objectiv-analytics
ctp_dashboard
objectiv-analytics | ctp_dashboard | |
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22 | 1 | |
469 | 2 | |
- | - | |
0.0 | 8.8 | |
over 1 year ago | 3 months ago | |
Python | Python | |
Apache License 2.0 | - |
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objectiv-analytics
- Get tools to test, validate and debug your tracking instrumentation → Set up error-free user behavior tracking → No more missing/faulty data downstream.
- Open your python notebook → Work directly on super-structured raw data that's designed for modeling → Build analytics models without data prepwork.
- Open your python notebook → Take pre-built analytics models (or build your own) → Turn them into SQL with one command → Build BI dashboards in minutes.
- Run product analytics from your notebook with full control over data & models.
- Powerful product analytics for data teams. Objectiv is a data collection & modeling platform. Built for data teams to run product analytics from their notebooks with full control over data and models.
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Open-source data collection & modeling platform for product analytics
Hope you like it. Check out the project on GitHub, and please do give us a star so others can find us too! https://github.com/objectiv/objectiv-analytics
- The complete toolkit for product analytics modeling. Notebook-native, open-source and free to use.
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A community developing a Hugging Face for customer data modeling
One of the creators of Objectiv here. Would like to get your opinion on our community-driven open-source project, which aims to do for customer data modeling what Hugging Face did for NLP: https://github.com/objectiv/objectiv-analytics
- Objectiv is ready-to-use infrastructure for advanced product analytics
ctp_dashboard
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Announcing automation-service: write and schedule home automation scripts in Lua
Quriosity got the better of me, so I've abandoned my own 'big project' (in Python, link here) before finishing it, now learning Haskell instead. I justify it to myself by saying it's now in a state where I can easily come back and add content to it bit by bit, whereas learning a totally different language requires concentrated time investment that I might not have again until next year. Realistically it's just an excuse for following blind curiosity, though. One day I'll get back to it and push it up to your level... One day.
What are some alternatives?
zillion - Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
QACoverageTool - Utility to perform tests coverage analysis
pandas-paddles - Access the parent Pandas data frame in loc[], iloc[], assign(), and others Pandas helpers
Fennel - Lua Lisp Language
pandera - A light-weight, flexible, and expressive statistical data testing library
logos-shift-client - Replace expensive LLM calls with finetunes automatically
data-diff - Compare tables within or across databases
Restaurant-Monitoring-System - Backend system for restaurant management
Snowplow - The enterprise-grade behavioral data engine (web, mobile, server-side, webhooks), running cloud-natively on AWS and GCP
datapane - Build and share data reports in 100% Python