# Kubeflow vs MLflow

**Leader by vioscaleAI score:** MLflow

| Attribute | Kubeflow | MLflow |
|---|---|---|
| **vioscaleAI score** | 45.9 (43% (low)) | 70.4 (67% (medium)) |
| activity.commits_last_30d | 1 | 100 |
| adoption.dependent_repos | 40 | 5,089 |
| adoption.github_stars | 15,902 | 28,260 |
| adoption.package_downloads_weekly | - | 9,993,245 |
| content.faq | `[{"answer":"Kubeflow is an open-source platform that provides composable, Kubernetes-native tools for the entire AI lifecycle, including model training, hyperparameter tuning, pipeline orchestration, model management, and notebook environments. It enables AI teams to build scalable ML systems on any Kubernetes infrastructure. It is indexed under MLOps & LLMOps Tools.","source":"https://kubeflow.org","question":"What is Kubeflow?","confidence":0.6},{"answer":"Kubeflow 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://kubeflow.org","question":"Is Kubeflow free to use?","confidence":0.6},{"answer":"Kubeflow supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://kubeflow.org","question":"What platforms does Kubeflow support?","confidence":0.6},{"answer":"Yes. Kubeflow can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://kubeflow.org","question":"Can Kubeflow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 9 integrations for Kubeflow, including PyTorch, TensorFlow, JAX, XGBoost, Spark, HuggingFace, DeepSpeed and Megatron, plus 1 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://kubeflow.org","question":"What does Kubeflow integrate with?","confidence":0.6},{"answer":"Yes. Kubeflow 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/kubeflow/kubeflow","question":"Is Kubeflow open source?","confidence":0.95}]` | `[{"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}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | Kubeflow is an open-source platform that provides composable, Kubernetes-native tools for the entire AI lifecycle, including model training, hyperparameter tuning, pipeline orchestration, model management, and notebook environments. It enables AI teams to build scalable ML systems on any Kubernetes infrastructure. | 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. |
| features.capabilities | `{"role":"platform","managed_cloud":false,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"no_train_on_data":"yes","framework_agnostic":true,"experiment_tracking":true}` | `{"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}` |
| integrations.count | 7 | 9 |
| integrations.list | `[{"name":"PyTorch"},{"name":"TensorFlow"},{"name":"JAX"},{"name":"XGBoost"},{"name":"Spark"},{"name":"HuggingFace"},{"name":"DeepSpeed"},{"name":"Megatron"},{"name":"MLX"}]` | `[{"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"}]` |
| language.primary | - | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://kubeflow.org","retrievedAt":"2026-10-13T13:46:28.655Z"}` | `{"type":"open_source","sourceUrl":"https://mlflow.org","retrievedAt":"2026-10-05T10:15:00.395Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | open_source |
| pricing.price_level | free | free |
| pricing.transparent | yes | yes |
| release.cadence_days | 25 | 9 |
| release.history | `[{"url":"https://github.com/kubeflow/kubeflow/releases/tag/redirect","date":"2026-04-29T13:58:28Z","type":"stable","version":"redirect"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.10.0","date":"2025-03-25T21:59:50Z","type":"stable","version":"v1.10.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.9.2","date":"2024-10-23T23:52:22Z","type":"stable","version":"v1.9.2"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.9.1","date":"2024-10-02T21:36:38Z","type":"stable","version":"v1.9.1"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.9.0","date":"2024-07-16T21:41:27Z","type":"stable","version":"v1.9.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0","date":"2023-11-01T13:36:46Z","type":"stable","version":"v1.8.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0-rc.6","date":"2023-10-31T23:06:29Z","type":"prerelease","version":"v1.8.0-rc.6"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0-rc.5","date":"2023-10-25T19:01:42Z","type":"prerelease","version":"v1.8.0-rc.5"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0-rc.4","date":"2023-10-25T12:02:17Z","type":"prerelease","version":"v1.8.0-rc.4"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0-rc.3","date":"2023-10-24T15:55:58Z","type":"prerelease","version":"v1.8.0-rc.3"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0-rc.2","date":"2023-10-16T10:37:58Z","type":"prerelease","version":"v1.8.0-rc.2"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0-rc.1","date":"2023-09-21T10:25:13Z","type":"prerelease","version":"v1.8.0-rc.1"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.8.0-rc.0","date":"2023-09-07T14:51:47Z","type":"prerelease","version":"v1.8.0-rc.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.7.0","date":"2023-03-29T15:38:55Z","type":"stable","version":"v1.7.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.6.0","date":"2022-09-07T18:12:53Z","type":"stable","version":"v1.6.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.5.0","date":"2022-03-10T17:21:38Z","type":"stable","version":"v1.5.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.5.0-rc.1","date":"2022-02-14T16:18:02Z","type":"prerelease","version":"v1.5.0-rc.1"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.5.0-rc.0","date":"2022-02-14T15:58:54Z","type":"prerelease","version":"v1.5.0-rc.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.4.0","date":"2021-10-11T21:39:04Z","type":"stable","version":"v1.4.0"},{"url":"https://github.com/kubeflow/kubeflow/releases/tag/v1.4-rc.0","date":"2021-09-14T17:18:05Z","type":"prerelease","version":"v1.4-rc.0"}]` | `[{"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"}]` |
| security.scorecard | 4.5 | 5.4 |
| security.trust_center | - | https://mlflow.org/articles/tags/ai-compliance-policies/ |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fkubeflow%2Fkubeflow%2Fcomponents%2Fprofile-controller&per_page=100","last_12m":0,"max_severity":null}` | `{"count":82,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100","last_12m":29,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Kubeflow | MLflow |
|---|:--:|:--:|
| **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 | Yes | - |

*Source: vioscaleAI. Generated 2026-10-16T21:45:56.410Z. "-" = undocumented, not absent.*