# AutoGen vs Pydantic AI

| Attribute | AutoGen | Pydantic AI |
|---|---|---|
| **vioscaleAI score** | 61.2 (56% (medium)) | 65.5 (62% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | 0 | 0 |
| adoption.github_stars | 61,388 | 20,608 |
| adoption.package_downloads_weekly | 130,424 | 3,171,945 |
| 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":"A comprehensive toolkit combining an open-source Python agent development framework with a managed observability platform designed specifically for AI applications, including monitoring, evaluation, and LLM gateway capabilities. It is indexed under MLOps & LLMOps Tools.","source":"https://pydantic.dev/articles/ai-observability-pricing-comparison","question":"What is Pydantic AI?","confidence":0.6},{"answer":"Pydantic AI 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 $2. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://pydantic.dev/articles/ai-observability-pricing-comparison","question":"Is Pydantic AI free to use?","confidence":0.6},{"answer":"Pydantic AI supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://pydantic.dev/articles/ai-observability-pricing-comparison","question":"What platforms does Pydantic AI support?","confidence":0.6},{"answer":"Yes. Pydantic AI can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://pydantic.dev/articles/ai-observability-pricing-comparison","question":"Can Pydantic AI be self-hosted?","confidence":0.6},{"answer":"We have confirmed 10 integrations for Pydantic AI, including Pydantic AI, Pydantic Evals, OpenTelemetry, Model Context Protocol (MCP), Snowflake, FastAPI, OpenAI and LangChain, plus 2 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://pydantic.dev/articles/ai-observability-pricing-comparison","question":"What does Pydantic AI integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, HIPAA and GDPR for Pydantic AI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Pydantic AI not holding them. Always confirm compliance directly before you rely on it.","source":"https://pydantic.dev/security","question":"What security certifications does Pydantic AI have?","confidence":0.7},{"answer":"Yes. Pydantic AI 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/pydantic/pydantic-ai","question":"Is Pydantic AI open source?","confidence":0.95}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"on_prem":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. | An observability and development platform for production AI agent systems that combines tracing, evaluation, and inference gateway capabilities for building reliable LLM applications. |
| 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":"observability","evaluation":true,"soc2_type_ii":true,"managed_cloud":true,"model_serving":true,"pricing_model":"commercial_enterprise_platform","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"no_train_on_data":"unknown","llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":true,"mit_or_apache_permissive_oss_license":true,"native_observability_and_trace_logging":true,"fault_tolerance_and_llm_retry_mechanisms":true,"tool_calling_and_function_schema_validation":true,"managed_cloud_runtime_infrastructure_offered":true,"synchronous_and_asynchronous_execution_modes":true,"streaming_output_and_intermediate_step_yielding":true,"dynamic_agent_generation_and_spawning_at_runtime":true}` |
| integrations.count | 11 | 7 |
| 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":"Pydantic AI"},{"name":"Pydantic Evals"},{"name":"OpenTelemetry"},{"name":"Model Context Protocol (MCP)"},{"name":"Snowflake"},{"name":"FastAPI"},{"name":"OpenAI"},{"name":"LangChain"},{"name":"HuggingFace"},{"name":"Prefect"}]` |
| language.primary | Python | Python |
| license.spdx | CC-BY-4.0 | MIT |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"web":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":"subscription","plans":[{"free":true,"name":"Personal","summary":"Free for up to 10M spans/month","features":["10M spans per month","Hard cap to prevent bill shock"],"minSeats":1,"commitment":"monthly","components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"For solo developers","contactSales":false,"includedLimits":{"spans":"10M/month"}},{"free":false,"name":"Team","summary":"$49/month + $2 per million spans","features":["Overage billing at flat rate","Seat limits apply"],"commitment":"monthly","components":[{"kind":"fixed","amount":49,"period":"month","currency":"USD"},{"per":{"qty":1,"unit":"million spans"},"kind":"metered","amount":2,"currency":"USD"}],"contactSales":false},{"free":false,"name":"Growth","summary":"$249/month + $2 per million spans, unlimited seats","features":["No seat limits","Overage billing at flat rate"],"commitment":"monthly","components":[{"kind":"fixed","amount":249,"period":"month","currency":"USD"},{"per":{"qty":1,"unit":"million spans"},"kind":"metered","amount":2,"currency":"USD"}],"contactSales":false}],"summary":"Free tier for 10M spans/month. Paid plans from $49/month with flat-rate overage pricing at $2 per million spans.","currency":"USD","freeTier":true,"sourceUrl":"https://pydantic.dev/articles/ai-observability-pricing-comparison","retrievedAt":"2026-09-13T19:28:55.779Z","startingPrice":{"amount":49,"period":"month","currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | freemium |
| pricing.price_level | low | mid |
| pricing.starting_price | - | `{"amount":49,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 8 | 1 |
| release.history | 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| `[{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/clai2-bleeding","date":"2026-10-06T01:25:23Z","type":"prerelease","version":"clai2-bleeding"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.56.0","date":"2026-10-13T23:35:15Z","type":"stable","version":"v2.56.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.55.0","date":"2026-10-09T19:20:25Z","type":"stable","version":"v2.55.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.54.0","date":"2026-10-03T03:21:28Z","type":"stable","version":"v2.54.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.53.0","date":"2026-10-02T02:52:26Z","type":"stable","version":"v2.53.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.52.0","date":"2026-09-30T00:54:20Z","type":"stable","version":"v2.52.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.7","date":"2026-09-30T00:54:21Z","type":"stable","version":"v1.107.7"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.51.0","date":"2026-09-25T23:19:04Z","type":"stable","version":"v2.51.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.50.0","date":"2026-09-25T04:47:15Z","type":"stable","version":"v2.50.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.49.0","date":"2026-09-24T03:09:53Z","type":"stable","version":"v2.49.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.48.0","date":"2026-09-23T02:41:40Z","type":"stable","version":"v2.48.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.47.0","date":"2026-09-22T03:59:32Z","type":"stable","version":"v2.47.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.46.0","date":"2026-09-19T03:51:40Z","type":"stable","version":"v2.46.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.45.0","date":"2026-09-18T04:31:12Z","type":"stable","version":"v2.45.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.44.0","date":"2026-09-17T04:03:52Z","type":"stable","version":"v2.44.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.6","date":"2026-09-17T03:30:51Z","type":"stable","version":"v1.107.6"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.43.0","date":"2026-09-12T00:54:42Z","type":"stable","version":"v2.43.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.42.0","date":"2026-09-09T03:33:32Z","type":"stable","version":"v2.42.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.41.0","date":"2026-09-08T04:15:21Z","type":"stable","version":"v2.41.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.40.0","date":"2026-09-05T00:09:37Z","type":"stable","version":"v2.40.0"}]` |
| reliability.status_page | yes | - |
| security.certifications | - | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"}]` |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.scorecard | 5.5 | - |
| security.soc2 | - | yes |
| security.trust_center | - | https://pydantic.dev/security |
| 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":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fpydantic%2Fpydantic-ai&per_page=100","last_12m":0,"max_severity":null}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | AutoGen | Pydantic AI |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | 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 2026-10-16T20:39:29.542Z. "-" = undocumented, not absent.*