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These quick instructions will get you up and running with Datapane in a few minutes! Check the in-depth tutorials to learn more. You could also check out our Datapane in 3 minutes video below!


Datapane's Python library and CLI can be installed using either conda or pip on macOS, Windows, or Linux. Datapane supports Python 3.6 - 3.9.

Installing Python

Instructions for installing Python can be found at

Datapane can be installed with:

conda install -c conda-forge "datapane>=0.14.0"
pip3 install datapane

Creating a report

Let’s create a simple report. In this scenario, we have a dataset and visualization that we need to share with our colleagues.

import altair as alt
from vega_datasets import data

df = data.iris()
fig = (
    .encode(x="petalLength:Q", y="petalWidth:Q", color="species:N")

Datapane makes generating a report simple – all it takes is the following.

import datapane as dp

report = dp.Report(

This will generate an HTML file, quickstarter.html, containing our interactive report:

We can now open our standalone HTML report with a web browser and email it to our colleagues who can do the same.

But what if we want to send a link to our report or embed it instead?

Uploading to Datapane Cloud

Datapane Cloud is free! Share reports privately, or embed them into platforms like Salesforce and Medium.

To get a free API key, sign up for an account at and login using the following

datapane login

Once we've logged in, the API key will be stored in the current environment.


By using upload() in place of save(), our report is uploaded to Datapane Cloud and a shareable link is generated.

We can now send this link to our colleagues or use it to embed our report on another platform.