使用Evidently为ML和LLM管道生成漂移和质量报告

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:

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• To install Evidently using the Conda installer, run:

• Source: https://github.com/1991513ccie-png/skills

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

Documentation

• https://docs.evidentlyai.com/