Opik

Evaluate, test, and ship LLM applications with a suite of observability tools to calibrate language model outputs across your dev and production lifecycle.

Thriving · 89
89/100
Thriving

High commit volume, frequent releases and growing activity.

Maintenance 38/40
Releases 25/25
Community 18/20
Momentum 8/15

Commit activity more than 95% of tracked projects; popularity more than 89%. How this is calculated.

Commits, last 11 months

2025-10: 409 commits 2025-11: 388 commits 2025-12: 289 commits 2026-01: 329 commits 2026-02: 308 commits 2026-03: 454 commits 2026-04: 496 commits 2026-05: 297 commits 2026-06: 302 commits 2026-07: 343 commits 2026-08: 295 commits
2025-10 3910 total 2026-08
Stars22k
Latest release2.2.81 · 25 Sept 2026
Repo updated27 Sept 2026
LicenceApache-2.0
Built withDocker, Python

Is Opik actively maintained?

Development is ongoing. The repository recorded 3910 commits over the same window, and the last three months alone account for 940 of them.

The most recent tagged release, 2.2.81, shipped within the last month — a current, installable version exists today.

Note that Opik depends on a third-party service to work fully. It is self-hosted, but not self-contained: if that external service changes its terms or disappears, your instance is affected.

Of the 16 projects we track in Software Development - API Management, Opik ranks #2 by health score — in the top quarter of its category.

What Opik actually does

Opik is a self-hosted platform designed to evaluate, test, and monitor large language model applications. It provides observability tools to help you calibrate model outputs and track performance throughout both the development and production lifecycles.

Best fit: Development teams building language model applications who need internal tooling to test outputs, track behaviour, and maintain quality control across environments.

Worth knowing: The platform introduces significant architectural complexity and storage requirements typical of telemetry systems, meaning you will need to monitor resource consumption carefully in production.

Deployment notes

As a Docker-based application built with Python, you will typically need to configure persistent volumes for data storage, manage environment variables for configuration, and place the container behind a reverse proxy to handle TLS termination.


Opik as a replacement for


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