Ready to dive into the lake?
lakeFS is currently only
available on desktop.

For an optimal experience, provide your email below and one of our lifeguards will send you a link to start swimming in the lake!

lakeFS Community

Streamline Spark Development with lakeFS’s Enhanced Python Client

Delivering high-quality data products requires strict testing of pipelines before deploying them into production.


Today, to test ETLs, you either need to use a subset of the data, or you are  forced to create multiple copies of the entire data. Testing against sample data is not good enough. The alternative — testing against your entire data set — is costly and time consuming.

In this webinar, you will learn how to develop and test on the entire production data set with zero-copy, directly from a notebook, using the new and improved lakeFS Python client, enabling:


  • Effortless credential management utilizing environment variables (opposed to hard coded secrets).
  • Out of the box seamless integration with pre-signed URLs
  • Efficient pagination handling
  • Intuitive and consistent API structure


Amit Kesarwani

Director Solution Engineering, lakeFS

Iddo Avneri

VP Customer Success, lakeFS

Watch webinar on demand

Git for Data – lakeFS

  • Get Started
    Get Started
  • Who’s coming to Data+AI Summit? Meet the lakeFS team at Booth #69! Learn more about -

    lakeFS for Databricks