Question: Is there an open-source platform that offers self-hosting options and advanced statistical capabilities for A/B testing and feature flagging?

If you're looking for an open-source platform with self-hosting options and more advanced statistical abilities for A/B testing and feature flagging, GrowthBook is a good option. It includes customizable feature flagging and A/B testing tools so companies can control product changes and measure results from a single interface. GrowthBook's features include Bayesian and Frequentist statistic engines, a visual editor and lightweight SDKs, making it a good fit for product managers and developers who want to speed up their product development workflow.

Another good option is PostHog, an all-in-one product analytics, feature flag, session replay and A/B testing tool. It has tools for funnels, graphs, user paths and stickiness analysis, as well as A/B testing with goal setting and dynamic cohort support. PostHog can be integrated with several SDKs and data warehouses, and has a free tier and pricing that scales, so it's good for startups and growth-stage companies.

Split is another contender that combines feature flag control, software experimentation and continuous delivery to let teams release new features quickly and safely. It offers 100% feature-level observability and integrates with existing tools in many languages and stacks, so it's a good fit for product development teams trying to lower risk and improve their feature delivery process.

If you want a more complete feature management and experimentation tool, check out Statsig. It automates experiment analysis, manages feature flags and provides in-depth analytics to help teams make data-driven decisions. With its unified stack and flexible pricing tiers, Statsig is a good fit for teams that want to speed up experimentation velocity and optimize their features.