What is the best Statsig alternative?

It depends on what you used Statsig for. For its core strength - statistical experimentation - GrowthBook is the closest match, and it's open source. If you want experiments coupled to product analytics, PostHog is the pick. If you were mostly using Statsig's free flags, LaunchDarkly or Flagsmith cover flags without the ownership question. There's no single winner, only the closest match to your use case.

Did OpenAI acquire Statsig?

Yes. OpenAI acquired Statsig on 2 September 2025 for a reported ~$1.1 billion in an all-stock deal, and founder Vijaye Raji became OpenAI's CTO of Applications. Statsig continues to operate independently from its Bellevue office and serve existing customers. The concern for new adopters isn't that anything has broken - it's roadmap uncertainty for a product whose owner now has much larger priorities.

Is it still safe to use Statsig after the OpenAI acquisition?

For now, nothing has changed operationally - the product still ships, the free tier is still generous, existing customers are still served. The real question is multi-year. When a product is absorbed by a company as large and fast-moving as OpenAI, you can't tell from outside whether the standalone offering stays a priority or slowly becomes internal infrastructure. That's a risk to price in, not a reason to panic.

What's the closest open-source alternative to Statsig?

GrowthBook. It's the experimentation heavyweight of the open-source world - MIT-licensed core, warehouse-native, with a real stats engine (CUPED, sequential testing, Bayesian, bandits, SRM checks). The self-hosted edition runs unlimited users for free. The trade is that it needs a properly instrumented data warehouse and someone comfortable with the statistics, where Statsig is more turnkey.

4 Statsig Alternatives to Weigh Now That OpenAI Owns It (2026)

Let’s be clear up front: Statsig is a genuinely excellent product. Its experimentation engine, built by ex-Facebook engineers to mirror Facebook’s internal stack, is the strongest in this category. Its billing model is the friendliest in the space for flag-heavy teams - flag and config checks are unlimited and free on every tier, because it monetizes analytics events instead. The free tier is generous (2M events, 50,000 session replays, no card), and Pro is a predictable flat $150/mo. On the merits, it’s one of the best tools here.

So why an alternatives page? One reason, and it’s not about the product. On 2 September 2025, OpenAI acquired Statsig for a reported ~$1.1 billion in an all-stock deal, and founder Vijaye Raji became OpenAI’s CTO of Applications. Statsig still runs independently from its Bellevue office and still serves customers - nothing has broken. But if you’re adopting it today, you’re making a multi-year bet on a product whose owner now has much larger priorities.

The honest way to frame the risk: it’s roadmap uncertainty, not failure. Does the standalone product stay a priority? Does pricing hold? Does the independent offering keep getting invested in, or does it slowly become OpenAI’s internal infrastructure? None of that is decided, and none of it is answerable from the outside. That’s enough for a lot of teams to want a shortlist of alternatives before they commit. Here are four, matched to what you were using Statsig for.

The short version

Tool	Best for	Starting price	Experimentation	Open source
Statsig	Experiment-first, free flags	$0	Strongest here	No (SDKs only)
GrowthBook	The closest experimentation match	$0 self-hosted	Full stats engine	Yes (MIT)
PostHog	Experiments plus analytics	$0	Second only to Statsig	Yes (MIT)
LaunchDarkly	Enterprise-grade flags	Usage-based	Add-on, gated	No
Flagsmith	Open-source self-hosted flags	$0 / $40/mo annual	Basic	Yes (BSD-3)

If you want the experimentation, without the ownership question: GrowthBook

This is the closest like-for-like swap, because it attacks Statsig’s core strength - real statistical experimentation - and answers the ownership worry at the same time by being open source. GrowthBook is the experimentation heavyweight of the open-source flag world. The stats engine is the real thing: CUPED for variance reduction, sequential testing, Bayesian analysis, multi-arm bandits, and SRM checks. On statistical ambition, GrowthBook and Statsig are peers - and GrowthBook’s core is MIT-licensed, which no acquisition can take away.

It’s warehouse-native - it queries the BigQuery, Snowflake or Databricks warehouse you already run rather than ingesting a copy of your events, so your data never leaves your infrastructure. Pricing is friendly: Cloud Starter is $0 for 3 users, Cloud Pro is $40 per seat per month for up to 50 users, and the self-hosted MIT edition runs unlimited users for $0. It’s a Y Combinator company with a reported $22.6M Series A behind it.

