Academy-Course-PYT26065 VS pandas-profiling

Compare Academy-Course-PYT26065 vs pandas-profiling and see what are their differences.

Academy-Course-PYT26065

Resources for Open Risk Academy Course: "Processing Agency Mortgage Data with Awk, Pandas and Django - Part 1: Static Data" (by Open-Risk-Academy)
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Academy-Course-PYT26065 pandas-profiling
1 1
2 8,962
- -
4.4 8.5
8 months ago almost 2 years ago
Python Python
Apache License 2.0 MIT License
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Academy-Course-PYT26065

Posts with mentions or reviews of Academy-Course-PYT26065. We have used some of these posts to build our list of alternatives and similar projects.

pandas-profiling

Posts with mentions or reviews of pandas-profiling. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-20.

What are some alternatives?

When comparing Academy-Course-PYT26065 and pandas-profiling you can also consider the following projects:

python - 🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming.

lux - Automatically visualize your pandas dataframe via a single print! 📊 💡

rightmove_webscraper.py - Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

barfi - Python Flow Based Programming environment that provides a graphical programming environment.

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

qgrid - An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks

sweetviz - Visualize and compare datasets, target values and associations, with one line of code.

datasette - An open source multi-tool for exploring and publishing data

Academy-Course-DAT31063 - Resources for Open Risk Academy Course: "Class Inheritance in Data Science"

data_algebra - Codd method-chained SQL generator and Pandas data processing in Python.

kangas - 🦘 Explore multimedia datasets at scale