buabaj/xplore
A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.
Quickly understand the basic characteristics of your structured datasets, like CSVs or database tables. You provide a dataset, and it outputs an overview including the first and last few entries, summary statistics, column types, and null value counts. This is for data scientists, analysts, or AI/ML engineers who need a rapid initial inspection of their data.
No commits in the last 6 months. Available on PyPI.
Use this if you need to perform a quick, initial scan of a new dataset to understand its structure and content before diving into detailed cleaning or model building.
Not ideal if you require interactive visualizations, advanced statistical modeling, or in-depth data cleaning capabilities.
Stars
21
Forks
11
Language
Python
License
MIT
Category
Last pushed
Apr 29, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/buabaj/xplore"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
skrub-data/skrub
Machine learning with dataframes
biolab/orange3
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
root-project/root
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
cleanlab/cleanlab
Cleanlab's open-source library is the standard data-centric AI package for data quality and...
drivendataorg/deon
A command line tool to easily add an ethics checklist to your data science projects.