7 Best Statsig Alternatives in 2026
Statsig is a powerful experimentation platform, but single-project Pro limits, $0.05/1K overage billing, and the 2025 OpenAI acquisition push many teams to look elsewhere. Here are seven alternatives worth evaluating.
Last updated May 2026.
Why teams look for Statsig alternatives
One project on Pro
Statsig Pro is limited to a single project. Teams managing multiple products or services hit the Enterprise pricing wall fast.
Overage billing surprises
Pro charges $0.05 per 1,000 events above 5M/month. A heavy launch week or traffic spike can meaningfully inflate your bill.
Advanced stats behind a paywall
CUPED variance reduction and sequential testing — Statsig's signature features — aren't available on the free Developer tier.
No self-hosting
All data is processed on Statsig's US-hosted infrastructure. Teams with data residency requirements have no alternative.
OpenAI acquisition uncertainty
Acquired by OpenAI in 2025, Statsig's roadmap as a standalone experimentation tool is now tied to OpenAI's priorities.
Steep learning curve
Users consistently note that Statsig requires data familiarity to use effectively — it's not a tool non-technical teammates can pick up quickly.
SignaKit
Best for predictable pricing with flags + experimentation + analytics
SignaKit's pricing is event-based with a key difference: flag evaluations happen locally in the SDK and never count toward your event limit. Only exposure events (one per user per flag per session) and custom metric events count — at flat per-million rates with no per-1K overage spikes. Multiple projects are included from Starter ($39/mo = 3 projects; Growth $119/mo = 15 projects), removing Statsig's single-project Pro restriction entirely.
Features
| Feature flags | ✓ |
| A/B testing | ✓All plans |
| Multi-armed bandit | ✓All plans |
| Custom event analytics | ✓Built-in |
| Slack notifications | ✓Starter+ |
| Statistical significance | ✓ |
| Multiple projects | ✓Starter+ |
| Free tier | ✓1M events/mo |
Pricing
| Plan | Price | Events/mo | Members |
|---|---|---|---|
| Free | $0 | 1M | 5 |
| Starter | $39/mo | 5M | 15 |
| Growth | $119/mo | 25M | 30 |
| Enterprise | Contact | Unlimited | Unlimited |
Pros
Flat predictable pricing with no per-1K overages, flag evaluations free, multi-armed bandit on all plans, multiple projects from Starter, Laravel SDK, Slack notifications, no acquisition uncertainty.
Cons
No CUPED or sequential testing (relevant for large-scale concurrent experiment programs), no session replay, fewer SDKs than Statsig (10 vs. 25+).
GrowthBook
Best for warehouse-native experimentation
GrowthBook takes a distinctive approach: instead of collecting its own event data, it connects to your existing data warehouse (BigQuery, Snowflake, Redshift, Postgres) and runs statistical analysis against your existing events. The result is no event-volume billing surprises, no data duplication, and full control over your metrics definitions. Open-source and free to self-host.
Pros
Warehouse-native (no double-counting, no event pipeline to maintain), open-source, strong statistical rigor (Bayesian and frequentist), generous free cloud tier, no per-event pricing.
Cons
Requires an existing data warehouse and event pipeline — it won't collect events for you. Feature flag management UI is less polished than Statsig's. More setup required than plug-and-play alternatives.
Pricing: Free (open-source self-hosted, or cloud up to 3 users). Pro cloud: $20/user/month. Enterprise: custom.
PostHog
Best all-in-one product analytics alternative
PostHog covers the same surface area as Statsig — feature flags, A/B testing, product analytics, session replay, and event tracking — and is open-source with a self-hosting option. It's trusted by a significant share of Y Combinator startups and has strong React and Next.js SDK support.
Pros
Open-source and fully self-hostable, generous free cloud tier (1M events/month), session replay and feature flags in the same platform, active community, strong developer documentation.
Cons
A/B testing isn't as statistically sophisticated as Statsig (no CUPED, no mutually exclusive experiments). Session replay storage costs can add up on high-traffic sites.
Pricing: Free (1M events/month on cloud). Paid: usage-based, starting around $0.00045/event after the free tier.
LaunchDarkly
Best for enterprise feature management and release governance
LaunchDarkly is the category leader in feature management. It has release pipelines, flag templates, custom roles, SAML SSO, an on-premise Relay Proxy, and 80+ integrations. Teams coming from Statsig primarily because of the single-project Pro limitation will find LaunchDarkly's project/environment model much more flexible.
Pros
Best-in-class release pipelines and governance, 25+ native SDKs, 80+ integrations, 99.99% uptime SLA, strong enterprise support, battle-tested at scale.
Cons
A/B testing is a paid add-on (not built in), per-seat + MAU pricing can be expensive at scale, no built-in analytics, cloud-only.
Pricing: Free (2 seats). Pro: $12/seat/month + MAU charges. Enterprise: custom (~$70k/yr minimum).
