# DVC vs Ray

**Leader by vioscaleAI score:** Ray

| Attribute | DVC | Ray |
|---|---|---|
| **vioscaleAI score** | 44.3 (44% (low)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | 0 | 100 |
| adoption.dependent_repos | 12 | 3,641 |
| adoption.github_stars | 15,924 | 44,036 |
| adoption.package_downloads_weekly | - | 11,291,327 |
| content.faq | `[{"answer":"A command-line tool that enables data science teams to version control datasets and models alongside code using Git-based workflows. It supports experiment tracking, local execution without servers, multi-step data pipelines, and integration with cloud storage providers. It is indexed under MLOps & LLMOps Tools.","source":"https://dvc.org","question":"What is DVC?","confidence":0.6},{"answer":"DVC 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://dvc.org","question":"Is DVC free to use?","confidence":0.6},{"answer":"DVC supports Windows, macOS, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://dvc.org","question":"What platforms does DVC support?","confidence":0.6},{"answer":"Yes. DVC can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://dvc.org","question":"Can DVC be self-hosted?","confidence":0.6},{"answer":"We have confirmed 6 integrations for DVC, including S3, Azure, Google Cloud Storage, Hydra, WebDAV and SSH. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://dvc.org","question":"What does DVC integrate with?","confidence":0.6},{"answer":"Yes. DVC 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/iterative/dvc","question":"Is DVC open source?","confidence":0.95}]` | `[{"answer":"Ray is an open-source unified framework for scaling Python and machine learning applications across any infrastructure. It provides distributed compute primitives, specialized AI libraries for data processing, model training, tuning, and serving, with seamless scaling from development environments to large clusters. It is indexed under MLOps & LLMOps Tools.","source":"https://www.ray.io","question":"What is Ray?","confidence":0.6},{"answer":"Ray offers a free tier, so you can start without paying. Pricing changes often, so verify at source before relying on it.","source":"https://www.ray.io","question":"Is Ray free?","confidence":0.6},{"answer":"Ray supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://www.ray.io","question":"What platforms does Ray support?","confidence":0.6},{"answer":"Yes. Ray can be deployed cloud / SaaS, hybrid, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://www.ray.io","question":"Can Ray be self-hosted?","confidence":0.6},{"answer":"We have confirmed 19 integrations for Ray, including PyTorch, TensorFlow, AIBrix, AReaL, Cosmos Curate, Daft, Data-Juicer and DeltaCAT, plus 11 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://www.ray.io","question":"What does Ray integrate with?","confidence":0.6},{"answer":"Yes. Ray 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/ray-project/ray","question":"Is Ray open source?","confidence":0.67}]` |
| deployment.options | `{"cloud":true,"on_prem":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | A command-line tool that applies Git-based version control and experiment management to data and ML models, enabling reproducible workflows within Git repositories with support for multiple cloud and on-premise storage backends. | Open-source framework for building and scaling distributed ML and Python applications, supporting the full pipeline from data processing and model training to inference and serving with simple APIs. |
| features.capabilities | `{"role":"framework","managed_cloud":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"framework_agnostic":true,"experiment_tracking":true}` | `{"role":"framework","managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 9 | 17 |
| integrations.list | `[{"name":"S3"},{"name":"Azure"},{"name":"Google Cloud Storage"},{"name":"Hydra"},{"name":"WebDAV"},{"name":"SSH"},{"name":"Amazon S3"},{"name":"Microsoft Azure"},{"name":"Google Drive"},{"name":"Alibaba OSS"},{"name":"GitHub"},{"name":"GitLab"},{"name":"VS Code","native":true},{"name":"AWS S3"},{"name":"Alibaba Cloud Object Storage Service"},{"name":"Amazon SageMaker"}]` | `[{"name":"PyTorch"},{"name":"TensorFlow"},{"name":"AIBrix"},{"name":"AReaL"},{"name":"Cosmos Curate"},{"name":"Daft"},{"name":"Data-Juicer"},{"name":"DeltaCAT"},{"name":"Modin"},{"name":"NeMo Curator"},{"name":"NeMo-RL"},{"name":"OpenRLHF"},{"name":"RayDP"},{"name":"ROLL"},{"name":"SkyRL"},{"name":"SLIME"},{"name":"Syftr"},{"name":"verl"},{"name":"vLLM"},{"name":"Kubernetes","native":true,"category":"infrastructure"},{"name":"AWS","native":true,"category":"cloud"},{"name":"GCP","native":true,"category":"cloud"},{"name":"Azure","native":true,"category":"cloud"},{"name":"Databricks","native":true,"category":"data_platform"},{"name":"DeltaLake","native":true,"category":"data_storage"},{"name":"Spark","native":true,"category":"data_processing","direction":"bidirectional"},{"name":"Pandas","native":true,"category":"data_processing","direction":"bidirectional"}]` |
| language.primary | Python | Python |
| license.spdx | Apache-2.0 | Apache-2.0 |
| market.availability | `{"primaryMarkets":[],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"mac":true,"linux":true,"windows":true}` | `{"cli":true}` |
| pricing | `{"type":"open_source","summary":"Free and open source","freeTier":true,"sourceUrl":"https://dvc.org","retrievedAt":"2026-08-14T11:05:19.812Z"}` | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | open_source | commercial |
| pricing.price_level | free | free |
| pricing.transparent | yes | - |
| release.cadence_days | 25 | 18 |
