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Best Statsig Alternatives

Reviewed byRoman K

3 alternatives to Statsig in A/B Testing & Experiments, compared by pricing, DX grade, security, and vendor lock-in.

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Currently using

Statsig

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Feature flags and product experimentation

Pricing: freemium, from $0/mo
#1

GrowthBook

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Pricing
freemium ($20+/mo)
GitHub Stars
7.9k
Weekly Downloads
724.0k
Category
A/B Testing & Experiments
#2

LaunchDarkly

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Pricing
paid ($10+/mo)
Weekly Downloads
2.5M
Category
A/B Testing & Experiments
#3

Eppo

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Pricing
contact
Category
A/B Testing & Experiments

Pricing and traction at a glance

Of the 3 alternatives listed, 3 are tracked with full data: 1 keep a free plan. Paid entries run from $10/mo (LaunchDarkly) to $20/mo (GrowthBook). GrowthBook carries the most GitHub traction with 7,930 stars. Switching cost is usually driven by lock-in, not by the sticker price.

ToolPricingFree planGitHub stars
GrowthBookfreemium — from $20/moyes7,930
LaunchDarklypaid — from $10/mono
Eppocontactno

FAQ

What are the best Statsig alternatives in 2026?

The top alternatives to Statsig are GrowthBook, LaunchDarkly, Eppo. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Statsig?

Several Statsig alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Statsig alternatives are tracked here?

3 in the A/B Testing & Experiments category, compared on price difference, lock-in risk and developer experience where editorial data exists.

Frequently asked questions

What are the best Statsig alternatives in 2026?

The top alternatives to Statsig are GrowthBook, LaunchDarkly, Eppo. Each offers different trade-offs in pricing, developer experience, and lock-in risk.

Is there a free alternative to Statsig?

Several Statsig alternatives offer free tiers or self-hosted options: check individual pricing pages for current free tier availability.

How many Statsig alternatives are tracked here?

3 in the A/B Testing & Experiments category, compared on price difference, lock-in risk and developer experience where editorial data exists.