What is PyGWalker?
It is a Python library for Exploratory Data Analysis with visualization. It can simplify your Jupyter Notebook data analysis and data visualization workflow, by turning your pandas dataframe into a Tableau-style User Interface for visual exploration.
PyGWalker is a tool in the Business Intelligence category of a tech stack.
PyGWalker is an open source tool with 5.1K GitHub stars and 164 GitHub forks. Here’s a link to PyGWalker's open source repository on GitHub
PyGWalker Integrations
PyGWalker's Features
- Exploratory Data Analysis with visualization
- Simplify your Jupyter Notebook data analysis
PyGWalker Alternatives & Comparisons
What are some alternatives to PyGWalker?
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Power BI
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
Looker
We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
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