PostHog

Open source alternative to Amplitude, Mixpanel and FullStory

40.4K stars
MIT
Active this week
Last commit 1 day ago

Last verified Oct 20, 2026

PostHog is an open source product analytics platform combining event tracking, session replay, feature flags, A/B testing, and surveys in one self-hosted deployment. MIT licensed; self-host free or use PostHog Cloud.

Visit website GitHub40.4K Deploy on Hostinger

Read the full breakdownWho it is for, how it works, trade-offs, the quick start and the FAQ

who it's for

Who PostHog is for#

SaaS teams consolidating analytics tools

Use PostHog to combine funnels, web analytics, session replay, feature flags, experiments, surveys, and errors in one stack.

Skip if:

Skip if your only need is lightweight website traffic reporting.

Developers instrumenting product growth

Use SDKs, SQL, feature flags, and event pipelines to measure and ship product changes without a separate marketing analytics stack.

Skip if:

Skip if non-technical marketers need a pure ad attribution platform.

the problem

The problem it solves#

Product teams often stitch together analytics, flags, session replay, surveys, errors, and pipelines from separate SaaS tools. That creates duplicate instrumentation, fragmented user data, and pricing that grows across several vendors at once.

how PostHog solves it

How it solves it#

Product and web analytics

PostHog tracks event-based product analytics and GA-like web analytics, with visualization, SQL, conversion, web vital, and revenue reporting.

Replay, flags, and experiments

Session replay, feature flags, and experiments let teams diagnose behavior, roll out changes safely, and measure statistical impact.

Data pipelines and LLM analytics

PostHog can transform incoming data, send it to 25+ tools, sync warehouse data, and capture LLM traces, generations, latency, and cost.

strengths · trade-offs

Strengths and trade-offs#

Strengths

One product stackTeams can replace several analytics and growth tools with one event model, reducing duplicate SDKs and scattered customer data.
Developer-friendly setupThe README highlights SDKs for popular frontend, mobile, and backend stacks plus API setup options.

Trade-offs

-Self-hosting has scale limitsPostHog's README recommends cloud for the fastest path and notes open source hobby deployments should scale to about 100k events per month before migration is recommended.

versus alternatives

PostHog vs alternatives#

PostHog vs Mixpanel

PostHog is better when a developer team wants product analytics plus flags, replay, experiments, surveys, errors, and pipelines in one stack. Mixpanel is still worth considering when analytics depth, managed reliability, and mature enterprise reporting are more important than consolidation or self-hosting.

install · quick start

Quick start#

bash

/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/posthog/posthog/HEAD/bin/deploy-hobby)"

tech stack · detected from GitHub

What it's built on#

Languages: JavaScriptPythonRustTypeScript
Frameworks: React
Databases: PostgreSQL
Infrastructure: AWS
Cache: Redis

frequently asked

FAQ#

What does PostHog include?

PostHog includes product analytics, web analytics, session replay, feature flags, experiments, surveys, error tracking, pipelines, and LLM analytics.

Can PostHog be self-hosted?

Yes, but the README positions cloud as recommended and describes self-hosting as an advanced hobby deploy with scale guidance.

What does PostHog replace?

PostHog can replace parts of Mixpanel, Amplitude, Hotjar, LaunchDarkly, Google Analytics, and survey tools.

also worth a look

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Hostinger

Run PostHog on your own server

Self-host PostHog on a Hostinger VPS.

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Who PostHog is for#