- Pricing
- freemium
- From
- $19 a month
- Free tier
- Yes
What we think
Not rated yet
What readers think
Not rated yet
Best for
ML and AI engineering teams that need to trace, evaluate and monitor LLM applications and agents, and data science teams that track and reproduce model training runs.
What it is
Comet is an AI developer platform with two product families: Opik, for LLM and agent observability, evaluation and optimization, and an MLOps platform for experiment tracking, dataset management, model registry and production monitoring. Opik logs traces from LLM applications and agents, runs test suites and evaluations, and includes an assistant that reads traces and proposes code fixes. The MLOps side is used by data science and ML engineering teams to record, compare and reproduce training runs.
Best forML and AI engineering teams that need to trace, evaluate and monitor LLM applications and agents, and data science teams that track and reproduce model training runs.
Features
LLM and agent tracing
Logs each step of an LLM application or agent, including context retrieval, tool calls, model responses, token counts and latencies, with 60+ integrations and an MCP server.
Test Suites and evaluations
Pass/fail assertions at item and suite level, evaluation datasets, experiments, and 30+ built-in LLM-as-a-judge and heuristic metrics, plus custom metrics.
Ollie assistant
An agent inside Opik that reads traces, groups recurring issues, recommends fixes, and with Opik Connect can read a codebase and propose edits for review.
Prompt management and optimization
Prompt library, versioning, playground and building UI, plus an optimizer with native support for 8+ algorithms such as Evolutionary, Few-Shot Bayesian, MetaPrompt, MIPRO and GEPA.
Production monitoring and guardrails
Production-scale trace monitoring, online evaluation, alerts via webhook, and PII, topic and custom guardrails for self-hosted deployments.
ML experiment tracking
Records, compares and analyzes training runs, with Python visualizations, hyperparameter search and dataset versioning.
Model registry and production monitoring
Centralizes model versioning and deployment, with data drift detection, feature distribution analysis and custom SQL metrics.
Deployment options
Cloud, self-hosted open source, on-premises and managed deployments; enterprise adds SSO, service accounts and view-only users.
Comet provides Opik for LLM and agent tracing, evaluation and optimization, plus an MLOps platform for ML experiment tracking and model management.
Pros
- •A free tier exists for both Opik Cloud and MLOps, and the page says no credit card is required.
- •Opik has a self-hostable open-source version using the same codebase as the hosted product.
- •Opik Free Cloud includes up to 10 team members and 25k spans per month with 60-day retention.
- •Opik integrates with 60+ frameworks and providers and supports OpenTelemetry.
- •Enterprise plans list SOC 2, ISO 27001, ISO 9001, HIPAA and GDPR compliance.
Cons
- •Opik Free and Pro Cloud both cap span data retention at 60 days; longer retention costs $29 per 100k spans.
- •Opik Pro Cloud is limited to 50 team members and 100k spans per month.
- •MLOps Free is limited to 1 platform user, and MLOps Pro to 10 users.
- •AI guardrails are listed as available only for self-hosted deployment.
The link above may earn us a commission. We earn it whether we praised the tool or not, which is why nothing on this page moves for it.