Alternatives to Opik
An open-source platform from Comet for debugging, evaluating and monitoring LLM applications and agents. The listings below can replace it for an important use case. Each note says what changes if you switch.
The original
Opik
An open-source platform from Comet for debugging, evaluating and monitoring LLM applications and agents.
Replacements
Listings that take over the same core job as Opik.
Langfuse
An open-source platform for tracing, evaluating and managing prompts for LLM applications and AI agents.
Langfuse combines tracing, prompt management and evaluation with annotation queues, self-hosted or hosted, and requires instrumenting your application with its SDK.
Arize Phoenix
A self-hostable tool for tracing, evaluating and experimenting with LLM applications and agents.
Arize Phoenix offers tracing, evals and experiments locally, in Docker or Kubernetes, but uses a source-available license, and some features sit in the paid Arize AX product.
LangSmith
A hosted platform for tracing, monitoring and evaluating LLM applications and AI agents.
LangSmith is a proprietary hosted platform with step-by-step agent tracing, online evals and PagerDuty alerts, and self-hosting requires Kubernetes.
MLflow
An open-source platform for tracing, evaluating and managing LLM applications, agents and machine learning models.
MLflow adds OpenTelemetry-based tracing, 50+ evaluation metrics and prompt optimization under Apache-2.0, and also covers classic model training.
Weights & Biases
A hosted platform for tracking machine learning experiments, evaluating models and tracing LLM applications.
Weights & Biases provides LLM tracing plus experiment tracking as a hosted proprietary service, so data goes to their platform rather than your own servers.
Helicone
An open-source AI gateway and observability platform for routing, logging and debugging LLM requests.
Helicone logs LLM requests and tracks costs across providers as an AI gateway, focusing on request monitoring rather than automated evaluations, under Apache-2.0.
Evidently
An open-source framework for evaluating, testing and monitoring LLM applications, RAG systems and ML models.
Evidently tests and monitors LLM and classic ML systems for drift, hallucinations and data leaks through Python code, without a tracing dashboard, under Apache-2.0.
DeepEval
An open-source Python framework for unit-testing and evaluating the outputs of large language model applications.
DeepEval replaces Opik's evaluation side with a Python unit-testing framework for LLM outputs, but has no tracing or monitoring dashboards.
Also worth comparing
These listings name Opik as their own alternative, so the relationship runs both ways.
Promptfoo
A command-line tool for testing prompts, evaluating model output and red-teaming LLM applications and agents.
Opik from Comet is a free open-source platform with a web interface that adds tracing and dashboards alongside evaluations, though self-hosting means running several services yourself.
Similar software
Related functionality, not a direct replacement.
lm-evaluation-harness
EleutherAI's command-line framework for few-shot evaluation of language models on many benchmark tasks.
Label Studio
An open-source data labeling tool for building training datasets and reviewing AI output.
