# Arize AI vs DSPy

| Attribute | Arize AI | DSPy |
|---|---|---|
| **Vioscale score** | 70.5 (32% (low)) | 60.9 (68% (medium)) |
| activity.commits_last_30d | - | 67 |
| adoption.dependent_repos | - | 3 |
| adoption.github_stars | - | 37,611 |
| adoption.package_downloads_weekly | - | 156,385 |
| deployment.options | `{"cloud":true,"on_prem":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | An AI engineering platform that enables teams to observe agent behavior end-to-end, run evaluations at scale, and systematically improve agents through testing and experimentation, available as both a managed cloud service and self-hosted deployment. | 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. |
| 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":"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}` |
| integrations.count | 25 | 1 |
| 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":"OpenAI"}]` |
| language.primary | - | Python |
| license.spdx | - | MIT |
| market.availability | - | `{"hqCountry":"US","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` |
| platform.support | `{"cli":true,"web":true}` | `{"cli":true}` |
| pricing | - | `{"type":"open_source","freeTier":true,"sourceUrl":"https://dspy.ai","retrievedAt":"2026-08-14T09:24:32.180Z"}` |
| pricing.free_tier | - | yes |
| pricing.model | commercial | commercial |
| pricing.price_level | - | free |
| pricing.transparent | - | yes |
| release.cadence_days | - | 18 |
| 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"}]` |
| reliability.status_page | yes | yes |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.iso27001 | yes | - |
| security.pci | 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"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | Arize AI | DSPy |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | 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 | - | Unknown |

*Source: Vioscale. Generated 2026-09-01T15:09:27.232Z. "-" = undocumented, not absent.*