# Braintrust vs Ray

**Leader by vioscaleAI score:** Ray

| Attribute | Braintrust | Ray |
|---|---|---|
| **vioscaleAI score** | 54.8 (31% (low)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | - | 100 |
| adoption.dependent_repos | - | 3,641 |
| adoption.github_stars | - | 44,036 |
| adoption.package_downloads_weekly | - | 11,291,327 |
| content.faq | `[{"answer":"Enables teams to observe AI agent behavior in production, automatically identify improvement opportunities, and iteratively enhance agent quality through experimentation and LLM-based evaluation. It is indexed under MLOps & LLMOps Tools.","source":"https://braintrust.dev","question":"What is Braintrust?","confidence":0.6},{"answer":"We have confirmed browser-based access to Braintrust. 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://braintrust.dev","question":"What platforms does Braintrust support?","confidence":0.6},{"answer":"Yes. Braintrust can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://braintrust.dev","question":"Can Braintrust be self-hosted?","confidence":0.6},{"answer":"We have confirmed 3 integrations for Braintrust, including OpenAI, Anthropic and Google. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://braintrust.dev","question":"What does Braintrust integrate with?","confidence":0.6},{"answer":"We have independently confirmed SOC 2, HIPAA and GDPR for Braintrust. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Braintrust not holding them. Always confirm compliance directly before you rely on it.","source":"https://braintrust.dev","question":"What security certifications does Braintrust have?","confidence":0.6}]` | `[{"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,"hybrid":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | Braintrust provides real-time observability for AI agents in production. It enables teams to inspect traces and tool calls, automatically discover patterns and issues, run experiments to evaluate quality, and continuously iterate on agent performance. | 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":"observability","evaluation":true,"soc2_type_ii":true,"managed_cloud":true,"model_serving":false,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"no_train_on_data":"unknown","llm_observability":true,"prompt_management":true,"architecture_model":"managed_cloud_saas","framework_agnostic":true,"experiment_tracking":true,"production_ab_testing_of_system_prompts":true,"token_cost_and_latency_waterfall_charts":true,"prompt_playground_and_in_dashboard_replay":true,"multi_step_agentic_workflow_distributed_tracing":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":"OpenAI"},{"name":"Anthropic"},{"name":"Google"}]` | `[{"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 |
| license.spdx | - | Apache-2.0 |
| platform.support | `{"web":true}` | `{"cli":true}` |
| pricing | - | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` |
| pricing.free_tier | - | yes |
| pricing.model | - | commercial |
| pricing.price_level | - | free |
| release.cadence_days | - | 18 |
| release.history | - | `[{"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.certifications | `[{"name":"SOC 2 Type II","level":"Type II","status":"active"}]` | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.pci | yes | - |
| security.scorecard | - | 5.7 |
| security.soc2 | yes | - |
| security.vulnerabilities | - | `{"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 | Braintrust | Ray |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | LLM observability / eval | 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: vioscaleAI. Generated 2026-10-16T20:07:55.651Z. "-" = undocumented, not absent.*