PromptMage helps create and manage workflows for large language models.
Open source
24 alternativesCometLLM
Opik helps debug, evaluate, and monitor LLM applications, RAG systems, and agent workflows with tracing and evaluations.
About CometLLM
Opik is an open-source platform for tracing, evaluating, and monitoring LLM applications, RAG systems, and agent workflows. It records LLM calls, conversations, and multi-step agent and tool activity, and provides datasets, experiments, and LLM-as-a-judge metrics for hallucination detection, moderation, and RAG assessment.
It also includes a prompt playground, PyTest integration for CI/CD checks, online evaluation rules, dashboards for feedback scores and token usage, and components for agent optimization and guardrails. The repository includes the server backend and web application under Apache-2.0 and can be self-hosted.
Key features
- Trace LLM calls with full trace trees for multi-step agents and tool calls
- Log conversations and annotate traces with feedback scores via SDK or UI
- Run datasets and experiments with LLM-as-a-judge metrics
- Detect hallucination, moderation issues, and assess RAG relevance
- Test LLM pipelines in CI/CD with PyTest integration
- Monitor feedback scores, trace counts, token usage in dashboards
Best for: ML engineers and AI teams building LLM-powered agents who need self-hostable observability from prototype to production.
Good for
- Apache-2.0 licensed with full platform, including backend, available for self-hosting
- Combines tracing, datasets and experiments, CI/CD testing, and production monitoring
- Supports integrations with frameworks including Google ADK, Autogen, and Flowise AI
CometLLM at a glance
- Website
- github.com/comet-ml/opik
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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