Ross ROSS = Recommend OSS · open-source software intelligence for agents

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 · 2026-10-18

github.com/PostHog/posthog · homepage · Python · NOASSERTION (other) observed · 2026-10-18

Health v2 · maintenance only

96/100

  • Activity 100
  • Release rhythm 88
  • Longevity 100

Flags: no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 2462
  • days_rel: 3
  • days_push: 3
  • n_releases_24m: 3734

Full methodology

Adoption not part of the score

40328 stars · 3523 forks observed · 2026-10-18

What it is AI-extracted, prompt v1, taxonomy v1, 2026-09-28, confidence 0.97

PostHog is an open‑source platform for product analytics, feature flags, session replay, error tracking and experimentation. It can be self‑hosted or run in the cloud and integrates with Slack, web, desktop and the MCP.

Use cases

  • track user behavior and events in a web or mobile product
  • run A/B experiments to measure the impact of product changes
  • roll out new features gradually using feature flags
  • capture and replay user sessions to debug UI issues
  • monitor errors and receive alerts for production incidents
  • visualize product analytics with dashboards or SQL queries

When to choose

  • You need a self‑hosted, open‑source analytics solution with built‑in feature flags and session replay
  • Your team wants to automate product decisions with PostHog’s self‑driving mode
  • You require tight integration with existing developer tools like Slack and pull‑request workflows
  • You prefer a single platform that combines analytics, experimentation, and error tracking

When to avoid

  • You only want a fully managed SaaS service and do not want to maintain infrastructure
  • Your product has extremely low traffic and the overhead of running PostHog is unnecessary
  • You need specialized analytics that are not covered by PostHog’s feature set

Facets

application · maturity active

analytics feature-flags testing logging monitoring analytics data-science web-development cli self-hosted cloud self-driving session-replay ab-testing python react typescript devops linux docker web-server

2 sources

Member repositories

RepositoryRoleHealth v2
PostHog/posthogmain96
PostHog/posthog.comdocs77
PostHog/posthog-fossmirror75
PostHog/wizardplugin81
PostHog/codeinfra10
PostHog/mcpbackend10
PostHog/skillsplugin59
PostHog/context-millinfra76

For agents

markdown · JSON · MCP: product_card(name="PostHog/posthog")

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem