PostHog
:hedgehog: 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. observed · 2026-08-28
Health v2 · maintenance only
95/100
- Activity 99
- Release rhythm 87
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0
- age_days: 2414
- days_rel: 6
- days_push: 7
- n_releases_24m: 948
Adoption not part of the score
39256 stars · 3291 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
PostHog is an open-source product analytics platform combining product analytics, web analytics, session replay, feature flags, A/B experiments, error tracking, logs, surveys, and a customer data platform in one self-hostable or cloud-hosted suite. It also offers AI observability and 'self-driving' capabilities that turn product data signals into researched reports and pull requests, controllable via Slack, web, desktop, or MCP.
Use cases
- track user behavior with event-based product analytics
- watch session replays to debug UX issues
- roll out features gradually with feature flags
- run A/B tests and measure statistical impact
- monitor web traffic and conversion funnels
- track and alert on application errors
- self-host a Google Analytics alternative
- analyze product data with SQL
When to choose
- you want an all-in-one analytics, flags, and replay platform you can self-host
- you need autocapture analytics without manual instrumentation
- you want feature flags and experiments tightly integrated with analytics
- you need AI observability for LLM-powered products
When to avoid
- you only need lightweight page-view counting without a data pipeline
- you cannot operate a resource-heavy Python/Docker stack and don't want the cloud offering
- you need strict per-event data residency controls the platform doesn't support
Facets
application · maturity active
analytics monitoring alerting feature-flags data-visualization error-handling logging mcp chatbot analytics developer-tools web-development artificial-intelligence self-hosted self-hosted python product-analytics session-replay feature-flags ab-testing web-analytics surveys data-warehouse cdp ai-observability self-driving-products web-server docker javascript web
2 sources
- readme: https://github.com/PostHog/posthog · fetched 2026-08-28 · 951cfc0d4526
- homepage: https://posthog.com · fetched 2026-08-29 · 44136fa355b3
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| PostHog/posthog | main | 95 |
| PostHog/posthog.com | docs | 77 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem