4 alternatives to Pirsch
Compare free and open-source solutions before building your own. Check each option’s license, setup, and limitations.
Cookieless page views and custom events with a compact dashboard and no hosted meter.
LicenseMIT
PlatformsOn your machine or in the cloud
InstallationCreate an Umami Cloud account or deploy the Node application with Docker Compose and PostgreSQL
DataA self-hosted deployment stores analytics and account data in PostgreSQL; Umami Cloud stores it in Umami's managed service
Limitations compared to PirschIt has less emphasis on server-side collection and a less compact API workflow than Pirsch, while self-hosting adds operations.
SetupNone for hosted signup; self-hosting requires Docker or Node hosting and a PostgreSQL database
Facts verified 2026-08-10
Simple cookieless traffic and goals; the Community Edition keeps the dashboard deliberately narrow.
LicenseAGPL-3.0+
PlatformsOn your server
InstallationDeploy the Community Edition with the official Docker Compose installer
DataAccount and configuration records live in PostgreSQL and analytics events live in ClickHouse on the user's server
Limitations compared to PirschIt covers page views and goals, but self-hosting is heavier and its server-side collection and API story is less polished than Pirsch's.
SetupDocker Compose, roughly 2 GB of RAM, a domain with DNS and TLS, and backups for PostgreSQL and ClickHouse
Facts verified 2026-08-10
A broader cookieless dashboard with events, goals and funnels, still deployable from Compose.
LicenseAGPL-3.0
PlatformsOn your machine or in the cloud
InstallationUse the hosted service or deploy the free self-hosted edition with Docker Compose
DataThe self-hosted stack uses PostgreSQL for application data, ClickHouse for analytics and Redis for queues and cache; hosted data lives in Rybbit's cloud
Limitations compared to PirschIt is newer and considerably busier, with a heavier stack and a less mature compact dashboard and API than Pirsch.
SetupThe indefinitely free path is self-hosting, which requires Docker Compose, a domain, secrets and enough resources for three data services
Facts verified 2026-08-10
The tiny option: page views, paths and referrers without a product-management department.
PlatformsOn your machine or in the cloud
InstallationCreate a hosted account or run the single static binary or Docker image
DataA self-hosted instance uses SQLite by default or PostgreSQL; the hosted service stores analytics on GoatCounter's infrastructure and supports JSON and CSV exports
Limitations compared to PirschIts custom-event, conversion, API and integration capabilities are shallower than Pirsch's.
SetupNone for hosted use; self-hosting needs a reachable binary or container plus a public URL and TLS
Facts verified 2026-08-10
Updated 2026-08-10 · no paid listings
| Tool | License | Setup | Platforms | Stars | Activity |
|---|---|---|---|---|---|
| Umami | MIT | Docker on your server | web, self-hosted | 38,073 | 2026-08 |
| Plausible Community Edition | AGPL-3.0+ | Docker on your server | web, self-hosted | 28,377 | 2026-08 |
| Rybbit | AGPL-3.0 | Docker on your server | web, ios, android, self-hosted | 12,600 | 2026-08 |
| GoatCounter | Open source | Docker on your server | web, self-hosted | 5,800 | 2026-08 |
People still pay for Pirsch because teams pay because analytics must keep collecting and remain trustworthy while the product changes underneath it. The recurring cost buys event schemas, bot filtering, identity, late data, retention, query cost, privacy, backups, and always-on ingestion, not just the visible interface. If those points do not matter to you, the options above could save $60 per year.
Is there a free alternative to Pirsch?
Yes: Umami, Plausible Community Edition, Rybbit. This page lists 4 free or open-source options. Check the limitations of each.
Should I build my own Pirsch?
Our verdict: With trade-offs. The core loop is buildable, but a dependable replacement becomes a real weekend or multi-day project. For Pirsch, collect cookieless page views and custom events with compact dashboards. The hard boundary is hosted reliability, privacy operations, apis, email reports, and scale, plus data pipeline reliability and analytical depth. The complete prompt is on the Pirsch page on Vibe Radar.
