# DSPy vs Pydantic AI

**Leader by vioscaleAI score:** Pydantic AI

| Attribute | DSPy | Pydantic AI |
|---|---|---|
| **vioscaleAI score** | 54.1 (58% (medium)) | 65.5 (62% (medium)) |
| activity.commits_last_30d | 67 | 100 |
| adoption.dependent_repos | 3 | 0 |
| adoption.github_stars | 38,644 | 20,608 |
| adoption.package_downloads_weekly | 93,838 | 3,171,945 |
| content.faq | `[{"answer":"A Python framework for developing AI applications through declarative components and modular patterns, with built-in optimization that automatically tunes system performance against defined metrics. It is indexed under MLOps & LLMOps Tools.","source":"https://dspy.ai","question":"What is DSPy?","confidence":0.6},{"answer":"DSPy is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. Pricing changes often, so verify at source before relying on it.","source":"https://dspy.ai","question":"Is DSPy free to use?","confidence":0.6},{"answer":"DSPy supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://dspy.ai","question":"What platforms does DSPy support?","confidence":0.6},{"answer":"Yes. DSPy can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://dspy.ai","question":"Can DSPy be self-hosted?","confidence":0.6},{"answer":"Yes. DSPy 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/stanfordnlp/dspy","question":"Is DSPy open source?","confidence":0.67},{"answer":"DSPy is available worldwide. The vendor is headquartered in the United States.","source":"https://dspy.ai","question":"Where is DSPy available?","confidence":0.75}]` | `[{"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 | Framework enabling developers to construct AI systems using typed task definitions and modular components, with automatic optimization replacing manual prompt design. | 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":true,"managed_cloud":false,"model_serving":false,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":false,"no_train_on_data":"unknown","llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":false}` | `{"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 | 1 | 7 |
| integrations.list | `[{"name":"OpenAI"},{"name":"Anthropic"}]` | `[{"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 | MIT | MIT |
| market.availability | `{"hqCountry":"US","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"mac":true,"web":true,"linux":true,"windows":true}` | `{"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://dspy.ai","retrievedAt":"2026-08-14T09:24:32.180Z"}` | `{"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 | open_source | freemium |
| pricing.price_level | free | mid |
| pricing.starting_price | - | `{"amount":49,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 17 | 1 |
| release.history | `[{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.4.1","date":"2026-10-12T23:12:32Z","type":"stable","version":"3.4.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.4.0","date":"2026-09-25T04:06:22Z","type":"stable","version":"3.4.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.4.0b1","date":"2026-09-11T22:24:51Z","type":"prerelease","version":"3.4.0b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.3.1","date":"2026-08-21T23:07:09Z","type":"stable","version":"3.3.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.3.0","date":"2026-08-03T20:06:03Z","type":"stable","version":"3.3.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.3.0b1","date":"2026-05-28T01:11:39Z","type":"prerelease","version":"3.3.0b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.2.1","date":"2026-05-05T19:37:48Z","type":"stable","version":"3.2.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.2.0","date":"2026-04-21T17:17:03Z","type":"stable","version":"3.2.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.3","date":"2026-02-05T16:18:52Z","type":"stable","version":"3.1.3"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.2","date":"2026-01-19T14:16:35Z","type":"stable","version":"3.1.2"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.1","date":"2026-01-19T02:30:49Z","type":"stable","version":"3.1.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.0","date":"2026-01-06T18:48:05Z","type":"stable","version":"3.1.0"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.1.0b1","date":"2025-11-18T00:26:51Z","type":"prerelease","version":"3.1.0b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.4","date":"2025-11-10T17:41:17Z","type":"stable","version":"3.0.4"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.4b2","date":"2025-10-21T23:30:37Z","type":"prerelease","version":"3.0.4b2"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.4b1","date":"2025-09-29T10:48:42Z","type":"prerelease","version":"3.0.4b1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.3","date":"2025-08-31T18:47:21Z","type":"stable","version":"3.0.3"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.2","date":"2025-08-22T11:14:18Z","type":"stable","version":"3.0.2"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.1","date":"2025-08-14T17:36:58Z","type":"stable","version":"3.0.1"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.0","date":"2025-08-12T21:02:50Z","type":"stable","version":"3.0.0"}]` | `[{"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.soc2 | - | yes |
| security.trust_center | - | https://pydantic.dev/security |
| security.vulnerabilities | `{"count":1,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=dspy&per_page=100","last_12m":1,"max_severity":"MODERATE"}` | `{"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 | DSPy | 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 | Unknown | Unknown |

*Source: vioscaleAI. Generated 2026-10-16T20:50:44.398Z. "-" = undocumented, not absent.*