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DataFast alternatives
DvsP

DataFast vs Posthog-foss

PostHog FOSS is the stronger choice for teams seeking self-hosted, event-based product and web analytics with SQL analysis and control of the deployment. DataFast remains the better fit when the primary requirement is purpose-built marketing revenue attribution across traffic sources, payments, campaigns, and visitor journeys. The supplied evidence does not establish that PostHog FOSS matches DataFast’s payment-athe-

DataFast versus Posthog-foss comparison

Decision guide

The practical reasons to choose either option, based on documented capabilities.

Choose Posthog-foss if

  • Product teams analyzing event-based user behavior with visualizations or SQL
  • Engineering teams wanting web and product analytics in a self-hosted environment
  • Organizations able to operate an unsupported Docker-based analytics deployment below the documented approximate scale guidance

Stay with DataFast if

  • Marketing teams need payment-linked attribution as the central analytics workflow
  • Teams require documented cross-domain or web-to-app visitor journeys
  • Organizations depend on documented cookieless tracking, Google Search Console attribution, Meta Ads reporting, or public dashboards and scheduled reports
Deployment and operations

PostHog FOSS is MIT-licensed and self-hostable. The documented hobby deployment runs on Linux with Docker and recommends 4 GB of memory. The maintainers state that open-source deployments should scale to approximately 100,000 events per month, recommend PostHog Cloud beyond that point, and provide no customer support or guarantees. Posthog-foss is a read-only mirror synchronized from the main repository, so issues and pull requests should be submitted there.

Feature fit

What Posthog-foss covers

  • Web traffic analytics
  • Revenue monitoring
  • Event-based analytics
  • API-based instrumentation
  • MCP access

What’s different or missing

  • No documented DataFast import path
  • No documented payment-provider attribution workflow
  • No documented persistent versus cookieless tracking modes
  • No documented Search Console or Meta Ads attribution
  • No documented public dashboards or scheduled reports

Project snapshot

GitHub stars
696
Contributors
552
Language
Python
Last commit
Aug 16, 2026
Latest release
Not available

Categories: Product Analytics, Web Analytics

Sources and editorial review13 linked sources

Reviewed by Kris

Reviewed

Updated

Public documentation supports this comparison. Automation assists collection and classification; editorial standards and corrections remain the responsibility of Kris.

  • PostHog FOSS is a read-only mirror of PostHog, with all proprietary code removed.

    repository description · github.com
  • PostHog is the open source platform for building self-driving products.

    readme · github.com
  • Web analytics: Monitor web traffic and user sessions with a GA-like dashboard. Easily monitor conversion, web vitals, and revenue.

    readme · github.com
  • Product analytics: Autocapture or manually instrument event-based analytics to understand user behavior and analyze data with visualization or SQL.

    readme · github.com
  • Data warehouse: Sync data from external tools like Stripe, Hubspot, your data warehouse, and more.

    readme · github.com
  • Self-hosting the open-source hobby deploy (Advanced): deploy a hobby instance in one line on Linux with Docker.

    readme · github.com
  • You can steer it all from Slack, web, desktop (PostHog Desktop), or your own editor via the MCP.

    readme · github.com
  • Product analytics: Autocapture or manually instrument event-based analytics to understand user behavior and analyze data with visualization or SQL.

    verdict · github.com
  • Web analytics: Monitor web traffic and user sessions with a GA-like dashboard. Easily monitor conversion, web vitals, and revenue.

    shared feature · github.com
  • If you want to self-host PostHog, you can deploy a hobby instance in one line on Linux with Docker (recommended 4GB memory):

    deployment · github.com
  • Open source deployments should scale to approximately 100k events per month, after which we recommend migrating to a PostHog Cloud

    deployment · github.com
  • We _do not_ provide customer support or offer guarantees for open source deployments.

    deployment · github.com
  • PostHog FOSS is a read-only mirror of PostHog, with all proprietary code removed. NOTE: This repo is synced automatically from the main PostHog repo. Please raise any issues and PRs there.

    deployment · github.com