Redivis client library for python!

Connect data on Redivis to the Python scientific stack, upload new data to Redivis, and script your data management tasks!

The easiest way to get started is to create a new python notebook on Redivis. This package, alongside other common data science python packages, are all preinstalled.

You can also install the latest version of this package in any other python environment:

pip install redivis

And then you're ready to go!

import redivis

iris_table = redivis.organization("Demo").dataset("Iris species").table("Iris")
df = iris_table.to_pandas_dataframe()

View the comprehensive documentation here >

This package contains a number of methods for processing data on Redivis and interfacing with the API through python. Consult the documentation for a detailed list of all methods and accompanying examples.

Please report any issues or feature requests in the issue tracker.

Please report any issues or feature requests in the issue tracker — your feedback is much appreciated!