# AutoGen vs Ray

**Leader by vioscaleAI score:** Ray

| Attribute | AutoGen | Ray |
|---|---|---|
| **vioscaleAI score** | 61.2 (56% (medium)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | 0 | 3,641 |
| adoption.github_stars | 61,388 | 44,036 |
| adoption.package_downloads_weekly | 130,424 | 11,291,327 |
| content.faq | `[{"answer":"A programming framework that enables developers to create autonomous agents and multi-agent systems using AI. It supports orchestration, tool use, and integration with various language model providers. It is indexed under MLOps & LLMOps Tools.","source":"https://microsoft.github.io/autogen","question":"What is AutoGen?","confidence":0.6},{"answer":"AutoGen is open source, so it can be self-hosted and used at no licence cost. It is released under the CC-BY-4.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://microsoft.github.io/autogen","question":"Is AutoGen free to use?","confidence":0.6},{"answer":"Yes. AutoGen can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://microsoft.github.io/autogen","question":"Can AutoGen be self-hosted?","confidence":0.6},{"answer":"We have confirmed 7 integrations for AutoGen, including OpenAI, Anthropic, Azure AI, Bedrock, Ollama, DuckDuckGo Search and Model Context Protocol (MCP). This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://microsoft.github.io/autogen","question":"What does AutoGen integrate with?","confidence":0.6},{"answer":"Yes. AutoGen is published under the CC-BY-4.0 licence, a copyleft licence, so check its terms before embedding it in a closed-source product. Licence terms can change between releases, so verify against the repository for the version you intend to use.","source":"https://github.com/microsoft/autogen","question":"Is AutoGen open source?","confidence":0.95}]` | `[{"answer":"Ray is an open-source unified framework for scaling Python and machine learning applications across any infrastructure. It provides distributed compute primitives, specialized AI libraries for data processing, model training, tuning, and serving, with seamless scaling from development environments to large clusters. It is indexed under MLOps & LLMOps Tools.","source":"https://www.ray.io","question":"What is Ray?","confidence":0.6},{"answer":"Ray offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://www.ray.io","question":"Is Ray free?","confidence":0.6},{"answer":"Ray supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.ray.io","question":"What platforms does Ray support?","confidence":0.6},{"answer":"Yes. Ray 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://www.ray.io","question":"Can Ray be self-hosted?","confidence":0.6},{"answer":"We have confirmed 19 integrations for Ray, including PyTorch, TensorFlow, AIBrix, AReaL, Cosmos Curate, Daft, Data-Juicer and DeltaCAT, plus 11 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.ray.io","question":"What does Ray integrate with?","confidence":0.6},{"answer":"Yes. Ray 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/ray-project/ray","question":"Is Ray open source?","confidence":0.67}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | A programming framework for creating applications with multiple AI agents that coordinate and communicate to solve tasks. It supports various language models, tool execution, memory management, and distributed execution with built-in observability. | Open-source framework for building and scaling distributed ML and Python applications, supporting the full pipeline from data processing and model training to inference and serving with simple APIs. |
| features.capabilities | `{"role":"framework","evaluation":false,"managed_cloud":false,"model_serving":false,"pricing_model":"free_open_source","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"no_train_on_data":"yes","llm_observability":true,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false,"architecture_paradigm":"graph_based_cycles","mit_or_apache_permissive_oss_license":true,"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,"synchronous_and_asynchronous_execution_modes":true,"streaming_output_and_intermediate_step_yielding":true,"dynamic_agent_generation_and_spawning_at_runtime":true}` | `{"role":"framework","managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 11 | 17 |
| integrations.list | `[{"name":"OpenAI"},{"name":"Anthropic"},{"name":"Azure AI"},{"name":"Bedrock"},{"name":"Ollama"},{"name":"AzureOpenAI"},{"name":"DuckDuckGo Search"},{"name":"Model Context Protocol (MCP)"},{"name":"Azure OpenAI","native":true,"category":"llm"},{"name":"Llama","native":true,"category":"llm"},{"name":"Model-Context Protocol","native":true,"category":"protocols"},{"name":"Docker","native":true,"category":"infrastructure"},{"name":"Redis","native":true,"category":"storage","direction":"bidirectional"},{"name":"DuckDuckGo","native":true,"category":"search","direction":"outbound"},{"name":"OpenTelemetry","native":true,"category":"observability","direction":"outbound"},{"name":"MCP","native":true,"category":"integration","direction":"bidirectional"},{"name":"Semantic Kernel","native":true,"category":"framework","direction":"bidirectional"}]` | `[{"name":"PyTorch"},{"name":"TensorFlow"},{"name":"AIBrix"},{"name":"AReaL"},{"name":"Cosmos Curate"},{"name":"Daft"},{"name":"Data-Juicer"},{"name":"DeltaCAT"},{"name":"Modin"},{"name":"NeMo Curator"},{"name":"NeMo-RL"},{"name":"OpenRLHF"},{"name":"RayDP"},{"name":"ROLL"},{"name":"SkyRL"},{"name":"SLIME"},{"name":"Syftr"},{"name":"verl"},{"name":"vLLM"},{"name":"Kubernetes","native":true,"category":"infrastructure"},{"name":"AWS","native":true,"category":"cloud"},{"name":"GCP","native":true,"category":"cloud"},{"name":"Azure","native":true,"category":"cloud"},{"name":"Databricks","native":true,"category":"data_platform"},{"name":"DeltaLake","native":true,"category":"data_storage"},{"name":"Spark","native":true,"category":"data_processing","direction":"bidirectional"},{"name":"Pandas","native":true,"category":"data_processing","direction":"bidirectional"}]` |
| language.primary | Python | Python |
| license.spdx | CC-BY-4.0 | Apache-2.0 |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true}` |
