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Join hundreds of professionals already using bamboolib for fast data exploration, data wrangling, and code generation

Community Edition

For students, academic institutions, and hobbyists


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  • Support for Jupyter Notebook or Jupyter Lab on your local computer or on Binder
  • No plugins
  • Community support via GitHub
  • Documentation and cheat sheets for self-guided learning

bamboolib Pro

For businesses

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All from community edition PLUS:

  • Support for JupyterHub, Google Cloud Platform, Amazon Web Services, Microsoft Azure, and other cloud providers
  • Integrate your internal Python libraries
  • Unlimited plugins
  • Training and onboarding support to facilitate your cultural change
  • Direct support via email

Frequently Asked Questions

Any data you import into bamboolib always stays on your PC or server and never leaves it. If you use bamboolib with Jupyter Notebooks that run in the cloud like GCP, AWS, or Azure, please make sure that the cloud providers follow the same data security standards.

We support Python 3.6, 3.7, and 3.8. Please contact us if you need support for different Python versions.

bamboolib can handle as many rows and columns as the Python library pandas. The limit and performance depends on the power of your local computer. Some of our users work with data sets beyond 10 million rows and 1,000 columns.

bamboolib supports both Jupyter Notebook and JupyterLab, whether they run on your local machine, an on-premise server, or the cloud.
Databricks, Google Colab, PyCharm, VSCode are currently not supported. Is support for one of those platforms critical for your business? Please let us know so that we can discuss adding that support.

You can pay subscriptions via credit card or paypal. If you cannot use any of these methods, please contact our sales team.