| release.history | `[{"url":"https://github.com/treeverse/dvc/releases/tag/3.67.1","date":"2026-03-31T05:06:44Z","type":"stable","version":"3.67.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.67.0","date":"2026-03-14T17:13:20Z","type":"stable","version":"3.67.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.66.1","date":"2026-01-08T15:28:51Z","type":"stable","version":"3.66.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.66.0","date":"2026-01-06T13:49:31Z","type":"stable","version":"3.66.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.65.0","date":"2025-12-22T07:49:36Z","type":"stable","version":"3.65.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.64.2","date":"2025-12-06T05:10:17Z","type":"stable","version":"3.64.2"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.64.1","date":"2025-12-02T10:49:50Z","type":"stable","version":"3.64.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.64.0","date":"2025-11-13T08:31:59Z","type":"stable","version":"3.64.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.63.0","date":"2025-09-02T13:34:43Z","type":"stable","version":"3.63.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.62.0","date":"2025-08-12T07:55:49Z","type":"stable","version":"3.62.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.61.0","date":"2025-07-07T11:23:15Z","type":"stable","version":"3.61.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.60.1","date":"2025-06-12T08:54:00Z","type":"stable","version":"3.60.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.60.0","date":"2025-06-06T06:54:35Z","type":"stable","version":"3.60.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.59.2","date":"2025-05-06T10:58:00Z","type":"stable","version":"3.59.2"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.59.1","date":"2025-02-15T11:14:00Z","type":"stable","version":"3.59.1"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.59.0","date":"2025-01-13T07:03:26Z","type":"stable","version":"3.59.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.58.0","date":"2024-12-01T16:53:05Z","type":"stable","version":"3.58.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.57.0","date":"2024-11-26T05:34:06Z","type":"stable","version":"3.57.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.56.0","date":"2024-10-23T02:15:21Z","type":"stable","version":"3.56.0"},{"url":"https://github.com/treeverse/dvc/releases/tag/3.55.2","date":"2024-09-02T15:01:06Z","type":"stable","version":"3.55.2"}]` | `[{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.59.0","date":"2026-10-02T07:04:37Z","type":"stable","version":"ray-2.59.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.58.0","date":"2026-08-23T05:42:08Z","type":"stable","version":"ray-2.58.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.57.0","date":"2026-08-11T01:15:44Z","type":"stable","version":"ray-2.57.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.1","date":"2026-07-17T23:19:47Z","type":"stable","version":"ray-2.56.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.56.0","date":"2026-06-29T20:32:55Z","type":"stable","version":"ray-2.56.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.1","date":"2026-04-22T20:24:41Z","type":"stable","version":"ray-2.55.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.55.0","date":"2026-04-15T20:34:27Z","type":"stable","version":"ray-2.55.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.1","date":"2026-03-25T23:37:39Z","type":"stable","version":"ray-2.54.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.54.0","date":"2026-02-18T23:44:44Z","type":"stable","version":"ray-2.54.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.53.0","date":"2025-12-20T15:16:24Z","type":"stable","version":"ray-2.53.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.2","date":"2025-11-29T00:40:40Z","type":"stable","version":"ray-2.51.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.1","date":"2025-11-28T02:23:22Z","type":"stable","version":"ray-2.52.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.52.0","date":"2025-11-21T19:10:39Z","type":"stable","version":"ray-2.52.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.1","date":"2025-11-01T03:27:11Z","type":"stable","version":"ray-2.51.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.51.0","date":"2025-10-29T05:33:49Z","type":"stable","version":"ray-2.51.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.1","date":"2025-10-18T19:21:43Z","type":"stable","version":"ray-2.50.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.50.0","date":"2025-10-10T23:06:29Z","type":"stable","version":"ray-2.50.0"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.2","date":"2025-09-19T18:10:36Z","type":"stable","version":"ray-2.49.2"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.1","date":"2025-09-03T00:44:11Z","type":"stable","version":"ray-2.49.1"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.49.0","date":"2025-08-26T19:52:24Z","type":"stable","version":"ray-2.49.0"}]` |
| reliability.status_page | - | yes |
| security.scorecard | 4.9 | 5.7 |
| security.trust_center | https://dvc.org/blog/tags/security/ | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=conda&package_name=dvc-s3&per_page=100","last_12m":0,"max_severity":null}` | `{"count":12,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ray&per_page=100","last_12m":6,"max_severity":"CRITICAL"}` |

## Capabilities (MLOps & LLMOps Tools)

| Capability | DVC | Ray |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | Agent / RAG framework | 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 | - | - |

*Source: vioscaleAI. Generated 2026-10-16T19:16:06.654Z. "-" = undocumented, not absent.*