Free to list, always.No paid rankings. Every recommendation explains its trade-offs.
OpenSourceChoice

🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experimentation, surveys, data warehouse, a CDP, a Key capabilities include typescript, react, python. Common stack signals: Python, Github Actions, JavaScript, NodeJS.

PostHog upstream project preview
Upstream preview from the project website or source repository. The current interface may differ.

Best for AI product teamsyou need an inspectable building block for model, agent, retrieval, or inference workflows

Skip ifa fully managed black-box service is a hard requirementMore

01

What it is

🦔 PostHog is an all-in-one developer platform for building successful products. We offer product analytics, web analytics, session replay, error tracking, feature flags, experiment GitHub popularity snapshot captured on 2026-07-16: 35,555 stars and 2,976 forks.

Teams can evaluate PostHog as an open alternative to Google Analytics while keeping the implementation, license, and repository signals visible. Confirm the official documentation against your exact workflow before treating it as a production dependency.

02

Who it’s for — and when to skip it

AI product teams

Evaluate it when you need an inspectable building block for model, agent, retrieval, or inference workflows.

Skip if a fully managed black-box service is a hard requirement.

Platform engineers

Use the repository and stack signals to assess how it fits your existing data and deployment boundaries.

Skip if your team cannot own upgrades, observability, or capacity planning.

Prototype-focused developers

Consider it when an open implementation helps you validate an idea without committing to a proprietary API.

Skip if the project does not document the models, hardware, or data constraints you need.

03

Strengths and trade-offs

Why teams consider it

typescript

react

python

Source code and NOASSERTION license are visible before adoption

Repository activity is available as a current maintenance signal

What to validate

A public repository does not automatically guarantee a documented self-hosting path

GitHub popularity is not a security, quality, or product-fit guarantee

The NOASSERTION license still needs review against your distribution and commercial model

Support quality, migration effort, and production hardening vary by project

04

Pricing

Generous free cloud tier; pay for usage above free limits

Open-source product analytics. Cloud free tier covers substantial usage; paid is usage-based. Self-hosting available.

Verified Jul 17, 2026 · Official pricing page. Confirm current rates before purchase — catalog figures are discovery aids, not quotes.

Free / Hobby

$0Cloud free limits
  • Product analytics core
  • Generous free monthly usage
  • Community support

Pay-as-you-go

Usage-basedCloud
  • Scale beyond free limits
  • Additional products and add-ons
  • See official calculator

Self-hosted

$0 softwareOpen source + infra
  • Run PostHog yourself
  • Infrastructure not included
05

Capabilities and stack fit

01typescript
02react
03python
04javascript

Catalog metadata supports discovery, not installation. Verify supported versions, dependencies, deployment topology, and production requirements in the official repository.

06

Guides for PostHog

No project-specific guide is published yet.

Use the learning library to find a guide by technology, category, or difficulty.

Browse guides
07

Related articles

AlternativesBest Google Analytics Alternatives in 202617 min · Jul 17, 2026ToolsOpen-Source Website Analytics Tools Worth Evaluating17 min · Jul 17, 2026GuidesEuropean & Open-Source Alternatives to US SaaS in 202615 min · Jul 20, 2026
08

Approved community reviews

No approved review signal yet.

We do not display synthetic testimonials or ratings without sufficient moderated data.

09

Before you adopt it

  1. 01

    Read the license and confirm it fits your intended use and distribution model.

  2. 02

    Review recent commits, open issues, releases, and the maintainer response pattern.

  3. 03

    Run a small proof of concept with representative data, users, and integrations.

  4. 04

    Confirm whether an official deployment or self-hosting guide exists.

  5. 05

    Document an export or migration path before storing critical data.

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