# KServe vs SGLang

**Leader by vioscaleAI score:** KServe

| Attribute | KServe | SGLang |
|---|---|---|
| **vioscaleAI score** | 68.3 (79% (high)) | 50.4 (10% (low)) |
| activity.commits_last_30d | 100 | - |
| adoption.dependent_repos | 178 | - |
| adoption.github_stars | 6,115 | - |
| content.faq | `[{"answer":"A Kubernetes-native platform designed for deploying both generative and predictive AI models, balancing simplicity for quick deployments with enterprise-grade capabilities for large-scale production workloads. It is indexed under Model Serving.","source":"https://kserve.github.io/website/","question":"What is KServe?","confidence":0.6},{"answer":"Yes. KServe can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://kserve.github.io/website/","question":"Can KServe be self-hosted?","confidence":0.6},{"answer":"Yes. KServe 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/kserve/kserve","question":"Is KServe open source?","confidence":0.95}]` | `[{"answer":"An open-source inference system designed for production deployments of large language and multimodal models, supporting both single-GPU and distributed cluster setups with emphasis on low latency and high throughput. It is indexed under Model Serving.","source":"https://sgl-project.github.io/","question":"What is SGLang?","confidence":0.6},{"answer":"SGLang is open source, so it can be self-hosted and used at no licence cost. Pricing changes often, so verify at source before relying on it.","source":"https://sgl-project.github.io/","question":"Is SGLang free to use?","confidence":0.6},{"answer":"Yes. SGLang can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://sgl-project.github.io/","question":"Can SGLang be self-hosted?","confidence":0.6}]` |
| deployment.options | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | An open-source platform designed to simplify deployment of machine learning models on Kubernetes while supporting complex enterprise-scale inference with multiple frameworks and advanced optimization features. | An open-source inference system designed for production deployments of large language and multimodal models, supporting both single-GPU and distributed cluster setups with emphasis on low latency and high throughput. |
| features.capabilities | `{"open_source":true,"gpu_acceleration":true,"canary_ab_rollout":true,"kubernetes_native":true,"continuous_batching":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"openai_compatible_api":true,"multi_framework_support":true,"autoscaling_scale_to_zero":true}` | `{"open_source":true,"gpu_acceleration":true,"multi_gpu_multi_node":true,"openai_compatible_api":true,"multi_framework_support":true}` |
| integrations.count | 15 | 3 |
| integrations.list | `[{"name":"Hugging Face","native":true},{"name":"TensorFlow","native":true},{"name":"PyTorch","native":true},{"name":"scikit-learn","native":true},{"name":"XGBoost","native":true},{"name":"ONNX","native":true},{"name":"vLLM","native":true},{"name":"llm-d","native":true},{"name":"Istio","native":true,"category":"service mesh","direction":"bidirectional"},{"name":"Knative Serving","native":true,"category":"serverless","direction":"bidirectional"},{"name":"Envoy","native":true,"category":"networking","direction":"bidirectional"},{"name":"OpenTelemetry","native":true,"category":"observability","direction":"inbound"},{"name":"Prometheus","native":true,"category":"monitoring","direction":"inbound"},{"name":"HuggingFace","native":true},{"name":"MLflow","native":true},{"name":"KEDA","native":true,"category":"autoscaling","direction":"bidirectional"},{"name":"Gateway API","native":true,"category":"networking","direction":"bidirectional"}]` | `[{"name":"Hugging Face"},{"name":"OpenAI"},{"name":"Slack","native":false}]` |
| language.primary | Go | - |
| license.spdx | Apache-2.0 | - |
| pricing | `{"type":"open_source","sourceUrl":"https://kserve.github.io/website/","retrievedAt":"2026-09-14T09:23:10.432Z"}` | `{"type":"open_source","sourceUrl":"https://sgl-project.github.io/","retrievedAt":"2026-09-06T13:46:39.277Z"}` |
| pricing.model | open_source | open_source |
| pricing.price_level | free | free |
| release.cadence_days | 14 | - |
| release.history | `[{"url":"https://github.com/kserve/kserve/releases/tag/v0.21.0","date":"2026-09-25T17:04:20Z","type":"stable","version":"v0.21.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.21.0-rc1","date":"2026-09-23T01:22:23Z","type":"prerelease","version":"v0.21.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.21.0-rc0","date":"2026-09-10T17:44:50Z","type":"prerelease","version":"v0.21.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.20.0","date":"2026-08-06T15:07:42Z","type":"stable","version":"v0.20.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.20.0-rc1","date":"2026-08-03T23:59:49Z","type":"prerelease","version":"v0.20.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.20.0-rc0","date":"2026-07-16T21:15:07Z","type":"prerelease","version":"v0.20.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.1","date":"2026-07-15T02:18:38Z","type":"stable","version":"v0.18.1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.19.0","date":"2026-06-14T03:09:11Z","type":"stable","version":"v0.19.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.19.0-rc0","date":"2026-05-28T02:19:27Z","type":"prerelease","version":"v0.19.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.1","date":"2026-05-21T15:30:23Z","type":"stable","version":"v0.17.1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.0","date":"2026-04-29T18:14:59Z","type":"stable","version":"v0.18.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.0-rc1","date":"2026-04-22T16:31:46Z","type":"prerelease","version":"v0.18.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.18.0-rc0","date":"2026-04-20T15:31:27Z","type":"prerelease","version":"v0.18.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.0","date":"2026-03-13T23:12:37Z","type":"stable","version":"v0.17.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.0-rc1","date":"2026-03-12T14:27:48Z","type":"prerelease","version":"v0.17.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.17.0-rc0","date":"2026-03-06T18:55:36Z","type":"prerelease","version":"v0.17.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.16.0","date":"2025-11-03T02:40:28Z","type":"stable","version":"v0.16.0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.16.0-rc1","date":"2025-10-19T19:00:03Z","type":"prerelease","version":"v0.16.0-rc1"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.16.0-rc0","date":"2025-09-15T12:18:38Z","type":"prerelease","version":"v0.16.0-rc0"},{"url":"https://github.com/kserve/kserve/releases/tag/v0.15.2","date":"2025-05-27T07:11:20Z","type":"stable","version":"v0.15.2"}]` | - |
| security.scorecard | 6 | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=kserve&per_page=100","last_12m":0,"max_severity":null}` | - |

## Capabilities (Model Serving)

| Capability | KServe | SGLang |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Continuous batching | ✓ | - |
| Dynamic batching | - | - |
| Multi framework support | ✓ | ✓ |
| GPU acceleration | ✓ | ✓ |
| Multi GPU multi node | ✓ | ✓ |
| Quantization support | - | - |
| Openai compatible API | ✓ | ✓ |
| Autoscaling scale to zero | ✓ | - |
| Multi model serving | ✓ | - |
| Canary ab rollout | ✓ | - |
| Kubernetes native | ✓ | - |
| Open source | ✓ | ✓ |

*Source: vioscaleAI. Generated 2026-10-16T20:13:22.611Z. "-" = undocumented, not absent.*