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

Access the parent Pandas data frame in loc[], iloc[], assign(), and others Pandas helpers

Data Exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics, and points of interest.

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

A simple widget for interactive EDA / QA. Works on top of Pandas [in Jupyter Notebook] using IPyWidgets with a sprinkle of Regex.

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

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

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

Build a data catalog by running a single line of code

An attempt to figure out the order of the movies ranked 1001-2000 on TSPDT based on available partial rankings.

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

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

Visualize and explore transects with psyplot

Visualize search-data from your gradient-free-optimization run.

Code review for data in dbt

A web interface to visualise and explore the UK Biobank

ModvisLite is a lightweight data extraction and visualization tool for working with UGC from any exposed endpoint or source.

Messy datasets? Missing values? missingno provides a small toolset of flexible and easy-to-use missing data visualizations and utilities that allows you to get a quick visual summary of the completeness (or lack thereof) of your dataset. Just pip install missingno to get started.

Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.