# vLLM vs ZenML

**Leader by Vioscale score:** vLLM

| Attribute | vLLM | ZenML |
|---|---|---|
| **Vioscale score** | 67.6 (67% (medium)) | 56 (58% (medium)) |
| activity.commits_last_30d | 100 | 23 |
| adoption.dependent_repos | 5 | 44 |
| adoption.github_stars | 90,137 | 5,564 |
| adoption.package_downloads_weekly | 1,098,710 | - |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` |
| description.long | 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. | An MLOps framework that provides reproducible machine learning pipelines with automatic logging, versioning, and observability. Includes agent runtime capabilities (Kitaru) for building replayable agent workflows, deployable on your existing infrastructure without vendor lock-in. |
| features.capabilities | `{"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}` | `{"role":"platform","evaluation":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"vpc_deployment":true,"llm_observability":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 29 | 6 |
| integrations.list | `[{"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"}]` | `[{"name":"Git"},{"name":"GitHub"},{"name":"GitLab"},{"name":"Kubernetes"},{"name":"Docker"},{"name":"Poetry"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"linux":true}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://docs.vllm.ai","retrievedAt":"2026-08-14T21:53:56.648Z"}` | `{"type":"open_source","plans":[{"free":true,"name":"Open Source","summary":"Free, self-hosted","features":["Unlimited pipeline executions","Full orchestration capabilities","Automatic logging and versioning","No vendor lock-in"],"description":"Self-hosted open-source framework with unlimited deployments","contactSales":false},{"free":false,"name":"Pro","summary":"Pricing not publicly available","features":["Managed cloud hosting","Unified dashboard and observability","Advanced security controls","Enterprise integrations"],"description":"Managed cloud platform with professional features","contactSales":false}],"summary":"Free open-source tier. Paid ZenML Pro tier (details require account login)","freeTier":true,"sourceUrl":"https://www.zenml.io/blog/crewai-pricing","retrievedAt":"2026-08-14T09:25:30.580Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | commercial |
| pricing.price_level | free | free |
| pricing.transparent | yes | no |
| release.cadence_days | 9 | 14 |
| release.history | `[{"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"}]` | `[{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.3","date":"2026-08-07T13:24:25Z","type":"stable","version":"0.96.3"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.2","date":"2026-07-17T11:21:15Z","type":"stable","version":"0.96.2"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.1","date":"2026-07-02T20:38:13Z","type":"stable","version":"0.96.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.96.0","date":"2026-07-02T12:52:05Z","type":"stable","version":"0.96.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.95.1","date":"2026-06-18T12:24:26Z","type":"stable","version":"0.95.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.95.0","date":"2026-06-17T15:08:22Z","type":"stable","version":"0.95.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.6","date":"2026-06-02T10:57:18Z","type":"stable","version":"0.94.6"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.5","date":"2026-05-29T10:10:53Z","type":"stable","version":"0.94.5"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.4","date":"2026-05-12T15:13:19Z","type":"stable","version":"0.94.4"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.3","date":"2026-04-24T13:55:54Z","type":"stable","version":"0.94.3"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.2","date":"2026-04-08T15:00:24Z","type":"stable","version":"0.94.2"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.1","date":"2026-03-19T17:11:55Z","type":"stable","version":"0.94.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.94.0","date":"2026-03-04T18:22:00Z","type":"stable","version":"0.94.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.3","date":"2026-02-19T09:59:12Z","type":"stable","version":"0.93.3"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.2","date":"2026-01-29T22:30:18Z","type":"stable","version":"0.93.2"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.1","date":"2026-01-14T09:20:00Z","type":"stable","version":"0.93.1"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.93.0","date":"2025-12-16T09:19:32Z","type":"stable","version":"0.93.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.92.0","date":"2025-12-02T06:42:19Z","type":"stable","version":"0.92.0"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.91.2","date":"2025-11-19T06:31:25Z","type":"stable","version":"0.91.2"},{"url":"https://github.com/zenml-io/zenml/releases/tag/0.91.1","date":"2025-11-11T12:43:05Z","type":"stable","version":"0.91.1"}]` |
| reliability.status_page | - | yes |
| security.iso27001 | - | yes |
| security.scorecard | - | 6.8 |
| security.soc2 | - | yes |
| security.vulnerabilities | `{"count":62,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=vllm&per_page=100","last_12m":37,"max_severity":"CRITICAL"}` | `{"count":14,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=zenml&per_page=100","last_12m":1,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | vLLM | ZenML |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Model serving | 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: Vioscale. Generated 2026-09-01T16:46:15.847Z. "-" = undocumented, not absent.*