# Metaflow vs Ray

**Leader by vioscaleAI score:** Ray

| Attribute | Metaflow | Ray |
|---|---|---|
| **vioscaleAI score** | 55.9 (63% (medium)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | 13 | 100 |
| adoption.dependent_repos | 106 | 3,641 |
| adoption.github_stars | 10,304 | 44,036 |
| adoption.package_downloads_weekly | 103,395 | 11,291,327 |
| content.faq | `[{"answer":"An open-source tool that enables data scientists and engineers to move from local experimentation to scalable production systems, with features for tracking experiments, versioning data and models, and orchestrating compute across multiple cloud platforms or self-hosted infrastructure. It is indexed under MLOps & LLMOps Tools.","source":"https://metaflow.org","question":"What is Metaflow?","confidence":0.6},{"answer":"Metaflow 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://metaflow.org","question":"Is Metaflow free to use?","confidence":0.6},{"answer":"Metaflow supports a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://metaflow.org","question":"What platforms does Metaflow support?","confidence":0.6},{"answer":"Yes. Metaflow can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://metaflow.org","question":"Can Metaflow be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for Metaflow, including AWS, Azure and Google Cloud. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://metaflow.org","question":"What does Metaflow integrate with?","confidence":0.6},{"answer":"Yes. Metaflow 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/Netflix/metaflow","question":"Is Metaflow open source?","confidence":0.95},{"answer":"Metaflow is available worldwide. Its primary market is the United States. The vendor is headquartered in the United States.","source":"https://metaflow.org","question":"Where is Metaflow available?","confidence":0.75}]` | `[{"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,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | An open-source tool that enables data scientists and engineers to move from local experimentation to scalable production systems, with features for tracking experiments, versioning data and models, and orchestrating compute across multiple cloud platforms or self-hosted infrastructure. | 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,"otel_compatible":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 | 3 | 17 |
| integrations.list | `[{"name":"AWS"},{"name":"Azure"},{"name":"Google Cloud"},{"name":"IPython","native":true}]` | `[{"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 | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true}` | `{"cli":true}` |
| pricing | `{"type":"open_source","freeTier":true,"sourceUrl":"https://metaflow.org","retrievedAt":"2026-08-14T09:21:30.422Z"}` | `{"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 |
| release.cadence_days | 5 | 18 |
| release.history | `[{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.39","date":"2026-09-02T21:17:39Z","type":"stable","version":"2.19.39"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.38","date":"2026-08-18T00:34:39Z","type":"stable","version":"2.19.38"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.37","date":"2026-08-11T17:15:05Z","type":"stable","version":"2.19.37"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.36","date":"2026-08-05T18:15:13Z","type":"stable","version":"2.19.36"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.35","date":"2026-06-24T22:08:22Z","type":"stable","version":"2.19.35"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.34","date":"2026-06-18T12:37:53Z","type":"stable","version":"2.19.34"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.33","date":"2026-06-09T19:37:12Z","type":"stable","version":"2.19.33"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.32","date":"2026-06-03T21:24:38Z","type":"stable","version":"2.19.32"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.31","date":"2026-06-01T01:48:44Z","type":"stable","version":"2.19.31"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.30","date":"2026-05-29T08:38:51Z","type":"stable","version":"2.19.30"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.29","date":"2026-05-11T23:37:35Z","type":"stable","version":"2.19.29"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.28","date":"2026-05-07T16:37:54Z","type":"stable","version":"2.19.28"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.27","date":"2026-05-06T15:44:03Z","type":"stable","version":"2.19.27"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.26","date":"2026-05-05T19:10:56Z","type":"stable","version":"2.19.26"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.25","date":"2026-05-05T17:20:26Z","type":"stable","version":"2.19.25"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.24","date":"2026-05-01T18:36:35Z","type":"stable","version":"2.19.24"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.23","date":"2026-04-28T04:04:38Z","type":"stable","version":"2.19.23"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.22","date":"2026-03-20T21:38:19Z","type":"stable","version":"2.19.22"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.21","date":"2026-03-11T23:56:51Z","type":"stable","version":"2.19.21"},{"url":"https://github.com/Netflix/metaflow/releases/tag/2.19.20","date":"2026-02-26T20:51:42Z","type":"stable","version":"2.19.20"}]` | `[{"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 | yes |
| security.scorecard | 6.9 | 5.7 |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=metaflow&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 | Metaflow | 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 2026-10-16T19:01:31.673Z. "-" = undocumented, not absent.*