The trade versus Statsig is turnkey-ness. GrowthBook needs a properly instrumented data warehouse to deliver its value, and the statistics have a genuine learning curve - reviews cite an engineer-first UI and thorough-but-hard-to-navigate docs. Statsig is more of a batteries-included platform. If you have data maturity and want experimentation you own outright, GrowthBook is the swap. If you don’t, weigh the setup burden honestly.

If your experiments live next to your analytics: PostHog

Part of Statsig’s appeal is that flags, experiments, analytics and session replay sit in one platform. PostHog covers that same all-in-one brief from the analytics side. It’s a product-analytics suite - events, funnels, session replay, surveys - with feature flags and experiments built in, and on experimentation depth it lands second only to Statsig in this set.

Its distinctive advantage is integration: experiments read directly from your product analytics, so the metrics you test against are the same events you already track, with no piping data between a flag tool and an analytics tool. Flags are cheap - the first 1M requests a month are free, then fractions of a cent - and experiments draw from the same meter. It’s open source under MIT, and it raised a Series E at a reported $1.4 billion valuation in October 2025, so it’s well-funded and independent.

Two honest cautions. The MIT self-host is officially unsupported - no guarantees, no tagged releases - so don’t treat it as an enterprise self-host path. And each product bills separately, so total spend can climb across analytics, replay and surveys even while flags stay cheap. For an analytics-led team that wants experiments coupled to real metrics, PostHog is the natural landing spot.

If you were really there for the flags: LaunchDarkly

Plenty of teams picked Statsig because flag checks are free, and use the experimentation lightly or not at all. If flags are your actual center of gravity, the deepest pure-flag platform is LaunchDarkly. It has the best targeting in the category, guarded releases that automatically roll back on a bad metric, and around 38 SDKs - the broadest coverage available, with a G2 of 4.5 across 681 reviews.

The reason to hesitate is the same one that makes people leave it: the price. LaunchDarkly bills $10 per service connection per month plus $8.33 per 1,000 client-side MAU, charged on your highest-volume context kind - so devices and anonymous sessions can dwarf your user count. Vendr’s contract data puts the median around $72,000 a year (ranging $19,500 to $165,700), and renewals are reported to jump. This is the exact opposite of Statsig’s free-flags model. You’d move for depth and enterprise-grade tooling, and pay for it. Price your context volume before you commit - details on the LaunchDarkly page.

If you want open source and self-hosting: Flagsmith

If the OpenAI acquisition specifically bothered you because you want a tool you can run and own yourself, Flagsmith is the cleanest answer. It’s genuinely open source under BSD-3-Clause and genuinely self-hostable via Docker, Kubernetes, on-prem and air-gapped - so there’s no acquisition roadmap risk at all, and if the company ever changed direction, the code outlives it.

It’s flags-first, so be clear about the trade: A/B testing is basic, not a heavyweight statistical engine like Statsig’s. If experimentation was the reason you were on Statsig, Flagsmith won’t replace it - GrowthBook or PostHog will. But if you were mostly using Statsig’s free flags and value independence, Flagsmith is cheap and transparent - a $0 free tier (50,000 requests/mo), paid Start-Up at $40/mo on annual billing, and the highest G2 rating in this set at 4.8. The self-hosted OSS build is free outright; you pay in the DevOps time to run the Django stack. See the Flagsmith page for the full picture.

So which one?

You want Statsig’s experimentation without the ownership question - GrowthBook, the closest match, if you have a data warehouse and someone to own the stats.
You want experiments tied to product analytics - PostHog, where experiments read straight from your metrics.
You were really there for the flags and need enterprise depth - LaunchDarkly, and price your context volume first.
You want to own and self-host the tool outright - Flagsmith, accepting basic experimentation.
The acquisition doesn’t worry you - honestly, staying on Statsig is defensible. Nothing has broken, the free tier is still generous, and the product is excellent. The only real asterisk is who owns it, and “owned by OpenAI” is not the same as “abandoned.”

That last point matters, so I’ll end on it. This isn’t a “flee Statsig” list. Statsig remains one of the best experimentation platforms available, and existing customers are being served exactly as before. The reason to shortlist alternatives is prudence about a multi-year commitment, not evidence of a problem. If you’re comfortable betting on a product inside OpenAI, Statsig is still excellent value - and if you’re not, the four above are where to look.

Pricing and features verified against each vendor’s site on 23 July 2026. Feature-flag pricing changes often - we re-verify regularly. The Statsig acquisition figure (~$1.1 billion, 2 September 2025) is from third-party reporting and vendor confirmation, attributed as such.