Plausible Analytics vs PostHog

The one question that decides this

The real split is not “which one is better analytics?” It is whether you want a simple, privacy-friendly Google Analytics replacement or a much broader product analytics platform that also happens to replace Google Analytics. Plausible Analytics describes itself as “Simple, privacy-friendly Google Analytics alternative” and its GitHub description is equally direct: “Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.” PostHog, by contrast, says it replaces Mixpanel, Amplitude, and Google Analytics, and its tagline is “All-in-one product analytics, session replay, feature flags, A/B testing.” That is the fork in the road: web analytics with less nonsense, or a product instrumentation stack with more moving parts.

What each one is actually trying to be

Plausible Analytics: simple, privacy-friendly Google Analytics alternative

Plausible Analytics is trying to be the analytics tool you install when you are tired of Google Analytics turning “how many people read this page?” into a spiritual endurance test. The project’s own positioning is blunt: “Simple, privacy-friendly Google Analytics alternative.” That tells you most of what matters. It is optimizing for web analytics, privacy, and a lighter footprint, not for becoming the control plane for every product decision your company makes.

The GitHub description is also refreshingly unambiguous: “Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.” That is not a kitchen sink pitch. It is not promising to run experiments, replay sessions, manage feature flags, track errors, observe AI agents, and somehow make your roadmap emotionally available. Plausible is the cleaner bet when the job is “replace Google Analytics without dragging the whole surveillance-industrial dashboard circus into the app.”

PostHog: all-in-one product analytics, session replay, feature flags, A/B testing

PostHog is trying to be much more than a Google Analytics alternative. Its tagline says: “All-in-one product analytics, session replay, feature flags, A/B testing.” Its GitHub description goes even wider: “PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error tracking, logs, and more – capture all the context agents need to diagnose problems, uncover opportunities, and ship fixes. Steer it all from Slack, web, desktop, or the MCP.”

That description is doing a lot. Some of it is useful, some of it is very 2026 product-marketing-coded, and all of it points to the same conclusion: PostHog is for teams that want product analytics plus adjacent tooling in one place. It replaces Mixpanel and Amplitude as well as Google Analytics, which is the tell. If your actual problem is “we need event analytics, funnels, experiments, flags, and replay,” Plausible is probably too narrow. If your actual problem is “we need pageview analytics for a website,” PostHog may be wearing a tactical vest to make toast.

Head-to-head: the metrics

Plausible Analytics is plausible/analytics on GitHub, written primarily in Elixir, with 28,274 stars, 1,762 forks, 55 open issues, license AGPL-3.0, and a last push date of 2026-07-31. PostHog is PostHog/posthog, written primarily in Python, with 37,425 stars, 3,122 forks, 5,278 open issues, license NOASSERTION, and a last push date of 2026-08-01.

Those numbers say a few concrete things. PostHog has more GitHub stars and forks, which fits a broader platform with more surface area and more reasons for developers to interact with it. Plausible has fewer stars, fewer forks, and far fewer open issues. Both projects look active based on the last push dates: Plausible was last pushed on 2026-07-31, and PostHog was last pushed on 2026-08-01.

What the metrics do not tell you is whether either product is right for your stack, your compliance needs, or your team’s patience level. Stars are not a support contract. Forks are not proof that self-hosting will be fun. Open issues are especially tricky: 5,278 open issues for PostHog could reflect a much larger project and community, but it also means there is a lot of unresolved public surface area. Plausible’s 55 open issues looks tidier, but a smaller scope naturally produces fewer places for things to break.

The license field is also worth reading literally. Plausible’s license is listed as AGPL-3.0. PostHog’s license is listed as NOASSERTION. That does not mean “no license,” and it does not mean “do whatever you want.” It means the provided metadata does not assert a license value. If licensing affects your deployment, procurement, or redistribution plans, do not hand-wave this part because a dashboard had a big star count.

Self-hosting

Plausible Analytics supports self-host and official-cloud, with an official SaaS price listed at $9/month and a deploy difficulty of 2 out of 5. That matches the product shape: it is a focused web analytics tool, so the self-hosting story should not require you to cosplay as a platform team. A difficulty score of 2 does not mean zero effort, but it does suggest Plausible is the more approachable option if you want ownership without signing up for a complex product analytics stack.

PostHog also supports self-host and official-cloud, with an official SaaS price listed at $0/month and a deploy difficulty of 4 out of 5. That higher difficulty is not surprising given the scope: analytics, session replay, flags, experiments, error tracking, logs, and more. Broad platforms have broad operational gravity. Self-hosting PostHog may make sense if you genuinely need that bundle, but if your main goal is replacing Google Analytics on a marketing site, you should be honest about whether you are solving a problem or adopting a hobby.

Community signals

For Plausible Analytics, the provided Hacker News signal is a 2023 story titled “Lessons from building Plausible Analytics to $1.2M ARR in public,” posted by trulykp, with 210 points and 76 comments. That is a founder/company-building signal more than a technical benchmark, but it does show the project has had public attention around the business and open-building narrative. The provided Reddit top post is “Wearing Power Armor to a Magic School (179/?)” from r/HFY, with 1,273 upvotes and 223 comments, which appears unrelated to Plausible Analytics. Treating that as product community evidence would be slop, so we will not.

For PostHog, the provided Hacker News signal is a 2024 story titled “Posthog is closing their Slack community in favor of forum,” posted by vmatsiiako, with 396 points and 216 comments. That is a real community-management signal: PostHog had enough community activity around Slack versus forums to generate discussion on Hacker News. It does not prove the product is good or bad, but it does suggest a large enough user/developer orbit that community infrastructure decisions get noticed. The provided Reddit top post is “AITA for not wanting to let a neighbors kid into my house to do arts and crafts?” from r/BestofRedditorUpdates, with 2,409 upvotes and 459 comments, and it is not product-relevant.

What we'd do

Use Plausible Analytics when you want a clean Google Analytics replacement for website traffic, privacy-friendly tracking, and a self-hostable tool that does not try to become your entire product operating system. Use PostHog when you actually need product analytics plus session replay, feature flags, A/B testing, and the wider stack it advertises. Plausible wins for sane website analytics. PostHog wins when Google Analytics is only one small piece of the thing you are replacing.