Data App = pygwalker.walk(Data)

PyGWalker turns your data into interactive visualization apps with one line of code, and enables you to share your apps with one click.

Features make data analysis simple

PyGWalker provides a set of features that make data analysis much simpler, and always be scalable.

Data Cleaning Can be Easy

PyGWalker's Data Painter allows you to clean your data with an "eraser", you can remove outliers, clusters and complex patterns within seconds.

Annotation with Ad Hoc Analysis

Create new variables/labels/features in your data without break your analysis workflow. Data painter allows you to create new features on your analytical views in real-time.

Subscription Plans

Choose your plan

Boost your PyGWalker with PyGWalker Cloud to turn your visualizations into interactive web app and share them with others.

Professional

$10/month

$8 per month if paid annually

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For individuals. Development API access included.

  • Build charts with natural language queries
  • Save & share your charts in the PyGWalker Cloud
  • Publish your charts as interactive web apps with one click
  • Computation enhancement with cloud environment
  • Developer API access, 100k free credits per month
  • $0.05 / 1k credits after free credits

Team

$70/month

$56 per month if paid annually

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For team collaboration and data sharing. Development API access included.

  • Unlimited cloud storage for your team
  • Dedicated private team space
  • Datasets and charts access control
  • Developer API access, 1M free credits per month
  • $0.03 / 1k credis after free credits
  • Priority support with a 12-hour response time

Education

Free/month

Request Access

Special offer for students and educators. Requires an educational email.

  • Special collebration workspace for educational organizations
  • Build charts with natural language queries
  • Save & share your charts in the PyGWalker Cloud
  • Publish your charts as interactive web apps with one click