# Canopy vs Ragas

| Attribute | Canopy | Ragas |
|---|---|---|
| **vioscaleAI score** | 45.4 (76% (high)) | 54 (32% (low)) |
| activity.commits_last_30d | 0 | - |
| adoption.dependent_repos | 0 | 1 |
| adoption.github_stars | 1,034 | 15,838 |
| content.faq | `[{"answer":"A modular RAG framework that handles document ingestion, embedding, storage in vector databases, and context-aware chat interactions. Built on Pinecone and compatible with multiple LLM providers, it automates the heavy lifting of chunking, embedding, retrieval, and prompt engineering for AI applications. It is indexed under RAG Tools.","source":"https://github.com/pricing","question":"What is Canopy?","confidence":0.6},{"answer":"Canopy is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://github.com/pricing","question":"Is Canopy free to use?","confidence":0.6},{"answer":"Canopy supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://github.com/pricing","question":"What platforms does Canopy support?","confidence":0.6},{"answer":"Yes. Canopy can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://github.com/pricing","question":"Can Canopy be self-hosted?","confidence":0.6},{"answer":"We have confirmed 7 integrations for Canopy, including Pinecone, Qdrant, OpenAI, OctoAI, Cohere, Anyscale and Google Cloud Run. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://github.com/pricing","question":"What does Canopy integrate with?","confidence":0.6},{"answer":"Yes. Canopy is published under the Apache-2.0 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/pinecone-io/canopy","question":"Is Canopy open source?","confidence":0.95}]` | `[{"answer":"A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels. It is indexed under RAG Tools.","source":"https://ragas.io","question":"What is Ragas?","confidence":0.6},{"answer":"Ragas is open source, so it can be self-hosted and used at no licence cost. It is released under the Apache-2.0 licence. Pricing changes often, so verify at source before relying on it.","source":"https://ragas.io","question":"Is Ragas free to use?","confidence":0.6},{"answer":"Ragas supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://ragas.io","question":"What platforms does Ragas support?","confidence":0.6},{"answer":"Yes. Ragas can be deployed self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://ragas.io","question":"Can Ragas be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for Ragas, including LlamaIndex, LangSmith and OpenAI. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://ragas.io","question":"What does Ragas integrate with?","confidence":0.6},{"answer":"Yes. Ragas is published under the Apache-2.0 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/vibrantlabsai/ragas","question":"Is Ragas open source?","confidence":0.95}]` |
| deployment.options | `{"cloud":true,"self_hosted":true}` | `{"self_hosted":true}` |
| description.long | Canopy is an open-source framework that simplifies building RAG applications by handling chunking, embedding, vector storage, chat history, and context retrieval. It provides a CLI tool to interactively evaluate your RAG workflows against non-RAG responses. | A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels. |
| features.capabilities | `{"open_source":true,"soc2_type_ii":true,"hybrid_retrieval":true,"citation_attribution":true,"llm_provider_agnostic":true,"reranking_integration":true,"built_in_rag_eval_metrics":true,"managed_ingestion_pipeline":true,"embedding_provider_agnostic":true}` | `{"open_source":true,"pricing_model":"free_open_source","architecture_model":"open_source_cli","built_in_rag_eval_metrics":true,"llm_as_a_judge_prompt_grading_framework":true,"synthetic_test_dataset_generation_from_documents":true}` |
| integrations.count | 24 | 3 |
| integrations.list | `[{"name":"Pinecone"},{"name":"Qdrant"},{"name":"OpenAI"},{"name":"OctoAI"},{"name":"Cohere"},{"name":"Anyscale"},{"name":"Azure OpenAI"},{"name":"Google Cloud Run"},{"name":"CircleCI","category":"ci"},{"name":"Azure Pipelines","category":"ci"},{"name":"Codemagic","category":"ci"},{"name":"Render","category":"ci"},{"name":"CodeRabbit","category":"code_review"},{"name":"Linear","category":"code_review"},{"name":"PullRequest","category":"code_review"},{"name":"Zenhub","category":"project_management"},{"name":"Zube","category":"project_management"},{"name":"Codecov","category":"code_quality"},{"name":"Codacy","category":"code_quality"},{"name":"CodeFactor","category":"code_quality"},{"name":"DeepScan","category":"static_analysis"},{"name":"GuardRails","category":"security"},{"name":"Coveralls","category":"code_quality"},{"name":"Rollbar","category":"error_logging"},{"name":"Mergify","category":"automation"},{"name":"Imgbot","category":"backup"},{"name":"WakaTime","category":"metrics"},{"name":"Argos Visual Testing","category":"testing"},{"name":"POEditor","category":"localization"},{"name":"Codemagic CI/CD","category":"ci_cd"},{"name":"Qlty Cloud","category":"code_quality"},{"name":"LovableBot","category":"project_sync"},{"name":"OpenCode","category":"integration"},{"name":"SentenceTransformers","native":true,"category":"embeddings","direction":"outbound"}]` | `[{"name":"LlamaIndex"},{"name":"LangSmith"},{"name":"OpenAI"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | `{"primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true}` | `{"cli":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","features":["Public repositories","2000 CI/CD minutes per month","Pull request collaboration","Project wiki","Dependabot vulnerability alerts"],"description":"Public repository hosting with basic collaboration and continuous integration features","contactSales":false,"includedLimits":{"ci_cd_minutes_per_month":"2000"}},{"free":false,"name":"Codespaces","components":[{"per":{"qty":1,"unit":"hour"},"kind":"metered","amount":0.18,"currency":"USD"},{"per":{"qty":1,"unit":"GB"},"kind":"metered","amount":0.07,"currency":"USD"}],"description":"Cloud-based development environments","contactSales":false},{"free":false,"name":"Enterprise Cloud","description":"Multi-tenant cloud solution with regional deployment and advanced administration features","contactSales":true}],"summary":"Free tier available. Usage-based Codespaces pricing starting at $0.18/hour compute and $0.07/GB storage. Enterprise plans available.","currency":"USD","freeTier":true,"sourceUrl":"https://github.com/pricing","retrievedAt":"2026-09-14T18:14:24.991Z","startingPrice":{"unit":"GB","amount":0.07,"currency":"USD"},"billingPeriods":["month"]}` | `{"type":"open_source","freeTier":true,"sourceUrl":"https://ragas.io","retrievedAt":"2026-08-21T13:52:19.928Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | commercial |
