# MLflow vs Weights & Biases

**Leader by vioscaleAI score:** MLflow

| Attribute | MLflow | Weights & Biases |
|---|---|---|
| **vioscaleAI score** | 70.4 (67% (medium)) | 64.6 (44% (low)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 5,089 | 9,299 |
| adoption.github_stars | 28,260 | 11,268 |
| 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":"Weights & Biases provides an AI development platform for building and managing machine learning models with integrated experiment tracking, dataset and model management, prompt versioning, and collaborative code features. It supports multiple deployment options including cloud-hosted SaaS, dedicated instances, and self-managed deployments. It is indexed under MLOps & LLMOps Tools.","source":"https://wandb.ai","question":"What is Weights & Biases?","confidence":0.6},{"answer":"Weights & Biases supports the web and iOS. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://wandb.ai","question":"What platforms does Weights & Biases support?","confidence":0.6},{"answer":"Yes. Weights & Biases can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://wandb.ai","question":"Can Weights & Biases be self-hosted?","confidence":0.6},{"answer":"We have confirmed 10 integrations for Weights & Biases, including OpenAI, Alibaba Qwen, Meta Llama, Microsoft Phi, Hangzhou DeepSeek, Z.ai GLM, MoonshotAI Kimi and CoreWeave, plus 2 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://wandb.ai","question":"What does Weights & Biases integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001, HIPAA and GDPR for Weights & Biases. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Weights & Biases not holding them. Always confirm compliance directly before you rely on it.","source":"https://wandb.ai","question":"What security certifications does Weights & Biases have?","confidence":0.6},{"answer":"Yes. Weights & Biases is published under the MIT 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/wandb/wandb","question":"Is Weights & Biases open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":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. | A collaborative development platform that enables tracking of ML experiments, versioning of models, evaluation of AI systems, and deployment to production. It provides specialized observability and tracing capabilities for LLM applications, with support for both managed cloud and self-hosted infrastructure. |
| 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,"llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 9 | 9 |
| 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":"OpenAI"},{"name":"Alibaba Qwen"},{"name":"Meta Llama"},{"name":"Microsoft Phi"},{"name":"Hangzhou DeepSeek"},{"name":"Z.ai GLM"},{"name":"MoonshotAI Kimi"},{"name":"CoreWeave"},{"name":"LangChain","native":false},{"name":"TensorBoard","native":true},{"name":"AWS Bedrock","category":"cloud"},{"name":"Claude Code","category":"ide"},{"name":"Google Agent Development Kit"},{"name":"SambaNova Cloud","category":"cloud"},{"name":"Friendli","category":"deployment"},{"name":"deepset"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | MIT |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"ios":true,"web":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://mlflow.org","retrievedAt":"2026-10-05T10:15:00.395Z"}` | `{"type":"free","freeTier":true,"sourceUrl":"https://wandb.ai","retrievedAt":"2026-10-05T10:12:41.326Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | free |
| pricing.price_level | free | free |
| pricing.transparent | yes | no |
| release.cadence_days | 9 | 16 |
| 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/wandb/wandb/releases/tag/v0.30.0","date":"2026-09-09T00:28:20Z","type":"stable","version":"v0.30.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.29.0","date":"2026-08-26T23:44:47Z","type":"stable","version":"v0.29.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.28.2","date":"2026-08-12T01:35:26Z","type":"stable","version":"v0.28.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.28.1","date":"2026-07-16T18:48:24Z","type":"stable","version":"v0.28.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.28.0","date":"2026-06-23T00:46:58Z","type":"stable","version":"v0.28.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.27.2","date":"2026-06-06T01:48:49Z","type":"stable","version":"v0.27.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.27.1","date":"2026-06-04T06:12:42Z","type":"stable","version":"v0.27.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.27.0","date":"2026-05-14T03:45:43Z","type":"stable","version":"v0.27.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.26.1","date":"2026-04-23T16:40:38Z","type":"stable","version":"v0.26.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.26.0","date":"2026-04-13T19:45:29Z","type":"stable","version":"v0.26.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.25.1","date":"2026-03-10T23:54:02Z","type":"stable","version":"v0.25.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.25.0","date":"2026-02-13T19:44:06Z","type":"stable","version":"v0.25.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.24.2","date":"2026-02-05T00:19:26Z","type":"stable","version":"v0.24.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.24.1","date":"2026-01-29T23:47:48Z","type":"stable","version":"v0.24.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.24.0","date":"2026-01-13T23:01:48Z","type":"stable","version":"v0.24.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.23.1","date":"2025-12-03T02:27:21Z","type":"stable","version":"v0.23.1"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.23.0","date":"2025-11-11T21:27:15Z","type":"stable","version":"v0.23.0"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.22.3","date":"2025-10-29T00:00:30Z","type":"stable","version":"v0.22.3"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.22.2","date":"2025-10-07T19:55:36Z","type":"stable","version":"v0.22.2"},{"url":"https://github.com/wandb/wandb/releases/tag/v0.22.1","date":"2025-09-29T17:18:23Z","type":"stable","version":"v0.22.1"}]` |
| reliability.status_page | - | yes |
| security.certifications | - | `[{"name":"ISO/IEC 27001:2022","status":"active"},{"name":"ISO/IEC 27017:2015","status":"active"},{"name":"ISO/IEC 27018:2019","status":"active"},{"name":"SOC 2","status":"active"},{"name":"HIPAA","status":"active"},{"name":"NIST 800-53","status":"active"}]` |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 5.4 | - |
| security.soc2 | - | yes |
| security.trust_center | https://mlflow.org/articles/tags/ai-compliance-policies/ | - |
| 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":1,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=wandb&per_page=100","last_12m":0,"max_severity":"HIGH"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | MLflow | Weights & Biases |
|---|:--:|:--:|
| **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 2026-10-16T19:18:44.791Z. "-" = undocumented, not absent.*