Tools
MLflow vs Opik
MLflow or Opik? Their plans monthly and yearly, the capabilities their makers state, security and latest updates, side by side — read from the makers' own pages.
In short
- Both: API, Official SDKs, Traces and evaluates
- Only MLflow states: Command line, Self-hosted, Builds agents and workflows
- Only Opik states: Agent that edits files, Knows the whole codebase, Choice of models
MLflow
MLflow is an open-source platform for tracking, evaluating, deploying, and monitoring machine learning models, LLM applications, and agents.
Plans
Not read from the maker’s page yet.
Prices checked 2026-09-25 on the maker’s page.
Capabilities
- Command line — “The easiest way to start MLflow server is to run the mlflow CLI command in your terminal.” source
- Self-hosted — “Thousands of users and organizations run their own MLflow instances to meet their specific needs.” source
- API — “This page hosts the API documentation for MLflow.” source
- Official SDKs — “Python API” source
- Builds agents and workflows — “Hands-on guides and code examples for building Agents and LLM applications with MLflow.” source
- Traces and evaluates — “Capture complete traces of your LLM applications and agents to get deep insights into their behavior.” source
Latest updates
- MLflow 3.16.0 Highlights: Build-Your-Own Trace Views, a Redesigned Trace Explorer, and Span Links (3.16.0)
Build trace views in plain English, use the trace explorer, and record links between spans.
- MLflow 3.15.0 Highlights: MCP Registry, a Smarter Assistant, and Multimodal Judges (3.15.0)
Register and share MCP servers, choose LLM providers in the Assistant, save and share Runs table views, transfer artifacts using presigned URLs, and evaluate image…
- MLflow 3.14.0 Highlights: One-Line Agent Onboarding, Review Queues, Pytest Integration, and the LLM Playground (3.14.0)
Onboard apps with mlflow agent setup, collect trace reviews, manage evaluation datasets in the UI, run pytest regression tests, and use an in-browser LLM Playground.
Opik
Opik is an open-source platform for tracing, evaluating, testing, and monitoring LLM applications and AI agents.
Plans
Open Source
Free
- Full AI observability & agent testing feature set
- True OSS: same codebase as the hosted versions
- Agent tracing & analysis
- Test Suites & assertions
- Agent Playground
Free Cloud
Free
- Up to 10 team members
- 25k spans per month
- 60-day data retention
- Agent tracing & analysis
- Test Suites & assertions
- Agent Playground
Pro Cloud
- $19 Per month
- Up to 50 team members
- 100k spans per month
- 60-day data retention
- Customizable monthly span limits
- Customizable data retention periods
Enterprise
Price on request
- Unlimited team members
- Custom usage plans
- Flexible deployments
- Service accounts and view-only users
- Single sign-on
- Dedicated support and SLAs
Prices checked 2026-09-24 on the maker’s page.
Capabilities
- Agent that edits files — “Opik’s powerful coding assistant analyzes your traces, suggests fixes, and implements them in your development code — with built-in version control and regression testing.” source
- Knows the whole codebase — “Configure it to let Ollie read your agent codebase and write fixes directly to it.” source
- Choice of models — “If you’re not ready to log traces yet, we recommend trying out the prompt playground to experiment with user prompts and system prompts and compare models side by side, with no setup steps required.” source
- API — “Opik’s REST API and complete Python client can be used with both the Open-Source platform and Opik Cloud” source
- Official SDKs — “SDKs (Python, TypeScript)” source
- Traces and evaluates — “Opik logs every step your agent takes, from user interactions to context retrieval and tool calls — with automated eval workflows to find and fix errors across development, testing, and production.” source
Security
- SOC 2 Type II — “SOC 2 Type 2” source
- SOC 2 — “SOC 2 Type 2” source
- ISO 27001 — “ISO/IEC 27001:2022” source
Latest updates
- 2.2.81-6780 (2.2.81-6780)
Provision the extended free-form SQL ClickHouse user.
- 2.2.80 (2.2.80)
- 2.2.79 (2.2.79)