# Kubeflow vs LangChain

**Leader by vioscaleAI score:** LangChain

| Attribute | Kubeflow | LangChain |
|---|---|---|
| **vioscaleAI score** | 45.9 (43% (low)) | 79 (69% (medium)) |
| activity.commits_last_30d | 1 | 100 |
| adoption.dependent_repos | 40 | 18,663 |
| adoption.github_stars | 15,902 | 147,461 |
| adoption.package_downloads_weekly | - | 3,725,877 |
| 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":"An agent engineering platform providing end-to-end observability, evaluation, and deployment capabilities for production AI agents with support for multiple frameworks and deployment modes. It is indexed under MLOps & LLMOps Tools.","source":"https://www.langchain.com/pricing","question":"What is LangChain?","confidence":0.6},{"answer":"LangChain is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. A commercial or hosted edition starts at $1. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://www.langchain.com/pricing","question":"Is LangChain free to use?","confidence":0.6},{"answer":"We have confirmed browser-based access to LangChain. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://www.langchain.com/pricing","question":"What platforms does LangChain support?","confidence":0.6},{"answer":"Yes. LangChain can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.langchain.com/pricing","question":"Can LangChain be self-hosted?","confidence":0.6},{"answer":"We have confirmed 8 integrations for LangChain, including OpenAI, Anthropic, Cohere, Google, Azure AI Search, Microsoft Fabric, Azure Kubernetes Service and OpaquePrompts. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.langchain.com/pricing","question":"What does LangChain integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001, HIPAA and GDPR for LangChain. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as LangChain not holding them. Always confirm compliance directly before you rely on it.","source":"https://trust.langchain.com","question":"What security certifications does LangChain have?","confidence":0.7},{"answer":"Yes. LangChain 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/langchain-ai/langchain","question":"Is LangChain open source?","confidence":0.99},{"answer":"LangChain is available worldwide. The vendor is headquartered in the United States.","source":"https://www.langchain.com/pricing","question":"Where is LangChain available?","confidence":0.75}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"hybrid":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 unified developer platform consisting of open-source frameworks and commercial tools for building, testing, monitoring, and deploying AI agents and LLM-powered applications. |
| 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":"observability","evaluation":true,"a2a_support":true,"mcp_support":true,"open_source":true,"managed_cloud":true,"model_serving":true,"pricing_model":"usage-based-saas","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"deployment_model":"managed-platform","no_train_on_data":"unknown","streaming_output":true,"human_in_the_loop":true,"llm_observability":true,"prompt_management":true,"framework_agnostic":true,"multi_language_sdk":true,"experiment_tracking":true,"memory_architecture":"persistent","orchestration_model":"multi-agent-sequential","tool_function_calling":true,"code_execution_sandbox":true,"model_provider_agnostic":true}` |
| integrations.count | 7 | 1,000 |
| integrations.list | `[{"name":"PyTorch"},{"name":"TensorFlow"},{"name":"JAX"},{"name":"XGBoost"},{"name":"Spark"},{"name":"HuggingFace"},{"name":"DeepSpeed"},{"name":"Megatron"},{"name":"MLX"}]` | `[{"name":"OpenAI"},{"name":"Anthropic"},{"name":"Cohere"},{"name":"Google"},{"name":"Azure OpenAI"},{"name":"Azure AI Search"},{"name":"Microsoft Fabric"},{"name":"Azure Kubernetes Service"},{"name":"OpaquePrompts"},{"name":"AWS","native":true,"category":"cloud_platform","direction":"bidirectional"},{"name":"MCP (Model Context Protocol)","native":true,"category":"tool_framework","direction":"bidirectional"}]` |
| language.primary | - | Python |
| license.spdx | Apache-2.0 | MIT |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","sourceUrl":"https://kubeflow.org","retrievedAt":"2026-10-13T13:46:28.655Z"}` | `{"type":"hybrid","plans":[{"free":true,"name":"Developer","summary":"Free, 1 seat, 5k traces/month","features":["1 free seat","5000 base traces per month","Full LangSmith access"],"minSeats":1,"commitment":"monthly","components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"Personal projects with full LangSmith access and limited monthly trace allowance","contactSales":false,"includedLimits":{"traces":"5000/month"}},{"free":false,"name":"Plus","summary":"$39/seat/month, unlimited seats, 10k traces/month included","features":["Unlimited seats","10000 base traces per month","1 free small serverless deployment","Team collaboration","LangSmith Deployment service access"],"commitment":"monthly","components":[{"kind":"per_unit","unit":"seat","amount":39,"period":"month","currency":"USD"}],"description":"Teams with moderate usage, collaboration