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Flaggr vs Statsig
Experimentation-first — flags bundled into a product-analytics platform
Statsig leads with experimentation — feature flags are one surface of a broader stats platform. If your primary need is rigorous A/B testing with a managed stats engine, it's a serious contender.
Side by side
| Area | Flaggr | Statsig | |
|---|---|---|---|
| Licensing | SDKs, CLI and Terraform provider are MIT; the platform's source code isn't public (self-hosting on request) | Proprietary SaaS; SDKs ISC | |
| Protocols | REST, Connect-RPC, gRPC-Web, OFREP, SSE | REST + SDK | flaggr |
| Experimentation | Experiments, bandits, toggle-impact analysis | Industry-leading stats engine | them |
| Observability | OTel + Prometheus + Grafana built in | Built-in product analytics | |
| Self-hosting | Available on request | Not available | flaggr |
| AI agent support | MCP server, local and hosted at flaggr.dev/mcp (Pro and Enterprise plans) | MCP server (Cursor, Claude Code, Codex, ChatGPT) | |
| Pricing | Free tier; Pro $49/month; custom Enterprise | Free Developer plan; paid plans priced by event volume; flag checks unlimited on every plan |
Where Flaggr leads
- Multi-protocol by design: REST, Connect-RPC, gRPC-Web, OFREP, and SSE streaming
- Live public playground — toggle demo flags on flaggr.dev and watch Flaggr's evaluation engine answer, no signup
Where Statsig fits better
Honest cases — we'd rather you pick the right tool.
- Experimentation rigor is the primary need — Statsig's stats engine is genuinely deeper
- You want flags + product analytics + experiments in one managed SaaS
- Statsig strengths: best-in-class experimentation engine — sequential testing, cuped, advanced stats
Common questions
Does Flaggr replace Statsig for experimentation?
Partially — Flaggr has experiments, multi-armed bandits, and toggle-impact analysis, which covers most flag-adjacent experimentation. Statsig's stats engine (CUPED, sequential testing) is deeper for dedicated experimentation programs.
Why pick Flaggr if Statsig has more experiment features?
Independence. Flaggr implements OFREP, so OpenFeature SDKs evaluate its flags through OpenFeature's own OFREP provider, and self-hosting is available on request. For flag management itself, Flaggr's multi-protocol surface is broader.
Can I use Flaggr with my existing analytics?
Yes — Flaggr emits evaluation events and metrics you can pipe to any analytics stack. It doesn't assume it owns your analytics.
Try Flaggr in front of you
The playground on the home page evaluates its demo flags live with Flaggr's evaluation engine — or follow the quick start to evaluate your first flag.
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