| pricing.price_level | free | free |
| pricing.starting_price | `{"amount":0.07,"currency":"USD"}` | - |
| pricing.transparent | no | yes |
| release.cadence_days | 3 | 7 |
| release.history | `[{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.9.0","date":"2024-03-31T07:52:40Z","type":"stable","version":"v0.9.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.8.1","date":"2024-03-06T14:35:29Z","type":"stable","version":"v0.8.1"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.8.0","date":"2024-02-15T14:55:40Z","type":"stable","version":"v0.8.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.7.0","date":"2024-02-15T09:32:37Z","type":"stable","version":"v0.7.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/v0.6.0","date":"2024-01-16T16:04:02Z","type":"stable","version":"v0.6.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.5.0","date":"2023-12-13T16:49:26Z","type":"stable","version":"V0.5.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.3.0","date":"2023-12-10T21:42:05Z","type":"stable","version":"V0.3.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.4.0a0","date":"2023-12-10T22:17:39Z","type":"prerelease","version":"V0.4.0a0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.2.0","date":"2023-11-16T15:28:52Z","type":"stable","version":"V0.2.0"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.4","date":"2023-11-14T15:11:39Z","type":"stable","version":"V0.1.4"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.3","date":"2023-11-09T21:34:34Z","type":"stable","version":"V0.1.3"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.2","date":"2023-11-08T22:58:09Z","type":"stable","version":"V0.1.2"},{"url":"https://github.com/pinecone-io/canopy/releases/tag/V0.1.1","date":"2023-11-07T16:58:06Z","type":"stable","version":"V0.1.1"}]` | `[{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.3","date":"2026-01-13T17:47:29Z","type":"stable","version":"v0.4.3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.2","date":"2025-12-23T17:13:41Z","type":"stable","version":"v0.4.2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.1","date":"2025-12-10T16:28:51Z","type":"stable","version":"v0.4.1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.0","date":"2025-12-03T16:22:29Z","type":"stable","version":"v0.4.0"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.9","date":"2025-11-11T17:24:46Z","type":"stable","version":"v0.3.9"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.8","date":"2025-10-28T19:09:17Z","type":"stable","version":"v0.3.8"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.7","date":"2025-10-14T16:21:37Z","type":"stable","version":"v0.3.7"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.6","date":"2025-10-03T03:56:31Z","type":"stable","version":"v0.3.6"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5","date":"2025-09-17T19:13:15Z","type":"stable","version":"v0.3.5"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc2","date":"2025-09-17T17:40:25Z","type":"prerelease","version":"v0.3.5rc2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc1","date":"2025-09-17T17:31:23Z","type":"prerelease","version":"v0.3.5rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.4","date":"2025-09-10T23:57:28Z","type":"stable","version":"v0.3.4"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3","date":"2025-09-04T17:59:51Z","type":"stable","version":"v0.3.3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3rc1","date":"2025-09-04T17:46:09Z","type":"prerelease","version":"v0.3.3rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2","date":"2025-08-19T12:03:50Z","type":"stable","version":"v0.3.2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2rc3","date":"2025-08-19T12:01:12Z","type":"prerelease","version":"v0.3.2rc3"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2-rc2","date":"2025-08-19T11:49:23Z","type":"prerelease","version":"v0.3.2-rc2"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2-rc1","date":"2025-08-19T10:28:33Z","type":"prerelease","version":"v0.3.2-rc1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.1","date":"2025-08-11T11:15:03Z","type":"stable","version":"v0.3.1"},{"url":"https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.0","date":"2025-07-17T05:32:24Z","type":"stable","version":"v0.3.0"}]` |
| security.certifications | `[{"name":"SOC 2 Type 2","level":"Type 2","status":"active","auditor":"AICPA"}]` | - |
| security.fedramp | yes | - |
| security.gdpr | yes | - |
| security.soc2 | yes | - |
| security.trust_center | https://github.com/security | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=go&package_name=github.com%2Fpinecone-io%2Fcanopy&per_page=100","last_12m":0,"max_severity":null}` | `{"count":2,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ragas&per_page=100","last_12m":2,"max_severity":"HIGH"}` |

## Capabilities (RAG Tools)

| Capability | Canopy | Ragas |
|---|:--:|:--:|
| **Capabilities** |  |  |
| Hybrid retrieval | ✓ | - |
| Reranking integration | ✓ | - |
| Multi hop agentic retrieval | - | - |
| Embedding provider agnostic | ✓ | - |
| LLM provider agnostic | ✓ | - |
| Built in rag eval metrics | ✓ | ✓ |
| Citation attribution | ✓ | - |
| Multimodal rag | - | - |
| Managed ingestion pipeline | ✓ | - |
| Open source | ✓ | ✓ |

*Source: vioscaleAI. Generated 2026-10-17T09:40:23.875Z. "-" = undocumented, not absent.*