objectiv-analytics
pandas-paddles
Our great sponsors
objectiv-analytics | pandas-paddles | |
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22 | 2 | |
469 | 4 | |
- | - | |
0.0 | 4.6 | |
over 1 year ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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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
pandas-paddles
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Experimenting with Pandas Fluent API: avoiding lambdas
I've done something similar: pandas-selector. It's using DF to access the dataframe in assign() or loc[]. You're example would read:
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New project pandas-selector: helper for pandas to make operation-chaining cleaner
Hi, I've created a small pandas helper (GitHub, PyPI, RTD) I find really useful. It allows you to write cleaner operation chains, e.g. chaining assign and loc:
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/
kangas - 🦘 Explore multimedia datasets at scale
pandera - A light-weight, flexible, and expressive statistical data testing library
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas 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
ctp_dashboard - Webapp for projecting and analyzing inventory in a supply chain
QACoverageTool - Utility to perform tests coverage analysis
datapane - Build and share data reports in 100% Python