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On this page
  • Installing the package
  • Changelog
  • End of Support Table
  • Available packages

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  1. API Reference

Python SDK

Last updated 23 days ago

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Use the Arize Python package to create datasets, run experiments, get traces, and log evaluations to Arize. You can also use our ML features to log predictions and actuals. See our API reference below.

Installing the package

pip install arize

Changelog

The Arize SDK has additional functionality that can be installed with extra dependencies:

End of Support Table

Major Release
First Released
Latest
Support

7.x

June, 2023

Ends June 1st, 2026

6.x

January, 2023

6.1.3

Ends June 1st, 2025

5.x

August, 2022

5.5.0

Ends November 1st, 2024

4.x

March, 2022

4.2.2

Ended June 1st, 2024

3.x

September, 2021

3.4.0

Ended April 1st, 2024

2.x

March, 2021

2.2.1

Ended July 1st, 2023

1.x

July, 2020

1.2.1

Ended March 1st, 2022

0.x

March, 2020

0.0.20

Ended March 1st, 2022

Available packages

Package
What It's For

arize

The primary Arize package for interfacing with Arize APIs.

Components for logging traces and running experiments for LLM applications.

Automatically generate embeddings vectors for your predictions and actuals for ML models.

Calculate evaluation metrics for your NLP Generative tasks.

Produce SHAP values using the surrogate explainability approach.

The main package is arize, and you can add additional functionality by adding extra dependencies. is the minimum required for the additional packages.

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LogoArize Python SDK Reference โ€” Arize API Reference 7.38.1 documentation
Logoclient_python/CHANGELOG.md at main ยท Arize-ai/client_pythonGitHub
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arize[Tracing]
arize[AutoEmbeddings]
arize[NLP_Metrics]
arize[MimicExplainer]