Flagsmith
Best open-source feature flags with self-hosting
Flagsmith is open-source and supports both self-hosted and managed cloud deployments — something Statsig's US-only infrastructure can't offer. It covers feature flags, remote config, and user targeting well. For teams whose primary need is reliable flag management rather than large-scale A/B testing, Flagsmith is a strong fit.
Pros
Open-source, full self-hosting for data residency requirements, good REST API, remote config alongside feature flags, transparent pricing.
Cons
Experimentation is limited — no CUPED, sequential testing, or advanced statistical features. UI is less polished than Statsig for complex targeting rules.
Pricing: Free self-hosted (unlimited). Cloud: free up to 50,000 requests/month, paid plans from $45/month.
Optimizely
Best for enterprise web and feature experimentation
Optimizely is one of the oldest names in A/B testing and has evolved into a full experimentation platform covering web experiments, feature flags, and content management. Its statistical engine is mature and designed for both technical and non-technical users — a meaningful contrast to Statsig's data-familiarity requirement.
Pros
Mature statistical engine, strong web experimentation tooling for marketing teams, enterprise-grade governance, WYSIWYG editor for no-code experiments.
Cons
Expensive — enterprise-only pricing, not publicly listed. Steeper learning curve. Feature flags feel bolted on compared to Statsig or LaunchDarkly. Heavy for developer-led workflows.
Pricing: Enterprise only, custom pricing. Not suitable for early-stage teams.
Eppo
Best for data science-led experimentation programs
Eppo is purpose-built for rigorous experimentation: CUPED variance reduction, sequential testing, ANOVA-based global lift measurement, and native data warehouse connections. It's the specialist's choice — less plug-and-play than Statsig, but with more statistical flexibility for teams that need it.
Pros
Deep statistical toolkit (CUPED, sequential testing, global lift, Bayesian options), warehouse-native design, strong for companies with existing data infrastructure, audit-trail and governance features.
Cons
No built-in event collection — you bring your own data. Limited feature flag management compared to Statsig. Enterprise pricing, not suitable for small teams. Requires data engineering investment.
Pricing: Enterprise only. Contact for pricing.
Side-by-side comparison
| Tool | Best For | Free Tier | A/B Testing | CUPED / Sequential | Multi-Armed Bandit | Multiple Projects |
|---|---|---|---|---|---|---|
| SignaKit | Flags + experimentation, predictable pricing | ✓1M events | ✓Included | ✕ | ✓All plans | ✓Starter+ |
| Statsig | High-volume experimentation at scale | ✓2M events | ✓ | ✓Pro+ | ✓ | Enterprise only |
| GrowthBook | Warehouse-native experiments | ✓ | ✓ | ✓ | ✕ | ✓ |
| PostHog | All-in-one product analytics | ✓ | ✓ | ✕ | ✕ | ✓ |
| LaunchDarkly | Enterprise feature governance | ✓2 seats | Add-on | ✕ | ✕ | ✓ |
| Flagsmith | Open-source self-hosting | ✓ | Limited | ✕ | ✕ | ✓ |
| Optimizely | Enterprise web + feature experiments | ✕ | ✓ | ✓ | ✕ | ✓ |
| Eppo | Data science-led programs | ✕ | ✓ | ✓ | ✕ | ✓ |
How to choose
Frequently asked questions
What is the biggest limitation of Statsig Pro?
Statsig Pro is limited to one project. Teams managing multiple products, services, or environments must move to Enterprise pricing. SignaKit Starter ($39/mo) includes 3 projects, and Growth ($119/mo) includes 15.
Does Statsig have a multi-armed bandit feature?
Yes — Statsig calls it Autotune. SignaKit also includes multi-armed bandit optimization on all plans, including the free tier. Neither requires an add-on purchase.
Is there a Statsig alternative with self-hosting?
GrowthBook, PostHog, and Flagsmith all offer self-hosted deployments. Statsig is cloud-only (US-hosted infrastructure only), which creates problems for teams with data residency requirements.
What happened with Statsig's OpenAI acquisition?
Statsig was acquired by OpenAI in 2025. The platform continues to operate, but its future roadmap as a standalone experimentation product is uncertain for teams not aligned with OpenAI's AI-first direction.
Which Statsig alternative has the best free tier?
Statsig's free Developer tier offers 2M events/month — higher raw volume than SignaKit's 1M. However, Statsig's advanced features like CUPED and sequential testing aren't available on the free plan. If you need multi-armed bandit and A/B testing on the free tier, SignaKit includes both.
Can I migrate from Statsig to SignaKit?
Yes. Feature flags are conditional logic in your codebase — install the SignaKit SDK, replicate your flags, and run both SDKs in parallel during the transition. For custom events, SignaKit's events SDKs (events-node, events-browser, events-react) replace Statsig's event tracking. Most teams complete a migration in 2–4 weeks.
Start free. No credit card required.
Free forever on the first million events. A/B testing and multi-armed bandit included on all plans.