needs, and one free small serverless deployment","contactSales":false,"includedLimits":{"traces":"10000/month","serverless_deployments":"1 small"}},{"free":false,"name":"Enterprise","summary":"Custom pricing, annual billing","features":["Advanced administration options","Enhanced security controls","Priority support","Custom deployment options"],"commitment":"annual","description":"Advanced administration, enhanced security, and custom deployment options","contactSales":true}],"addOns":[{"name":"Serverless Deployments"},{"name":"Dedicated Deployments"}],"summary":"Free Developer plan. Plus plan from $39/user/mo with unlimited seats. Enterprise custom pricing billed annually.","currency":"USD","freeTier":true,"sourceUrl":"https://www.langchain.com/pricing","retrievedAt":"2026-10-05T11:09:38.893Z","startingPrice":{"unit":"seat","amount":39,"period":"month","currency":"USD"},"billingPeriods":["month","year"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | freemium |
| pricing.price_level | free | mid |
| pricing.starting_price | - | `{"amount":39,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 25 | - |
| release.history | 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| `[{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-text-splitters%3D%3D1.1.3","date":"2026-10-02T15:46:49Z","type":"stable","version":"langchain-text-splitters==1.1.3"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-openai%3D%3D1.6.7","date":"2026-09-30T15:12:17Z","type":"stable","version":"langchain-openai==1.6.7"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.6.6","date":"2026-09-29T14:53:11Z","type":"stable","version":"langchain-core==1.6.6"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-anthropic%3D%3D1.7.5","date":"2026-09-29T15:22:20Z","type":"stable","version":"langchain-anthropic==1.7.5"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain%3D%3D1.4.3","date":"2026-09-28T20:17:43Z","type":"stable","version":"langchain==1.4.3"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-fireworks%3D%3D1.7.0","date":"2026-09-28T20:46:50Z","type":"stable","version":"langchain-fireworks==1.7.0"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-fireworks%3D%3D1.6.3","date":"2026-09-25T12:57:38Z","type":"stable","version":"langchain-fireworks==1.6.3"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.6.5","date":"2026-09-24T18:11:22Z","type":"stable","version":"langchain-core==1.6.5"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-openai%3D%3D1.6.6","date":"2026-09-24T11:31:31Z","type":"stable","version":"langchain-openai==1.6.6"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-openai%3D%3D1.6.5","date":"2026-09-23T15:31:52Z","type":"stable","version":"langchain-openai==1.6.5"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-anthropic%3D%3D1.7.4","date":"2026-09-23T17:56:03Z","type":"stable","version":"langchain-anthropic==1.7.4"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-openrouter%3D%3D0.2.9","date":"2026-09-22T04:16:11Z","type":"stable","version":"langchain-openrouter==0.2.9"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-openai%3D%3D1.6.4","date":"2026-09-22T22:37:09Z","type":"stable","version":"langchain-openai==1.6.4"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-fireworks%3D%3D1.6.2","date":"2026-09-22T04:44:04Z","type":"stable","version":"langchain-fireworks==1.6.2"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-deepseek%3D%3D1.1.1","date":"2026-09-22T04:30:11Z","type":"stable","version":"langchain-deepseek==1.1.1"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-anthropic%3D%3D1.7.3","date":"2026-09-22T22:08:13Z","type":"stable","version":"langchain-anthropic==1.7.3"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-openai%3D%3D1.6.3","date":"2026-09-21T18:32:44Z","type":"stable","version":"langchain-openai==1.6.3"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-core%3D%3D1.6.4","date":"2026-09-21T15:51:23Z","type":"stable","version":"langchain-core==1.6.4"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain-typesafe%3D%3D0.0.1a3","date":"2026-09-20T18:54:54Z","type":"stable","version":"langchain-typesafe==0.0.1a3"},{"url":"https://github.com/langchain-ai/langchain/releases/tag/langchain%3D%3D1.4.2","date":"2026-09-18T17:31:25Z","type":"stable","version":"langchain==1.4.2"}]` |
| reliability.sla_pct | - | 99.5 |
| reliability.status_page | - | yes |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | 4.5 | 5.8 |
| security.soc2 | - | yes |
| security.trust_center | - | https://www.langchain.com/blog/building-governed-agents-a-framework-for-cost-control-and-compliance |
| 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":21,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=langchain&per_page=100","last_12m":2,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Kubeflow | LangChain |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | LLM observability / eval |
| **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 | Unknown |

*Source: vioscaleAI. Generated 2026-10-16T21:45:50.290Z. "-" = undocumented, not absent.*