Objectiv – Open-source product analytics infrastructure
Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data…
In plain words
Objectiv is an open-source product analytics infrastructure built on a standardized event taxonomy and common data tools like PostgreSQL and Snowplow. It uses Bach, a pandas-like modeling library that speaks SQL, to analyze data. The platform is designed for developers, offering IDE support and runtime validation for event instrumentation, with the goal of enabling analytics models to be shared across products and data platforms independently.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hi! One of the creators here. Very proud to finally be able to show you what we've been working on for over a year now. Curious to hear your thoughts! Objectiv is open-source (APLv2) product analytics infrastructure. It's built around a generic but strict event taxonomy, open/common data- and infra tools (currently PG, snowplow, working on bigquery with more to come), and the analyses are done using our pandas-like, SQL speaking modeling library called Bach. As a result, we’re moving towards a vision wherein models can be shared openly, independent of product, platform[1] or data platform[2]. How? - Fully assist the dev doing the instrumentation using tools for ide support, run-time validation, ci integration. No auto capture, but very low-effort[1] instrumentation. - Scale using proven tech: a single collector writing to PG for small or snowplow to anything[2] for big. - Feed data into your own data warehouse after validation. - No tracking plan, but an open event taxonomy designed for modeling, that fits most user interfaces out of the box or can be extended otherwise. - Take some of our pre-built models off the shelf or use Bach directly to model on the raw data in a notebook. - Bach generates SQL for the target platform: productionize without lock-in, feed to a BI system, dbt, etc. Where? Github: https://github.com/objectiv/objectiv-analytics Docker demo: https://objectiv.io/docs/home/quickstart-guide/ Website/docs: https://objectiv.io/ Let me know what you think and what platform/SQL backend you’d like to see supported first. [1] Currently on plain js, react, angular, react native. Future: vue, native android/ios. [2] Once we’re done building Bach support for all SQL platforms. Now: PG, bigquery in development. Future: redshift, clickhouse, athena, etc.
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