# DSPy vs Pydantic AI

**Leader by Vioscale score:** Pydantic AI

| Attribute | DSPy | Pydantic AI |
|---|---|---|
| **Vioscale score** | 60.9 (68% (medium)) | 67.6 (69% (medium)) |
| activity.commits_last_30d | 67 | 100 |
| adoption.dependent_repos | 3 | 0 |
| adoption.github_stars | 37,611 | 19,517 |
| adoption.package_downloads_weekly | 156,385 | 3,171,945 |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | 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. | 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. |
| 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,"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":"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}` | `{"cli":true,"web":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://dspy.ai","retrievedAt":"2026-08-14T09:24:32.180Z"}` | `{"type":"hybrid","plans":[{"free":true,"name":"Personal","summary":"Free, 10M spans/month","features":["10M spans per month included","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 base + $2.00 per million spans overage","features":["Base subscription included","Overage billing at flat rate per span"],"commitment":"monthly","components":[{"kind":"fixed","amount":49,"period":"month","currency":"USD"},{"per":{"qty":1000000,"unit":"spans"},"kind":"metered","amount":2,"currency":"USD"}],"description":"For growing teams","contactSales":false},{"free":false,"name":"Growth","summary":"$249/month base + $2.00 per million spans overage","features":["No seat limits","Overage billing at flat rate per span","Unrestricted team access"],"commitment":"monthly","components":[{"kind":"fixed","amount":249,"period":"month","currency":"USD"},{"per":{"qty":1000000,"unit":"spans"},"kind":"metered","amount":2,"currency":"USD"}],"description":"For organizations","contactSales":false}],"summary":"Free tier (10M spans/month) or paid plans starting at $49/month with usage-based overage at $2 per million spans","currency":"USD","freeTier":true,"sourceUrl":"https://pydantic.dev/articles/ai-observability-pricing-comparison","retrievedAt":"2026-08-21T13:44:18.042Z","startingPrice":{"amount":49,"period":"month","currency":"USD"},"billingPeriods":["month"]}` |
| pricing.free_tier | yes | yes |
| pricing.model | commercial | commercial |
| pricing.price_level | free | mid |
| pricing.starting_price | - | `{"amount":49,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 18 | 1 |
| release.history | `[{"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/stanfordnlp/dspy/releases/tag/3.0.0b4","date":"2025-08-11T16:42:24Z","type":"stable","version":"3.0.0b4"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.0b3","date":"2025-07-19T16:52:19Z","type":"stable","version":"3.0.0b3"},{"url":"https://github.com/stanfordnlp/dspy/releases/tag/3.0.0b2","date":"2025-07-01T02:32:34Z","type":"stable","version":"3.0.0b2"}]` | `[{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.35.0","date":"2026-08-26T01:31:01Z","type":"stable","version":"v2.35.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.34.0","date":"2026-08-25T01:47:18Z","type":"stable","version":"v2.34.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.33.0","date":"2026-08-21T04:53:40Z","type":"stable","version":"v2.33.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.32.2","date":"2026-08-21T02:56:32Z","type":"stable","version":"v2.32.2"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.32.1","date":"2026-08-20T02:11:05Z","type":"stable","version":"v2.32.1"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.32.0","date":"2026-08-19T03:51:35Z","type":"stable","version":"v2.32.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.31.1","date":"2026-08-18T03:26:00Z","type":"stable","version":"v2.31.1"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.31.0","date":"2026-08-15T03:04:46Z","type":"stable","version":"v2.31.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.30.0","date":"2026-08-14T02:57:54Z","type":"stable","version":"v2.30.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.5","date":"2026-08-14T02:57:59Z","type":"stable","version":"v1.107.5"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.29.0","date":"2026-08-13T04:02:53Z","type":"stable","version":"v2.29.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.4","date":"2026-08-12T03:39:33Z","type":"stable","version":"v1.107.4"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.28.0","date":"2026-08-12T02:04:43Z","type":"stable","version":"v2.28.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.27.1","date":"2026-08-11T02:41:56Z","type":"stable","version":"v2.27.1"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.27.0","date":"2026-08-08T03:51:40Z","type":"stable","version":"v2.27.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v1.107.2","date":"2026-08-08T03:16:08Z","type":"stable","version":"v1.107.2"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.26.0","date":"2026-08-07T03:14:39Z","type":"stable","version":"v2.26.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.25.0","date":"2026-08-06T02:57:33Z","type":"stable","version":"v2.25.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.24.0","date":"2026-08-05T02:12:06Z","type":"stable","version":"v2.24.0"},{"url":"https://github.com/pydantic/pydantic-ai/releases/tag/v2.23.0","date":"2026-08-04T01:47:02Z","type":"stable","version":"v2.23.0"}]` |
| reliability.status_page | yes | - |
| security.disclosure_policy | - | yes |
| security.gdpr | - | yes |
| security.hipaa | - | yes |
| security.soc2 | - | yes |
| 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=npm&package_name=%40pydantic%2Fmcp-run-python&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: Vioscale. Generated 2026-09-01T14:46:37.821Z. "-" = undocumented, not absent.*