LogoLogo
HomeBlogGitHub
v0.1.57
v0.1.57
  • What is Evidently?
  • Installation
  • Get Started Tutorial
  • Reports
    • Data Drift
    • Data Quality
    • Numerical Target Drift
    • Categorical Target Drift
    • Regression Performance
    • Classification Performance
    • Probabilistic Classification Performance
  • Tests
  • Examples
  • Integrations
    • Evidently and Grafana
    • Evidently and Airflow
    • Evidently and MLflow
  • Features
    • Dashboards
      • Input data
      • Column mapping
      • Generate dashboards
      • CLI
      • Colab and other environments
    • Profiling
      • Input data
      • Column mapping
      • Generate profiles
      • CLI
    • Monitoring
  • User Guide
    • Customization
      • Select Widgets
      • Custom Widgets and Tabs
      • Options for Data / Target drift
      • Options for Quality Metrics
      • Options for Statistical Tests
      • Options for Color Schema
    • Recipes
  • SUPPORT
    • Contact
    • F.A.Q.
    • Telemetry
    • Changelog
  • GitHub Page
  • Website
Powered by GitBook
On this page
  • Installing from PyPI
  • MAC OS and Linux
  • Windows

Installation

Installing from PyPI

MAC OS and Linux

Evidently is available as a PyPI package.

To install it using the pip package manager, run:

$ pip install evidently

The tool helps build interactive reports in a Jupyter notebook or as a separate HTML file, and generate JSON profiles.

If you only want to generate interactive reports as HTML files or JSON profiles, the installation is now complete.

To display dashboards in a Jupyter notebook, we use jupyter nbextension. If you want to see reports inside a Jupyter notebook, then after installing evidently you should run the two following commands in the terminal from the Evidently directory.

To install jupyter nbextension, run:

$ jupyter nbextension install --sys-prefix --symlink --overwrite --py evidently

To enable it, run:

$ jupyter nbextension enable evidently --py --sys-prefix

That's it!

Note: a single run after the installation is enough. There is no need to repeat the last two commands every time.

Note: if you use Jupyter Lab, you may experience difficulties with exploring reports inside a Jupyter notebook. However, the report generation in a separate HTML file will work correctly.

Google Colab, Kaggle Kernel, Deepnote

You can run evidently in Google Colab, Kaggle Notebook and Deepnote.

To install evidently, run the following command in the notebook cell:

!pip install evidently

There is no need to enable nbextension for this case. Evidently uses an alternative way to display visuals in the hosted notebooks.

Windows

Evidently is available as a PyPI package.

To install it using the pip package manager, run:

$ pip install evidently

The tool helps build interactive reports in a Jupyter notebook or as a separate HTML file, and generate JSON profiles.

Unfortunately, building reports inside a Jupyter notebook is not yet possible for Windows. The reason is Windows requires administrator privileges to create symlink. In later versions, we will address this issue.

PreviousWhat is Evidently?NextGet Started Tutorial

Last updated 2 years ago