pandas-paddles
Simple, composable column selector for loc[], iloc[], assign() and others. (by eikevons)
objectiv-analytics
Open-source product analytics infrastructure for data teams that want full control.
Built for high quality data collection and ready to use for advanced analytics & ML. (by objectiv)
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| pandas-paddles | objectiv-analytics | |
|---|---|---|
| 2 | 22 | |
| 5 | 469 | |
| - | - | |
| 4.6 | 0.0 | |
| 7 days ago | over 1 year ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pandas-paddles
Posts with mentions or reviews of pandas-paddles.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-27.
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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:
objectiv-analytics
Posts with mentions or reviews of objectiv-analytics.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-30.
- 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.
-
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.
-
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
What are some alternatives?
When comparing pandas-paddles and objectiv-analytics you can also consider the following projects:
kangas - 🦘 Explore multimedia datasets at scale
zillion - Make sense of it all. Semantic data modeling and analytics with a sprinkle of AI. https://totalhack.github.io/zillion/
PANDAS-TUTORIAL - Jupyter Notebooks and Data Sets for Pandas Library
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
QACoverageTool - Utility to perform tests coverage analysis
ctp_dashboard - Webapp for projecting and analyzing inventory in a supply chain
datapane - Build and share data reports in 100% Python
pandas-paddles vs kangas
objectiv-analytics vs zillion
pandas-paddles vs PANDAS-TUTORIAL
objectiv-analytics vs pandera
objectiv-analytics vs logos-shift-client
objectiv-analytics vs data-diff
objectiv-analytics vs Restaurant-Monitoring-System
objectiv-analytics vs Snowplow
objectiv-analytics vs QACoverageTool
objectiv-analytics vs ctp_dashboard
objectiv-analytics vs datapane