# MLflow vs ZenML

**Leader by vioscaleAI score:** MLflow

| Attribute | MLflow | ZenML |
|---|---|---|
| **vioscaleAI score** | 70.4 (67% (medium)) | 60.8 (52% (medium)) |
| activity.commits_last_30d | 100 | 41 |
| adoption.dependent_repos | 5,089 | 44 |
| adoption.github_stars | 28,260 | 5,615 |
| adoption.package_downloads_weekly | 9,993,245 | - |
| content.faq | `[{"answer":"A comprehensive, open-source platform that provides experiment tracking, model registry, LLM tracing, prompt management, and deployment capabilities across the complete machine learning and AI lifecycle It is indexed under MLOps & LLMOps Tools.","source":"https://mlflow.org","question":"What is MLflow?","confidence":0.6},{"answer":"MLflow is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://mlflow.org","question":"Is MLflow free to use?","confidence":0.6},{"answer":"MLflow supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://mlflow.org","question":"What platforms does MLflow support?","confidence":0.6},{"answer":"Yes. MLflow can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://mlflow.org","question":"Can MLflow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 24 integrations for MLflow, including Databricks, AWS S3, Google Cloud Storage, Azure Storage, AzureML, Kubernetes, LangChain and Pydantic AI, plus 16 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://mlflow.org","question":"What does MLflow integrate with?","confidence":0.6},{"answer":"Yes. MLflow is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/mlflow/mlflow","question":"Is MLflow open source?","confidence":0.95}]` | `[{"answer":"An MLOps framework that provides reproducible machine learning pipelines with automatic logging, versioning, and observability. Includes agent runtime capabilities (Kitaru) for building replayable agent workflows, deployable on your existing infrastructure without vendor lock-in. It is indexed under MLOps & LLMOps Tools.","source":"https://www.zenml.io/blog/crewai-pricing","question":"What is ZenML?","confidence":0.6},{"answer":"ZenML is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Paid editions are also offered: Pro, priced on request. Pricing changes often, so verify at source before relying on it.","source":"https://www.zenml.io/blog/crewai-pricing","question":"Is ZenML free to use?","confidence":0.6},{"answer":"ZenML supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.zenml.io/blog/crewai-pricing","question":"What platforms does ZenML support?","confidence":0.6},{"answer":"Yes. ZenML can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.zenml.io/blog/crewai-pricing","question":"Can ZenML be self-hosted?","confidence":0.6},{"answer":"We have confirmed 4 integrations for ZenML, including Git, Kubernetes, Docker and Poetry. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.zenml.io/blog/crewai-pricing","question":"What does ZenML integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2 and ISO 27001 for ZenML. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as ZenML not holding them. Always confirm compliance directly before you rely on it.","source":"https://www.zenml.io","question":"What security certifications does ZenML have?","confidence":0.48},{"answer":"Yes. ZenML is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/zenml-io/zenml","question":"Is ZenML open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"hybrid":true,"self_hosted":true}` |
| description.long | A comprehensive platform that helps teams debug, evaluate, monitor, and optimize production AI applications. Provides experiment tracking, prompt management, model deployment, systematic evaluation tools, and a unified API gateway for managing access to multiple LLM providers with cost controls. | ZenML is a Python-based orchestration framework that manages machine learning pipelines and agents across any infrastructure, from local development to production Kubernetes clusters. It provides centralized artifact management, automated tracking and versioning, and enterprise-grade security compliance for reproducible AI systems. |
| features.capabilities | `{"role":"platform","evaluation":true,"open_source":true,"managed_cloud":true,"model_serving":true,"pricing_model":"free_open_source","rate_limiting":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"deployment_model":"self-hosted","llm_observability":true,"prompt_management":true,"streaming_support":true,"architecture_model":"open_source_proxy","framework_agnostic":true,"experiment_tracking":true,"budget_spend_controls":true,"guardrails_moderation":"built-in","openai_compatible_api":true,"request_cost_observability":true,"mit_or_apache_permissive_oss_license":true,"auto_fallback_routing_on_rate_limit_or_downtime":true,"organization_wide_cost_tracking_and_chargebacks":true}` | `{"role":"platform","evaluation":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 9 | 60 |
