Verified project record
PostHog/posthog
PostHog is a product analytics and observability platform that unites analytics, session replay, feature flags, experiments, error tracking, and log analysis to help product teams diagnose problems and identify opportunities. It offers a self-driving diagnostics mode that produces researched reports and pull requests from product signals such as errors and rage clicks.
Project overview
The platform combines broad product context with a self-driving mode that turns product signals into researched reports and pull requests for review and merge.
- Project type
- Workflow · Data Processing
- Use cases
- Data Analysis
- Deployment
- Refer to project documentation
- License
- License pending
Best for
- Developer, enterprise, and operations teams who need to connect product analytics with observability signals to diagnose issues and test changes.
- Teams that want automated workflows turning product signals into researched reports and pull requests.
Key capabilities
- Turns product signals such as errors, rage clicks, and failed queries into researched reports and pull requests for review and merging.
- Autocaptures or manually instruments event-based analytics and supports visualization or SQL analysis of user behavior.
- Monitors web traffic and user sessions with dashboards for conversion, web vitals, and revenue.
- Records and displays real user sessions from websites or mobile apps to help diagnose issues and understand behavior.
- Safely rolls out features to selected users or cohorts.
- Tests product changes and measures their statistical impact on goal metrics, including no-code experiment setup.
- Tracks errors, provides alerts, and supports issue resolution.
- Ingests, searches, and analyzes log data alongside product data.
Limitations and risks
- Open-source deployments should scale to approximately 100k events per month before migration to PostHog Cloud is recommended.
- Open source deployments do not receive customer support or guarantees.
- Self-hosting is labeled advanced and open source deployments have no customer support or guarantees.
- PostHog Cloud is free within stated monthly tiers and charges based on usage after those tiers.
Getting started
- The source documents a one-line Docker deployment and cloud signup, but does not explicitly classify overall setup difficulty or provide a complete first-success route for all deployment and interaction scenarios.
Alternatives and comparisons
- Provides a Python API for scalable batch and streaming data processing, which can be used for real-time analytics pipelines.
Project comparisons
Evidence and sources
- GitHub project description: :hedgehog: PostHog is the leading platform for building self-driving products. Our developer tools – AI observability, analytics, session replay, flags, experiments, error trackin…
- README: You can steer it all from [Slack](https://posthog.com/slack), [web](https://posthog.com/ai), desktop ([PostHog Code](https://posthog.com/code)), or your own editor via [the MCP](h…
- README: The fastest and most reliable way to get started with PostHog is signing up for free to [PostHog Cloud](https://us.posthog.com/signup) or [PostHog Cloud EU](https://eu.posthog.com…
- README: If you want to self-host PostHog, you can deploy a hobby instance in one line on Linux with Docker (recommended 4GB memory): ```bash /bin/bash -c "$(curl -fsSL https://raw.githubu…
- README: Once you've got a PostHog instance, you can set it up by installing our [JavaScript web snippet](https://posthog.com/docs/getting-started/install?tab=snippet), one of [our SDKs](h…
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Project Details
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