Objectiv is an open-source product analytics platform designed for data teams. It enables running analytics directly from Jupyter notebooks or other familiar environments, giving users full control over their data, models, and analytics logic. By integrating seamlessly with modern data stacks and adhering to open standards, Objectiv eliminates vendor lock-in and enhances flexibility. It serves as an open-source alternative to platforms like Google Analytics, Amplitude, and Mixpanel.
Key Features:
- Open-Source: Full transparency and control over your analytics.
- Notebook-Based: Analyze data directly from your Python notebook (Jupyter, Hex, Deepnote, Colab).
- Data Modeling: Pre-built models for common product analytics use cases, with the ability to create custom models.
- First-Party Data: Connects directly to your data store (BigQuery, Snowflake, etc.) and integrates with your existing data stack.
- Validated Tracking: Tooling to test, validate, and debug tracking setups.
- Self-Hosted or Cloud: Deploy Objectiv on your infrastructure or use the fully managed cloud offering.
Use Cases:
- Product Analytics: Analyze user behavior, track key metrics, and identify areas for improvement.
- Custom Analytics: Build custom models and analyses tailored to your specific needs.
- Data-Driven Decision Making: Empower data teams to make informed decisions based on reliable data.
- Integration with Data Stack: Seamlessly integrate product analytics into your existing data workflows (dbt, Airflow, etc.).