| integrations.list | `[{"name":"Databricks"},{"name":"AWS S3"},{"name":"Google Cloud Storage"},{"name":"Azure Storage"},{"name":"AzureML"},{"name":"Kubernetes"},{"name":"LangChain"},{"name":"Pydantic AI"},{"name":"Anthropic Claude"},{"name":"OpenAI"},{"name":"Google Gemini"},{"name":"SAP AI Core"},{"name":"JFrog"},{"name":"Aliyun"},{"name":"PostgreSQL"},{"name":"MySQL"},{"name":"MSSQL"},{"name":"Claude Code"},{"name":"OpenAI Codex"},{"name":"Gemini"},{"name":"Anthropic"},{"name":"Ollama"},{"name":"OpenClaw"},{"name":"Qwen Code"},{"name":"LiteLLM"},{"name":"Amazon S3"},{"name":"OpenTelemetry/OTLP"},{"name":"OpenAI-compatible endpoints"},{"name":"OpenTelemetry","native":true,"category":"observability"},{"name":"Azure ML","native":true,"category":"platform"},{"name":"AWS SageMaker","native":true,"category":"platform"},{"name":"Docker","native":true,"category":"platform"}]` | `[{"name":"Git"},{"name":"GitHub"},{"name":"GitLab"},{"name":"Kubernetes"},{"name":"Docker"},{"name":"Poetry"},{"name":"Slack","native":true,"category":"chat","direction":"bidirectional"},{"name":"ClickUp","native":true,"category":"project management","direction":"bidirectional"},{"name":"MLflow","native":true,"category":"experiment tracking","direction":"outbound"},{"name":"Databricks","native":true,"category":"data platform","direction":"bidirectional"},{"name":"Trackio","native":true,"category":"experiment tracking","direction":"outbound"},{"name":"OpenAI","native":true,"category":"LLM provider","direction":"bidirectional"},{"name":"LangGraph","native":true,"category":"workflow framework","direction":"bidirectional"},{"name":"PyTorch","native":true,"category":"ML framework","direction":"bidirectional"},{"name":"scikit-learn","native":true,"category":"ML framework","direction":"bidirectional"},{"name":"Hugging Face","native":true,"category":"model hub","direction":"bidirectional"},{"name":"LlamaIndex","native":true,"category":"RAG framework","direction":"bidirectional"},{"name":"PyTorch Lightning","native":true,"category":"ML framework","direction":"bidirectional"},{"name":"Axolotl","native":true,"category":"ML framework","direction":"bidirectional"},{"name":"AzureML","native":true,"category":"ML service","direction":"bidirectional"},{"name":"AWS","native":true,"category":"cloud provider","direction":"bidirectional"},{"name":"Google Cloud","native":true,"category":"cloud provider","direction":"bidirectional"},{"name":"Azure","native":true,"category":"cloud provider","direction":"bidirectional"},{"name":"DigitalOcean","native":true,"category":"cloud provider","direction":"bidirectional"},{"name":"Kubeflow","native":true,"category":"ML orchestration","direction":"bidirectional"},{"name":"MySQL","native":true}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | - | `{"primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"mac":true,"linux":true,"windows":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://mlflow.org","retrievedAt":"2026-10-05T10:15:00.395Z"}` | `{"type":"hybrid","plans":[{"free":true,"name":"Community","summary":"Free, self-hosted","features":["experiment tracking","pipeline orchestration","artifact storage","model versioning"],"description":"Open-source self-hosted version with no license cost","contactSales":false},{"free":false,"name":"Pro","summary":"Managed service pricing not specified","features":["managed control plane","governance","SSO","SLA support","audit trails"],"description":"Managed cloud service with governance and SSO features","contactSales":false}],"summary":"Free open-source version; managed Pro service available","currency":"USD","freeTier":true,"sourceUrl":"https://www.zenml.io/blog/clearml-pricing","retrievedAt":"2026-09-10T21:07:20.688Z","billingPeriods":["month"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | commercial |
| pricing.price_level | free | low |
| pricing.transparent | yes | no |
| release.cadence_days | 9 | 15 |
| release.history | `[{"url":"https://github.com/mlflow/mlflow/releases/tag/model-catalog/latest","date":"2026-04-06T05:49:14Z","type":"stable","version":"model-catalog/latest"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v2.11.5","date":"2026-09-23T06:17:56Z","type":"stable","version":"v2.11.5"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.16.1","date":"2026-09-17T02:40:08Z","type":"stable","version":"v3.16.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.16.0","date":"2026-09-04T08:30:54Z","type":"stable","version":"v3.16.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.2","date":"2026-08-26T08:34:31Z","type":"stable","version":"v3.15.2"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.1","date":"2026-08-03T11:09:58Z","type":"stable","version":"v3.15.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.15.0","date":"2026-07-31T08:59:13Z","type":"stable","version":"v3.15.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.14.0","date":"2026-06-17T08:50:33Z","type":"stable","version":"v3.14.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0","date":"2026-06-01T23:24:24Z","type":"stable","version":"v3.13.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.13.0rc0","date":"2026-05-22T07:41:13Z","type":"prerelease","version":"v3.13.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0","date":"2026-05-15T04:09:03Z","type":"stable","version":"ts/v0.2.