# CrewAI vs MLflow

**Leader by vioscaleAI score:** MLflow

| Attribute | CrewAI | MLflow |
|---|---|---|
| **vioscaleAI score** | 65.1 (67% (medium)) | 70.4 (67% (medium)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 0 | 5,089 |
| adoption.github_stars | 59,661 | 28,260 |
| adoption.package_downloads_weekly | 4,500,329 | 9,993,245 |
| content.faq | `[{"answer":"A comprehensive platform combining an open-source Python framework for multi-agent workflows with a managed cloud control plane that adds governance, security, tracing, and deployment capabilities for enterprise production use. It is indexed under MLOps & LLMOps Tools.","source":"https://crewai.com/pricing","question":"What is CrewAI?","confidence":0.6},{"answer":"CrewAI is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Paid editions are also offered: Enterprise, priced on request. Pricing changes often, so verify at source before relying on it.","source":"https://crewai.com/pricing","question":"Is CrewAI free to use?","confidence":0.6},{"answer":"CrewAI supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://crewai.com/pricing","question":"What platforms does CrewAI support?","confidence":0.6},{"answer":"Yes. CrewAI 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://crewai.com/pricing","question":"Can CrewAI be self-hosted?","confidence":0.6},{"answer":"We have confirmed 19 integrations for CrewAI, including NVIDIA NIM, GitHub, Slack, Microsoft Teams, Arize, Galileo, DataDog and Patronus, plus 11 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://crewai.com/pricing","question":"What does CrewAI integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2 and HIPAA for CrewAI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as CrewAI not holding them. Always confirm compliance directly before you rely on it.","source":"https://trust.crewai.com","question":"What security certifications does CrewAI have?","confidence":0.7},{"answer":"Yes. CrewAI 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/joaomdmoura/crewAI","question":"Is CrewAI 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,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | CrewAI is a multi-agent automation framework that provides teams with tools to build complex agent workflows through a visual editor or code. It includes a unified control plane for managing production deployments with real-time tracing, governance policies, multi-LLM support, and deployment options for cloud or on-premises 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","evaluation":true,"managed_cloud":true,"model_serving":true,"pricing_model":"commercial_enterprise_platform","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"no_train_on_data":"unknown","llm_observability":true,"prompt_management":true,"framework_agnostic":false,"experiment_tracking":true,"architecture_paradigm":"graph_based_cycles","native_observability_and_trace_logging":true,"fault_tolerance_and_llm_retry_mechanisms":true,"native_memory_and_state_persistence_layer":true,"tool_calling_and_function_schema_validation":true,"managed_cloud_runtime_infrastructure_offered":true,"synchronous_and_asynchronous_execution_modes":true,"streaming_output_and_intermediate_step_yielding":true,"dynamic_agent_generation_and_spawning_at_runtime":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 | 18 | 9 |
| integrations.list | `[{"name":"NVIDIA NIM"},{"name":"GitHub"},{"name":"Slack"},{"name":"Microsoft Teams"},{"name":"Arize"},{"name":"Galileo"},{"name":"DataDog"},{"name":"Patronus"},{"name":"IBM Db2"},{"name":"OpenTelemetry"},{"name":"LiteLLM"},{"name":"Anthropic"},{"name":"E2B"},{"name":"Daytona"},{"name":"AWS Bedrock"},{"name":"Ollama"},{"name":"OpenAI"},{"name":"Model Context Protocol"},{"name":"SerperDev"},{"name":"Claude","native":true,"category":"llm","direction":"outbound"},{"name":"Gemini","native":true,"category":"llm","direction":"outbound"},{"name":"DashScope","native":true,"category":"llm","direction":"outbound"},{"name":"CopilotKit","native":true,"category":"frontend","direction":"bidirectional"},{"name":"Google Gemini","native":true,"category":"llm","direction":"outbound"},{"name":"OpenRouter","native":true,"category":"llm","direction":"outbound"},{"name":"Oracle","native":true,"category":"database","direction":"outbound"},{"name":"MS Entra","native":true,"category":"identity","direction":"outbound"},{"name":"Okta","native":true,"category":"identity","direction":"outbound"}]` | `[{"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 | Python |
| license.spdx | MIT | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Basic","summary":"Free with 50 monthly executions","features":["Visual editor and AI copilot","GitHub integration","Standard tools and triggers","CrewAI cloud deployment","Usage dashboard","Community support"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"Limited free tier for building and testing agentic workflows","contactSales":false,"includedLimits":{"agentic_workflows":"2","workflow_executions_per_month":"50"}},{"free":false,"name":"Enterprise","summary":"Custom pricing; includes governance, flexible deployment, and dedicated support","features":["Everything in Free, plus:","SSO (MS Entra, Okta)","Role-based access control","PII redaction and policy enforcement","Workload identity","Deploy on CrewAI cloud, customer VPC, or on-premise infrastructure","Enterprise connectors","Private agent and tools repositories","Export as MCP server","Export as UI component","OpenTelemetry tracing","LLM testing and swapping","AI agent training","Guardrails","Human-in-the-loop workflows","Slack/Teams integration","Token usage tracking","Performance metrics and deployment history","LLM management","Automatic scaling","Cron scheduling","45-day implementation onboarding","Engineering and training support"],"description":"Custom enterprise plan with governance, flexible deployment, and dedicated support","contactSales":true}],"summary":"Free tier with 50 monthly executions; Enterprise plan with custom pricing","freeTier":true,"sourceUrl":"https://crewai.com/pricing","retrievedAt":"2026-10-13T22:37:55.033Z","billingPeriods":["month"]}` | `{"type":"open_source","sourceUrl":"https://mlflow.org","retrievedAt":"2026-10-05T10:15:00.395Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | open_source |
| pricing.price_level | low | free |
| pricing.transparent | yes | yes |
| release.cadence_days | 1 | 9 |
| release.history | 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| `[{"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"}]` |
| reliability.status_page | yes | - |
| security.certifications | `[{"name":"FedRamp High","status":"active"},{"name":"SAM Certified","status":"active"}]` | - |
| security.disclosure_policy | yes | - |
| security.fedramp | yes | - |
| security.hipaa | yes | - |
| security.scorecard | - | 5.4 |
| security.soc2 | yes | - |
| security.trust_center | - | https://mlflow.org/articles/tags/ai-compliance-policies/ |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=crewai-clean&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 | CrewAI | 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 | Unknown | - |

*Source: vioscaleAI. Generated 2026-10-16T19:03:53.678Z. "-" = undocumented, not absent.*