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Generate Drift And Quality Reports For Ml And Llm Pipelines With Evidently

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Produce repeatable drift and quality reports after data, model, or prompt changes so regressions are visible before rollout.

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  • Added June 8, 2026
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Scanned June 8, 2026

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SKILL.md
---
name: "Generate drift and quality reports for ML and LLM pipelines with Evidently"
slug: "generate-drift-and-quality-reports-for-ml-and-llm-pipelines-with-evidently"
description: "Produce repeatable drift and quality reports after data, model, or prompt changes so regressions are visible before rollout."
github_stars: 7386
verification: "security_reviewed"
source: "https://github.com/evidentlyai/evidently"
author: "Evidently AI"
publisher_type: "organization"
category: "Monitoring & Alerts"
framework: "Multi-Framework"
tool_ecosystem:
  github_repo: "evidentlyai/evidently"
  github_stars: 7386
---

# Generate drift and quality reports for ML and LLM pipelines with Evidently

Produce repeatable drift and quality reports after data, model, or prompt changes so regressions are visible before rollout.

## Prerequisites

Python 3.9+, pip, datasets or eval outputs for comparison

## Installation

Use the upstream install or setup path that matches your environment:
- pip install evidently
- conda install -c conda-forge evidently
- uv run --with evidently evidently ui --demo-projects all
- pip install virtualenv

Requirements and caveats from upstream:
- Evidently is an open-source Python library to evaluate, test, and monitor ML and LLM systems—from experiments to production.
- 🛠️ Python interface for custom metrics.
- View interactive Reports in Python or export as JSON, Python dictionary, HTML, or view in monitoring UI.

Basic usage or getting-started notes:
- |![Report example](https://github.com/evidentlyai/docs/blob/eb1630cdd80d31d55921ff4d34fc7b5e6e9c9f90/images/concepts/report_test_preview.gif)|
- |![Dashboard example](https://github.com/evidentlyai/docs/blob/eb1630cdd80d31d55921ff4d34fc7b5e6e9c9f90/images/dashboard_llm_tabs.gif)|
- To install Evidently using the Conda installer, run:

- Source: https://github.com/evidentlyai/evidently
- Extracted from upstream docs: https://raw.githubusercontent.com/evidentlyai/evidently/HEAD/README.md

## Documentation

- https://docs.evidentlyai.com/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/generate-drift-and-quality-reports-for-ml-and-llm-pipelines-with-evidently/)

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