# DSPy vs ReOpenly

**Leader by vioscaleAI score:** ReOpenly

| Attribute | DSPy | ReOpenly |
|---|---|---|
| **vioscaleAI score** | 54.1 (58% (medium)) | 65.5 (40% (low)) |
| activity.commits_last_30d | 67 | - |
| adoption.dependent_repos | 3 | - |
| adoption.github_stars | 38,644 | - |
| adoption.package_downloads_weekly | 93,838 | - |
| 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":"ReOpenly is an end-to-end platform that handles the infrastructure and training pipeline for fine-tuning open-source models on your dataset, then serving them via hosted API or downloading the weights for self-deployment. Smaller models tuned to specific tasks achieve comparable accuracy to large generalist models at significantly lower cost. It is indexed under MLOps & LLMOps Tools.","source":"https://reopenly.com/pt/pricing/","question":"What is ReOpenly?","confidence":0.6},{"answer":"ReOpenly offers a free tier, so you can start without paying. Paid plans start at $0.03 per GPU per minute. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://reopenly.com/pt/pricing/","question":"Is ReOpenly free?","confidence":0.6},{"answer":"We have confirmed browser-based access to ReOpenly. That is the extent of what we could verify from public sources, so it may well offer desktop or mobile clients we have not indexed.","source":"https://reopenly.com/pt/pricing/","question":"What platforms does ReOpenly support?","confidence":0.6},{"answer":"We have only confirmed a cloud / SaaS deployment for ReOpenly, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.","source":"https://reopenly.com/pt/pricing/","question":"Can ReOpenly be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for ReOpenly, including LangChain, n8n and OpenAI. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://reopenly.com/pt/pricing/","question":"What does ReOpenly integrate with?","confidence":0.6},{"answer":"ReOpenly is available worldwide. Its primary market is Brazil. The vendor is headquartered in Brazil.","source":"https://reopenly.com/pt/pricing/","question":"Where is ReOpenly available?","confidence":0.75}]` |
| deployment.options | `{"self_hosted":true}` | `{"cloud":true}` |
| description.long | Framework enabling developers to construct AI systems using typed task definitions and modular components, with automatic optimization replacing manual prompt design. | ReOpenly is an end-to-end platform that handles the infrastructure and training pipeline for fine-tuning open-source models on your dataset, then serving them via hosted API or downloading the weights for self-deployment. Smaller models tuned to specific tasks achieve comparable accuracy to large generalist models at significantly lower cost. |
| 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":"platform","evaluation":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"vpc_deployment":true,"no_train_on_data":"unknown","framework_agnostic":true}` |
| integrations.count | 1 | 3 |
| integrations.list | `[{"name":"OpenAI"},{"name":"Anthropic"}]` | `[{"name":"LangChain","category":"framework"},{"name":"n8n","category":"automation"},{"name":"OpenAI","category":"llm"}]` |
| language.primary | Python | - |
| license.spdx | MIT | - |
| market.availability | `{"hqCountry":"US","primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | `{"hqCountry":"BR","primaryMarkets":["BR"],"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":"usage","plans":[{"free":false,"name":"Pay-as-you-go","summary":"$0.03/GPU minute (training and inference)","features":["Fine-tune small open models","Hosted inference","OpenAI-compatible API","Auto-save dataset curation","Real-time training loss visualization"],"components":[{"kind":"metered","unit":"GPU","amount":0.03,"period":"minute","currency":"USD"}],"contactSales":false}],"summary":"Usage-based: $0.03 per GPU minute. New accounts receive welcome credits.","currency":"USD","freeTier":true,"sourceUrl":"https://reopenly.com/pt/pricing/","retrievedAt":"2026-09-08T13:40:11.997Z","startingPrice":{"unit":"GPU","amount":0.03,"period":"minute","currency":"USD"}}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | freemium |
| pricing.price_level | free | low |
| pricing.starting_price | - | `{"amount":0.03,"currency":"USD"}` |
| pricing.transparent | yes | yes |
| release.cadence_days | 17 | - |
| 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"}]` | - |
| reliability.status_page | yes | - |
| security.trust_center | - | https://reopenly.com/pt/privacy/ |
| 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 | DSPy | ReOpenly |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | End-to-end ML platform |
| **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 2026-10-16T20:47:31.731Z. "-" = undocumented, not absent.*