---
title: "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."
verification: "listed"
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

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Install with `pip install evidently`, prepare reference and current datasets or eval results, then generate a report in Python or the supported UI flow before approving pipeline changes.
```

## 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/)