PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

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

Next generation of automated data exploratory analysis and visualization platform.

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

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.

🦘 Explore multimedia datasets at scale

Automatically find issues in image datasets and practice data-centric computer vision.

Feature exploration for supervised learning

Data Explorer by Keen - point-and-click interface for analyzing and visualizing event data.

Automate Data Exploration and Treatment

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

Code review for data in dbt

SQL Syntax without any database

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

Grep through all Grafana entities in the spirit of git-wtf.

Automated Tool for Optimized Modelling