open-source product analytics
that's ready for data science
Objectiv is a complete, self-hosted product analytics stack designed for data science applications without gruntwork.
Get ready for data science without the gruntwork
Objectiv includes everything you need to answer your product analytics questions with speed and precision.
Straight from your notebook on the full, raw dataset. No cleaning, transformations or tracking plans required.
Objectiv on GitHub
Model-ready data at the first step of the pipeline
Events tracked with Objectiv are unusually rich, highly descriptive, and structured with effective modeling in mind.
Objectiv's tracker validates all collected events against an open analytics taxonomy at the first step of the pipeline.
The resulting dataset is error free, highly consistent, and ready for data science without additional gruntwork or transformation.
Pandas-like modeling on the full dataset
Objectiv Bach is a modeling library that combines the power of Pandas with the
scalability of SQL and includes pre-built models that you can chain together.
On command, Objectiv converts your complete model chain to SQL and runs it on the full dataset, so feel free to try out new things at any stage.
Bach supports many common Pandas operations, combined with operations that are specific to datasets collected with the Objectiv tracker.
Reuse any model and chain them together
As a result of high data consistency, any model created with Objectiv Bach runs on any dataset collected with the Objectiv tracker.
That advanced model someone from the other team built? You can reuse that for your own project by changing a single line of code.
Objectiv also includes pre-built models for a wide range of product analytics use cases. You can chain them together to answer common product analytics questions quickly.
You're free to customize them (or build your own) for specific in-depth analyses.
Happy with the results? Share your insights with your team by outputting your data to supported BI tools with a single command.
Bach is Pandas compatible: Take your data to the next level by tapping into the rich machine learning ecosystem Pandas is well-known for.
For an overview of all available pre-built models, check out the Docs.
Docs - Open Model HubTry the complete Objectiv stack on your local machine
It comes with everything you need, including a copy of our website as a demo app,
a notebook with working models and a Metabase environment to output data to.
Follow the Quickstart Guide to locally run the full Objectiv pipeline dockerized.
Objectiv Quickstart Guide