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Observability & evaluation

Evidently

Shared reports and test suites across conventional ML data quality and LLM application evaluation.

Overview

Research summary

Evidently is a Python framework for evaluating predictive models, language-model applications, and the data they consume. It produces reports from built-in or custom metrics, turns results into pass/fail test suites, and tracks measurements over time through a monitoring interface. Supported workflows include data drift, text evaluation, retrieval applications, and model-judge scoring. Reports can be inspected interactively or exported for integration with other tools. The Apache-2.0 project can be self-hosted; Evidently Cloud offers separately managed capabilities and services.

Repository summary

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for Evidently.

Implementation details

Python evaluation library and monitoring web application

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

evidentlyai/evidently ↗

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06

Documentation

Recorded references and research provenance for this entry.

Recorded sources 4

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

Community & social 4 channels

Video

Communities

Social & updates