# MLflow vs vLLM

**Leader by Vioscale score:** MLflow

| Attribute | MLflow | vLLM |
|---|---|---|
| **Vioscale score** | 76.2 (63% (medium)) | 67.6 (67% (medium)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 5,089 | 5 |
| adoption.github_stars | 27,687 | 90,137 |
| adoption.package_downloads_weekly | 9,993,245 | 1,098,710 |
| deployment.options | `{"on_prem":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | 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 | An open-source framework that provides optimized LLM inference with low latency and high throughput. It includes continuous batching, memory-efficient attention mechanisms, quantization support, and distributed serving across diverse hardware platforms. |
| 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,"organization_wide_cost_tracking_and_chargebacks":true}` | `{"role":"serving","open_source":true,"managed_cloud":false,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"gpu_acceleration":true,"kubernetes_native":true,"llm_observability":true,"framework_agnostic":true,"continuous_batching":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"quantization_support":true,"openai_compatible_api":true,"multi_framework_support":true}` |
| integrations.count | 15 | 29 |
| 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":"Hugging Face"},{"name":"NVIDIA Dynamo"},{"name":"OpenAI-compatible API"},{"name":"Anthropic Messages API"},{"name":"FlashAttention"},{"name":"FlashInfer"},{"name":"CUTLASS"},{"name":"torch.compile"},{"name":"gRPC"},{"name":"GPTQ"},{"name":"AWQ"},{"name":"GGUF"},{"name":"ModelOpt"},{"name":"TorchAO"},{"name":"OpenAI API"},{"name":"Kubernetes"},{"name":"PyTorch"},{"name":"Ray"},{"name":"OpenTelemetry"},{"name":"Prometheus"},{"name":"FastAPI"},{"name":"Transformers"},{"name":"Outlines"},{"name":"Google Cloud TPU"},{"name":"Intel Gaudi"},{"name":"AMD Instinct"},{"name":"Apple Silicon"},{"name":"IBM Spyre"},{"name":"Huawei Ascend"},{"name":"Rebellions NPU"},{"name":"TRTLLM-GEN"},{"name":"CuTeDSL"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true,"linux":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://mlflow.org","retrievedAt":"2026-08-14T21:35:48.733Z"}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://docs.vllm.ai","retrievedAt":"2026-08-14T21:53:56.648Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | open_source |
| pricing.price_level | free | free |
| pricing.transparent | yes | yes |
| release.cadence_days | 10 | 9 |
| 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/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/mlflow/mlflow/releases/tag/v3.9.0","date":"2026-01-29T08:49:56Z","type":"stable","version":"v3.9.0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.9.0rc0","date":"2026-01-16T04:48:57Z","type":"prerelease","version":"v3.9.0rc0"},{"url":"https://github.com/mlflow/mlflow/releases/tag/v3.8.1","date":"2025-12-27T02:56:22Z","type":"stable","version":"v3.8.1"}]` | `[{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.28.0","date":"2026-08-26T09:46:30Z","type":"stable","version":"v0.28.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.1","date":"2026-08-11T10:47:49Z","type":"stable","version":"v0.27.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.27.0","date":"2026-08-10T21:18:11Z","type":"stable","version":"v0.27.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.26.0","date":"2026-07-27T01:06:58Z","type":"stable","version":"v0.26.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.1","date":"2026-07-14T08:51:20Z","type":"stable","version":"v0.25.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.25.0","date":"2026-07-11T20:06:44Z","type":"stable","version":"v0.25.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.24.0","date":"2026-06-29T19:41:59Z","type":"stable","version":"v0.24.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.23.0","date":"2026-06-15T05:27:20Z","type":"stable","version":"v0.23.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.1","date":"2026-06-05T10:10:00Z","type":"stable","version":"v0.22.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.22.0","date":"2026-05-29T10:28:13Z","type":"stable","version":"v0.22.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.21.0","date":"2026-05-15T08:44:26Z","type":"stable","version":"v0.21.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.2","date":"2026-05-10T07:37:57Z","type":"stable","version":"v0.20.2"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.1","date":"2026-05-04T10:36:26Z","type":"stable","version":"v0.20.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.20.0","date":"2026-04-27T21:20:28Z","type":"stable","version":"v0.20.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.1","date":"2026-04-18T05:44:42Z","type":"stable","version":"v0.19.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.19.0","date":"2026-04-03T02:19:12Z","type":"stable","version":"v0.19.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.18.1","date":"2026-03-31T00:53:26Z","type":"stable","version":"v0.18.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.18.0","date":"2026-03-20T21:31:36Z","type":"stable","version":"v0.18.0"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.17.1","date":"2026-03-11T10:24:34Z","type":"stable","version":"v0.17.1"},{"url":"https://github.com/vllm-project/vllm/releases/tag/v0.17.0","date":"2026-03-07T00:46:41Z","type":"stable","version":"v0.17.0"}]` |
| security.scorecard | 5.5 | - |
| security.vulnerabilities | `{"count":80,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=mlflow&per_page=100","last_12m":27,"max_severity":"CRITICAL"}` | `{"count":62,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=vllm&per_page=100","last_12m":37,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | MLflow | vLLM |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | Model serving |
| **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: Vioscale. Generated 2026-09-01T17:06:29.596Z. "-" = undocumented, not absent.*