GrowthBook core
An open-core feature flag and experiment platform with MIT core code, commercial directories, webhooks and a REST API.
Use when: You have an experiment hypothesis, assignment plan and trustworthy outcome events.
86 selected resources · 2026-10-09
Evaluate changes against a defined comparison and outcome.
Check assignment, event identity and statistical assumptions; feature delivery alone is not an experiment.
An open-core feature flag and experiment platform with MIT core code, commercial directories, webhooks and a REST API.
Use when: You have an experiment hypothesis, assignment plan and trustworthy outcome events.
An open-source feature-flagging platform for controlling feature releases and configuration.
Use when: Fits teams that need progressive delivery and runtime configuration across multiple deployment environments.
An automated testing platform that generates and maintains visual frontend browser tests.
Use when: Good fit for frontend teams wanting broad regression coverage without manually authoring every browser test.
Kubernetes-native continuous testing platform: runs and orchestrates API, end-to-end, integration, performance and other tests inside Kubernetes and connects them to CI/CD; the commercial control plane adds centralized dashboard, multi-cluster management, governance and AI capabilities.
Use when: Platform engineering and QA teams running Kubernetes who need one execution/orchestration layer for heterogeneous tests across clusters and CI/CD, especially teams wanting centralized visibility and governance.
Mutiny automates growth engineering and personalized buyer experiences to help companies turn wasted marketing spend into revenue.
Use when: Evaluate Mutiny against a defined AI website personalization and revenue marketing workflow and stated operating requirements.
Combine collection, experimental control and qualitative feedback around one useful product action.
Choose an editorial system, list manager and delivery owner deliberately.
Connect publishing, crawl diagnosis and a sustainable social contribution plan.
Compare verified open-source cores and community editions across categories, including license boundaries and operating effort.
A selected library for SaaS, AI and developer-tool founders. Source-backed observations are separate from our advice; inclusion is not a ranking or a tested performance claim.