MLflow
NewThe open source AI engineering platform for agents, LLMs and ML models
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
- MLflow ranks #1 of 61 in MLOps Platforms with an AI visibility score of 50.9 (SlateIndex, Nov 2, 2026).
- MLflow is most visible on Google AI Mode (60.6) and least on Perplexity (43.7).
- AI engines name MLflow in 28 of the 30 MLOps Platforms buyer prompts SlateIndex tracks.
- amazon.com is the source AI engines cite most in answers about MLflow, with 25 citations.
About
Company details for MLflow
MLflow is an open source platform for debugging, evaluating, monitoring and optimizing LLM applications, agents and machine learning models. For generative AI it provides tracing built on OpenTelemetry, evaluation with built-in metrics and LLM judges, prompt versioning, and an AI Gateway for routing requests and controlling costs. For traditional ML it provides experiment tracking, a model registry and deployment tools. It is licensed under Apache 2.0 and can be self-hosted. It ranks #1 of 61 in MLOps Platforms on SlateIndex and has a visibility score of 50.9 in the latest weekly run.
Founded in 2018 and headquartered in San Francisco, CA, United States, the company employs an undisclosed number of people. Its differentiator: fully open source under Apache 2.0, with tracing built on OpenTelemetry and no vendor lock-in.
- Website
- mlflow.org
- Categories
- MLOps Platforms
- Headquarters
- San Francisco, CA, United States
- Founded
- 2018
- Company type
- Nonprofit
- Deployment
- Self-hosted from the open source package, started with one command or Docker.
- Integrations
- 100+ native
- Languages
- 4 supported
- Support
- Documentation, Community Slack, Mailing list mlflow-users@googlegroups.com, GitHub
Read from linkedin.com, rfp.wiki, github.com, mlflow.org · refreshed Nov 2, 2026.
AI visibility
Latest weekly run · Nov 2 · next run Nov 9
Visibility score trend
Weekly runs over the last 60 days, with up to 7 competitors. Click a name to hide or show its line.
Changes appear after the second weekly run in MLOps Platforms. MLflow leads the category at 50.9%.
Media
Website and product screenshots for MLflow
AI mentions & citations
Recent answers that name MLflow
Most affordable MLOps platform that is still reliable
My recommendation: Start with MLflow or ClearML.
How much does an MLOps platform cost per month?
Lowest licensing cost: MLflow – open-source model tracking and registry.
Is there a free MLOps platform for small teams?
My recommendation is to start with MLflow, DagsHub, or ZenML, depending on how much of the MLOps lifecycle you want covered.
What features matter most in an MLOps platform?
Look for platforms that automatically log parameters, metrics, code versions, and artifacts (like MLflow ), alongside a centralized registry to manage model versions, stages (Staging, Production), and approvals.
How do companies deploy and monitor machine learning models without a dedicated tool?
When companies lack dedicated MLOps platforms (like MLflow, Weights & Biases, or SageMaker), they fall back on standard software engineering practices, leveraging existing DevOps, cloud infrastructure, and logging tools.
How long does it take to roll out an MLOps platform?
buy (e.g., using open-source tools like MLflow/Kubeflow versus commercial platforms), and auditing existing data infrastructure.
Alternatives to the most popular MLOps platform
Assuming MLflow (widely regarded as the most popular open-source/universal MLOps tracking and registry platform) is your baseline, practitioners often look for alternatives depending on whether they want a more polished…
How much does an MLOps platform cost per month?
Examples: MLflow, Kubeflow, ZenML (open-source core), and BentoML.
Products & features
What MLflow sells
MLflow Tracing and Observability
Captures traces of LLM applications and agents, built on OpenTelemetry, to monitor quality, cost and safety.
MLflow Evaluation
Runs evaluations with 50+ built-in metrics and LLM judges, and tracks quality metrics over time.
Prompts and Optimization
Versions, tests and deploys prompts with lineage tracking, and optimizes prompts automatically.
AI Gateway
Unified OpenAI-compatible gateway for LLM providers, with rate limits, fallbacks and cost control.
Agent Server
FastAPI-based hosting for deploying agents to production endpoints.
MLflow Tracking
Records and queries experiments, including code, data, config and results.
Model Registry
Stores, annotates, discovers and manages models in a central repository.
MLflow Models
Deploys machine learning models in diverse serving environments.
Strengths engines cite
- free open-source software with no license fee
- widely adopted MLOps standard and baseline
- experiment tracking and model registry
- portability and avoiding cloud or vendor lock-in
- strong free starting point for small teams
Target market & buyers
Teams of all sizes building AI applications and machine learning models.
Funding & recent developments
Funding
| Latest known round | Total raised |
|---|---|
| — | — |
Recent developments
- Oct 2026ProductMLflow 3.17.0 released
MLflow 3.17.0 was released.
- Sep 2026ProductMLflow 3.16.0 released
MLflow 3.16.0 was released.
- Aug 2026SecurityCISA adds MLflow SSRF flaw to Known Exploited Vulnerabilities catalog
CISA added CVE-2026-64849, an unauthenticated SSRF flaw affecting MLflow versions before 3.15.0, to its Known Exploited Vulnerabilities catalog.
- May 2026ProductMLflow 3.13.0 adds role-based access control
MLflow 3.13.0 added role-based access control.
- Feb 2026ProductMLflow 3.10.0 adds multi-workspace support
MLflow 3.10.0 added multi-workspace support.
Competitive landscape
How MLflow compares with its top three alternatives
MLflow most often appears alongside Amazon SageMaker AI, AWS, Databricks in AI answers.
| Brand | Visibility | Share of voice | vs last week | Starting price |
|---|---|---|---|---|
| MLflow | 50.9% | 9.7% | New | Pricing not available |
| Amazon SageMaker AI | 44.4% | 8% | New | Pricing not available |
| AWS | 35.7% | 7.5% | New | Pricing not available |
| Databricks | 46.2% | 7.6% | New | Pricing not available |
| Google Vertex AI | 33.1% | 7.2% | New | Pricing not available |
What AI answers say
Sentiment and themes from the answers that mention this brand
Positive 44% · Neutral 41% · Mixed 15% of 68 engine answers that mention MLflow
Praised for
- free open-source software with no license fee
- widely adopted MLOps standard and baseline
- experiment tracking and model registry
- portability and avoiding cloud or vendor lock-in
- strong free starting point for small teams
Criticised for
- requires DevOps capability and significant infrastructure and integration work
- lower rating of about 4.3/5
Cite as: SlateIndex, “MLflow AI visibility profile”, https://slateindex.ai/brand/mlflow, data of Nov 2, 2026. Licence: CC BY 4.0.