# Arize AI vs Pydantic AI

| Attribute | Arize AI | Pydantic AI |
|---|---|---|
| **vioscaleAI score** | 61.7 (70% (medium)) | 65.5 (62% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 0 |
| adoption.github_stars | - | 20,608 |
| adoption.package_downloads_weekly | - | 3,171,945 |
| content.faq | `[{"answer":"Provides real-time tracing of LLM and AI system execution, quality assessment through evaluations, and continuous improvement workflows for monitoring and refining production AI applications. It is indexed under MLOps & LLMOps Tools.","source":"https://arize.com","question":"What is Arize AI?","confidence":0.6},{"answer":"Arize 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://arize.com","question":"What platforms does Arize AI support?","confidence":0.6},{"answer":"Yes. Arize AI can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://arize.com","question":"Can Arize AI be self-hosted?","confidence":0.6},{"answer":"We have confirmed 27 integrations for Arize AI, including OpenAI, Anthropic, AWS Bedrock, Vertex AI, Google GenAI, NVIDIA NIM, Gemini and OpenRouter, plus 19 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://arize.com","question":"What does Arize AI integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, ISO 27001, HIPAA and GDPR for Arize AI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Arize AI not holding them. Always confirm compliance directly before you rely on it.","source":"https://arize.com","question":"What security certifications does Arize AI have?","confidence":0.6}]` | `[{"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 | `{"cloud":true,"hybrid":true,"self_hosted":true}` | `{"cloud":true,"on_prem":true,"self_hosted":true}` |
| description.long | Enables development teams to trace LLM application execution, run automated assessments, investigate failures, and iteratively refine AI agents and systems. Offered in two forms: an open-source self-hosted option and a managed cloud service supporting deployment across major cloud providers and on-premise infrastructure. | 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":"platform","evaluation":true,"managed_cloud":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":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 | 40 | 7 |
| integrations.list | `[{"name":"OpenAI"},{"name":"Anthropic"},{"name":"Azure OpenAI"},{"name":"AWS Bedrock"},{"name":"Vertex AI"},{"name":"Google GenAI"},{"name":"NVIDIA NIM"},{"name":"Gemini"},{"name":"OpenRouter"},{"name":"LiteLLM"},{"name":"Claude Code"},{"name":"Cursor"},{"name":"OpenCode"},{"name":"LangGraph"},{"name":"Vercel AI SDK"},{"name":"Mastra"},{"name":"CrewAI"},{"name":"LlamaIndex"},{"name":"DSPy"},{"name":"OpenAI Agents SDK"},{"name":"Claude Agent SDK"},{"name":"BigQuery"},{"name":"Databricks"},{"name":"Snowflake"},{"name":"OpenTelemetry"},{"name":"Google Vertex AI","category":"llm"},{"name":"LangChain","category":"framework"},{"name":"Google Cloud","category":"cloud"},{"name":"AWS","category":"cloud"},{"name":"Azure","category":"cloud"},{"name":"OpenLLMetry","category":"framework"},{"name":"Claude SDK","native":true},{"name":"OpenInference","native":true}]` | `[{"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 |
| license.spdx | - | MIT |
| market.availability | - | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"web":true}` |
| pricing | `{"type":"hybrid","freeTier":true,"sourceUrl":"https://arize.com","retrievedAt":"2026-09-18T15:57:59.968Z"}` | `{"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 | no | yes |
| release.cadence_days | - | 1 |
| release.history | - | `[{"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","status":"active"}]` | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"}]` |
| security.disclosure_policy | - | yes |
| security.gdpr | yes | yes |
| security.hipaa | yes | yes |
| security.iso27001 | yes | - |
| security.pci | yes | - |
| security.soc2 | yes | yes |
| security.trust_center | - | https://pydantic.dev/security |
| security.vulnerabilities | - | `{"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 | Arize AI | Pydantic AI |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | 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 |

*Source: vioscaleAI. Generated 2026-10-16T18:02:14.476Z. "-" = undocumented, not absent.*