| pricing | `{"type":"free_open_source","summary":"Free, open-source framework","freeTier":true,"sourceUrl":"https://microsoft.github.io/autogen","retrievedAt":"2026-09-11T19:14:48.765Z"}` | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | low | free |
| pricing.transparent | yes | - |
| release.cadence_days | 8 | 18 |
| release.history | `[{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.7.5","date":"2025-09-30T06:18:26Z","type":"stable","version":"python-v0.7.5"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.7.4","date":"2025-08-19T18:50:49Z","type":"stable","version":"python-v0.7.4"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.7.3","date":"2025-08-19T08:07:55Z","type":"stable","version":"python-v0.7.3"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.7.2","date":"2025-08-07T00:29:24Z","type":"stable","version":"python-v0.7.2"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.7.1","date":"2025-07-28T08:43:20Z","type":"stable","version":"python-v0.7.1"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.6.4","date":"2025-07-09T17:52:40Z","type":"stable","version":"python-v0.6.4"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.6.2","date":"2025-07-01T00:09:01Z","type":"stable","version":"python-v0.6.2"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.6.1","date":"2025-06-05T05:58:03Z","type":"stable","version":"python-v0.6.1"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.6.0","date":"2025-06-05T00:37:44Z","type":"stable","version":"python-v0.6.0"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.5.7","date":"2025-05-14T05:02:29Z","type":"stable","version":"python-v0.5.7"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.5.6","date":"2025-05-02T22:55:03Z","type":"stable","version":"python-v0.5.6"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.5.5","date":"2025-04-25T23:56:39Z","type":"stable","version":"python-v0.5.5"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.5.4","date":"2025-04-22T17:51:07Z","type":"stable","version":"python-v0.5.4"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.5.3","date":"2025-04-17T03:36:12Z","type":"stable","version":"python-v0.5.3"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.5.2","date":"2025-04-15T03:24:39Z","type":"stable","version":"python-v0.5.2"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.5.1","date":"2025-04-03T23:37:09Z","type":"stable","version":"python-v0.5.1"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.4.9.3","date":"2025-03-29T04:40:37Z","type":"stable","version":"python-v0.4.9.3"},{"url":"https://github.com/microsoft/autogen/releases/tag/autogenstudio-v0.4.2","date":"2025-03-17T18:06:09Z","type":"stable","version":"autogenstudio-v0.4.2"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.4.9.2","date":"2025-03-14T19:40:58Z","type":"stable","version":"python-v0.4.9.2"},{"url":"https://github.com/microsoft/autogen/releases/tag/python-v0.4.9","date":"2025-03-12T07:21:31Z","type":"stable","version":"python-v0.4.9"}]` | `[{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.59.0","date":"2026-10-02T07:04:37Z","type":"stable","version":"ray-2.59.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.58.0","date":"2026-08-23T05:42:08Z","type":"stable","version":"ray-2.58.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.57.0","date":"2026-08-11T01:15:44Z","type":"stable","version":"ray-2.57.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.1","date":"2026-07-17T23:19:47Z","type":"stable","version":"ray-2.56.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.0","date":"2026-06-29T20:32:55Z","type":"stable","version":"ray-2.56.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.1","date":"2026-04-22T20:24:41Z","type":"stable","version":"ray-2.55.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.0","date":"2026-04-15T20:34:27Z","type":"stable","version":"ray-2.55.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.1","date":"2026-03-25T23:37:39Z","type":"stable","version":"ray-2.54.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.0","date":"2026-02-18T23:44:44Z","type":"stable","version":"ray-2.54.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.53.0","date":"2025-12-20T15:16:24Z","type":"stable","version":"ray-2.53.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.2","date":"2025-11-29T00:40:40Z","type":"stable","version":"ray-2.51.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.1","date":"2025-11-28T02:23:22Z","type":"stable","version":"ray-2.52.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.0","date":"2025-11-21T19:10:39Z","type":"stable","version":"ray-2.52.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.1","date":"2025-11-01T03:27:11Z","type":"stable","version":"ray-2.51.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.0","date":"2025-10-29T05:33:49Z","type":"stable","version":"ray-2.51.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.1","date":"2025-10-18T19:21:43Z","type":"stable","version":"ray-2.50.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.0","date":"2025-10-10T23:06:29Z","type":"stable","version":"ray-2.50.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.2","date":"2025-09-19T18:10:36Z","type":"stable","version":"ray-2.49.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.1","date":"2025-09-03T00:44:11Z","type":"stable","version":"ray-2.49.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.0","date":"2025-08-26T19:52:24Z","type":"stable","version":"ray-2.49.0"}]` |
| reliability.status_page | yes | yes |
| security.scorecard | 5.5 | 5.7 |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nuget&package_name=microsoft.autogen.contracts&per_page=100","last_12m":0,"max_severity":null}` | `{"count":12,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ray&per_page=100","last_12m":6,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | AutoGen | Ray |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | Agent / RAG framework |
| **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 | - |

*Source: vioscaleAI. Generated 2026-10-16T20:38:40.028Z. "-" = undocumented, not absent.*