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0","date":"2026-05-05T23:48:58Z","type":"stable","version":"v3.12.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.12.0rc0","date":"2026-04-28T23:25:56Z","type":"prerelease","version":"v3.12.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/ts/v0.2.0-rc.1","date":"2026-04-13T09:42:04Z","type":"prerelease","version":"ts/v0.2.0-rc.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.1","date":"2026-04-08T05:29:25Z","type":"stable","version":"v3.11.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc1","date":"2026-04-01T09:14:13Z","type":"prerelease","version":"v3.11.0rc1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.11.0rc0","date":"2026-03-16T14:02:42Z","type":"prerelease","version":"v3.11.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.1","date":"2026-03-05T14:47:14Z","type":"stable","version":"v3.10.1"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0","date":"2026-02-20T16:05:05Z","type":"stable","version":"v3.10.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.10.0rc0","date":"2026-02-12T05:01:00Z","type":"prerelease","version":"v3.10.0rc0"}]` | `[{"url":"https://github.com/zenml-io/zenml/releases/tag/0.97.0","date":"2026-09-23T13:30:23Z","type":"stable","version":"0.97.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.4","date":"2026-09-04T13:32:22Z","type":"stable","version":"0.96.4"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.3","date":"2026-08-07T13:24:25Z","type":"stable","version":"0.96.3"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.2","date":"2026-07-17T11:21:15Z","type":"stable","version":"0.96.2"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.1","date":"2026-07-02T20:38:13Z","type":"stable","version":"0.96.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.0","date":"2026-07-02T12:52:05Z","type":"stable","version":"0.96.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.95.1","date":"2026-06-18T12:24:26Z","type":"stable","version":"0.95.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.95.0","date":"2026-06-17T15:08:22Z","type":"stable","version":"0.95.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.6","date":"2026-06-02T10:57:18Z","type":"stable","version":"0.94.6"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.5","date":"2026-05-29T10:10:53Z","type":"stable","version":"0.94.5"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.4","date":"2026-05-12T15:13:19Z","type":"stable","version":"0.94.4"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.3","date":"2026-04-24T13:55:54Z","type":"stable","version":"0.94.3"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.2","date":"2026-04-08T15:00:24Z","type":"stable","version":"0.94.2"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.1","date":"2026-03-19T17:11:55Z","type":"stable","version":"0.94.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.0","date":"2026-03-04T18:22:00Z","type":"stable","version":"0.94.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.3","date":"2026-02-19T09:59:12Z","type":"stable","version":"0.93.3"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.2","date":"2026-01-29T22:30:18Z","type":"stable","version":"0.93.2"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.1","date":"2026-01-14T09:20:00Z","type":"stable","version":"0.93.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.0","date":"2025-12-16T09:19:32Z","type":"stable","version":"0.93.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.92.0","date":"2025-12-02T06:42:19Z","type":"stable","version":"0.92.0"}]` |
| reliability.status_page | - | yes |
| security.certifications | - | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"},{"name":"ISO 27001","status":"active"}]` |
| security.iso27001 | - | yes |
| security.scorecard | 5.4 | 6.8 |
| security.soc2 | - | yes |
| security.trust_center | https://mlflow.org/articles/tags/ai-compliance-policies/ | https://www.zenml.io/blog/navigating-ofgem-compliance-for-ml-systems-in-energy-a-practical-guide |
| security.vulnerabilities | `{"count":82,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100","last_12m":29,"max_severity":"CRITICAL"}` | `{"count":14,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=zenml&per_page=100","last_12m":0,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | MLflow | ZenML |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | End-to-end ML platform |
| **Deployment** |  |  |
| Self-hostable / OSS core | ✓ | ✓ |
| Managed cloud available | ✓ | ✓ |
| On-prem / VPC deployment | ✓ | ✓ |
| **Observability** |  |  |
| LLM tracing / observability | ✓ | ✓ |
| Evaluation (offline / LLM-judge / human) | ✓ | ✓ |
| **Dev** |  |  |
| Prompt management + versioning | ✓ | ✓ |
| **Tracking** |  |  |
| Experiment tracking / model registry | ✓ | ✓ |
| **Serving** |  |  |
| Model serving / inference endpoint | ✓ | ✓ |
| **Interop** |  |  |
| OpenTelemetry / OpenLLMetry compatible | ✓ | ✓ |
| Framework-agnostic | ✓ | ✓ |
| **Gateway** |  |  |
| Multi-provider model support | ✓ | ✓ |
| **Data** |  |  |
| No-train-on-customer-data guarantee | - | - |

*Source: vioscaleAI. Generated 2026-10-16T19:18:08.022Z. "-" = undocumented, not absent.*