opik vs handit.ai
LLM observability and AI application reliability compared
opik and handit.ai both trace and evaluate AI applications, helping teams find and understand problems. opik emphasizes experiments, production monitoring, and deployment flexibility, while handit.ai focuses on diagnosing issues and proposing tested fixes through GitHub pull requests.
opik: Trace, Evaluate, and Monitor LLM Applications
Opik is Comet’s open-source platform for tracing, evaluating, and monitoring LLM applications, RAG systems, and AI agents. It combines framework integrations, datasets and experiments, prompt tools, and production dashboards, with cloud and self-hosted options.
handit.ai: Monitor AI Failures and Ship Fixes as PRs
Handit.ai is an AI reliability platform that monitors AI applications, evaluates interactions, and aims to diagnose failures and propose tested fixes through GitHub pull requests. It offers JavaScript/TypeScript and Python SDKs, with HTTP API integrations for other stacks.
| opik | handit.ai | |
|---|---|---|
| Language | Python | JavaScript |
| License | Apache-2.0 | MIT |
| Stars | 22.8k | 189 |
| Forks | 1.9k | 21 |
| Last analyzed | Oct 22, 2026 | Oct 31, 2026 |
Key differences
- opik supports tracing LLM calls, retrieval, and multi-step agent workflows; handit.ai focuses on instrumenting agent functions and evaluating their interactions.
- opik offers datasets, experiment comparisons, prompt tools, and CI/CD evaluations; handit.ai describes a workflow for testing proposed prompt, configuration, or code fixes against failures.
- opik can be self-hosted or used through Comet Cloud; handit.ai describes a hosted dashboard and service and requires a Handit account and API key.
- opik's listed language is Python and its SDKs include Python and TypeScript; handit.ai lists Python and JavaScript/TypeScript SDKs.
- opik uses the Apache-2.0 license and has 22.4k stars; handit.ai uses the MIT license and has 188 stars.
- opik targets teams evaluating and monitoring LLM applications, RAG systems, and agents; handit.ai is aimed at production agent teams seeking a reviewable path from detected issues to code changes.
Choose opik if you…
- need to compare experiments, prompts, or model changes against datasets and metrics.
- want to monitor traces, feedback, token usage, and online evaluation results in production.
- need the option to self-host observability data or use Comet Cloud.
Choose handit.ai if you…
- want to test proposed fixes and open GitHub pull requests for human review.
- need to track agent issues such as incorrect outputs, schema errors, or timeouts.
- operate production AI agents and want a workflow from detecting failures to proposed code changes.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.