Strapi integrations, and major updates to Node.js and Edge SDKs.
Added Multi‑Arm Bandits, metric groups, inline/user filters for fact metrics, pagination, North Star support, and new API endpoints for experiment snapshots; expanded fact table generation to GA4, Segment, and Rudderstack and enabled Ope...
Introduced a wave of new features: saved group project scoping, experiment significance webhooks, graphs on Fact Metric pages, metric impact view, Vercel Edge Config and Azure SCIM integrations, Vertica DB support, secondary metrics, dup...
Introduced major new features including Auto Fact Tables, Impact Analysis, REST endpoints for projects/environments, advanced search syntax, multi‑org improvements, performance upgrades, and JS SDK v1.1.0.
Added Edge SDK support for Cloudflare, Fastly, and Lambda plus major updates to SDKs across many languages; introduced a new Get Started flow and Yarn command for SDK reports
Added major new capabilities: URL redirect tests, feature flag approvals, quantile metrics (median, P99), project‑scoped attributes & environments, and a new HTML script‑tag SDK.
Added prerequisite feature flags, a new "No Access" role, JumpCloud SSO, and other auth/security enhancements.
Patched a high‑severity security vulnerability affecting self‑hosted GrowthBook instances without SSO.
Added sticky bucketing to JavaScript/React SDKs, reusable Saved Groups targeting, an Experiment Health tab, and a guided UI for live experiment edits.
Introduced team‑level permissions, default role changes and multi‑org/project improvements for finer access control.
Added Metric Fact Tables, SCIM Okta integration, remote evaluation mode for JavaScript/React SDKs, and REST API endpoints for creating/updating feature flags.
- Redesigned experiment page with new layout, searchable project selector, results table and partial results display when metric queries fail
UI overhaul with redesigned experiment page, left navigation, new targeting attributes UI, visual editor enhancements, and added confirmation step for kill switches
Added Visual Editor custom JS injection, inline CSS editing, JSON schema validation for flag values, SHA‑256 hashing for sensitive targeting attributes, and new Personal Access Tokens/readonly API keys
Multiple bug fixes across backend and frontend, including SSE validator hotfix, strictNullChecks enforcement, and removal of obsolete information schema
Added statistical analysis tools (multiple testing correction, sequential testing) and new REST API endpoints for saved groups with project‑scoped stats engine settings.
Launch Visual Editor 2.0, a new SQL editing experience and Databricks SQL integration for a richer experiment UI and data source support
Added a Frequentist stats engine, GrowthBook Proxy server, event webhooks, feature‑flag scheduling, SDK connections, and extensive UI enhancements (query tester, project drop‑down, deep‑linking, etc.)
Added many new features including programmatic REST API flag management, Java SDK, fine‑grained permissions, flag encryption, VS Code extension, a searchable docs site, test query button, ACE editor for targeting, and more.
Added Dark Mode, full ratio metric support (Delta method), reusable targeting groups, new attribution models, MS SQL and Snowflake proxy support, and enterprise SSO with updated data source UI.
Add new data source form with support for Matomo, Jitsu, Firebase, Heap, and Fresh Paint
Revamped experiments UI with CSV export, Google Cloud Storage image uploads, activity logs, and owner assignment for features/metrics.
Added ratio metrics, a new traffic‑split UI, Ruby SDK flag support, enhanced permissions/roles, syntax highlighting, and feature archiving.
Added custom user identifier types, multi‑experiment assignment queries, revision history/audit logs, and a new Flutter SDK
Added multiple customizable environments with per‑environment feature rules, namespaces for mutually exclusive experiments, and custom aggregations support for Mixpanel metrics.
Added new Golang and Android SDKs, extended feature support for PHP/Python SDKs, introduced environment toggles with API/webhook integration and a more intuitive UI for adding feature rules
Added Feature Flags, Chrome devtools extension, My Reports page, import experiments, custom GA delimiters, and custom SSL cert support for Postgres/Redshift.
Huge performance boost: SQL queries cut in half and remaining queries up to 10× faster, plus cache and metric query optimizations
Add mutually exclusive experiments support for JS/React SDKs and new features like automatic dimensionality reduction, Jupyter notebook export, and owner‑based experiment search
Added extensive experiment analysis features—including a built‑in Date dimension, full stats per dimension, min‑percent‑change highlighting, metric cloning, flexible user‑filtering, and sortable/filterable metric and past‑experiments pag...
Added Projects to group ideas/experiments, import/export config.yml, metric graph enhancements, and the ability to delete experiment phases
Add export of experiment results as a Jupyter notebook and new data quality thresholds per metric; SDK Dev Mode now supports both JavaScript and React SDKs, plus experiment status import and exact row view for queries
Added custom per‑metric risk thresholds, experiment‑level dimensions, configurable experiment length on import, and export of MongoDB data sources, metrics, and dimensions to a config.yml file.
Added YAML‑based configuration, S3 uploads, custom metric conversion windows, refresh‑frequency control, and SSL support for Postgres/Redshift.
Introduced sharing and presentation capabilities
Added PrestoDB/TrinoDB as supported datasources, bulk metric tagging, guardrail metrics, and Snowflake role customization.
Added webhook support and automatic 6‑hour experiment result refresh.
Added ClickHouse data source support and updated the Python client library
Add SQL data source configuration
Added improved Docker-based onboarding process.
Improved onboarding flow for new organizations.
Added beta Visual Editor allowing non‑technical users to create experiments without code
Simplify experiment targeting by updating User Groups functionality
Added a docs package to the monorepo, exposing documentation at docs.growthbook.io
Improved the implementation modal with higher‑quality code generation and added a PHP example
Added support for specifying JSON values for experiment variations.
First public open‑source version released