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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.