# Ollama vs Ray

| Attribute | Ollama | Ray |
|---|---|---|
| **vioscaleAI score** | 73.3 (56% (medium)) | 70.8 (65% (medium)) |
| activity.commits_last_30d | 100 | 100 |
| adoption.dependent_repos | 0 | 3,641 |
| adoption.github_stars | 183,171 | 44,036 |
| adoption.package_downloads_weekly | 2,940,647 | 11,291,327 |
| content.faq | `[{"answer":"A platform for running open-source language models through CLI, API, or desktop interfaces, with broad integration support for development tools. Provides both private local execution and cloud-hosted inference while maintaining strict data privacy and refusing to train on user inputs. It is indexed under MLOps & LLMOps Tools.","source":"https://ollama.com/pricing","question":"What is Ollama?","confidence":0.6},{"answer":"Ollama is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. A commercial or hosted edition starts at $20 per month. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.","source":"https://ollama.com/pricing","question":"Is Ollama free to use?","confidence":0.6},{"answer":"Ollama supports the web, Windows, Linux and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.","source":"https://ollama.com/pricing","question":"What platforms does Ollama support?","confidence":0.6},{"answer":"Yes. Ollama can be deployed cloud / SaaS, on-premise and self-hosted, so it does not have to run on the vendor's infrastructure.","source":"https://ollama.com/pricing","question":"Can Ollama be self-hosted?","confidence":0.6},{"answer":"We have confirmed 63 integrations for Ollama, including Claude Code, OpenClaw, OpenCode, Codex, Copilot, Droid, Open WebUI and Onyx, plus 55 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.","source":"https://ollama.com/pricing","question":"What does Ollama integrate with?","confidence":0.6},{"answer":"We have independently confirmed GDPR for Ollama. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Ollama not holding them. Always confirm compliance directly before you rely on it.","source":"https://ollama.com/privacy","question":"What security certifications does Ollama have?","confidence":0.7},{"answer":"Yes. Ollama 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/ollama/ollama","question":"Is Ollama open source?","confidence":0.95},{"answer":"Ollama is available worldwide. Its primary markets are the United States and the EU.","source":"https://ollama.com/pricing","question":"Where is Ollama 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,"hybrid":true,"self_hosted":true}` | `{"cloud":true,"self_hosted":true}` |
| description.long | Ollama enables developers to run open-source language models either on their own computers or through Ollama's cloud infrastructure, with a guarantee that user prompts and responses are never logged, stored, or used for training. Models can run locally without internet (limited by hardware) or in the cloud with no performance constraints. | 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":"platform","evaluation":true,"open_source":true,"managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"gpu_acceleration":true,"no_train_on_data":"yes","llm_observability":true,"prompt_management":true,"framework_agnostic":true,"multi_model_serving":true,"multi_gpu_multi_node":true,"quantization_support":true,"openai_compatible_api":true,"multi_framework_support":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 | 40,000 | 17 |
| integrations.list | `[{"name":"Claude Code"},{"name":"OpenClaw"},{"name":"OpenCode"},{"name":"Codex"},{"name":"Copilot"},{"name":"Droid"},{"name":"Open WebUI"},{"name":"Onyx"},{"name":"LibreChat"},{"name":"Lobe Chat"},{"name":"NextChat"},{"name":"Perplexica"},{"name":"big-AGI"},{"name":"Lollms WebUI"},{"name":"ChatOllama"},{"name":"Bionic GPT"},{"name":"Chatbot UI"},{"name":"Hollama"},{"name":"Chatbox"},{"name":"Ollama RAG Chatbot"},{"name":"Dify.AI"},{"name":"AnythingLLM"},{"name":"Maid"},{"name":"Witsy"},{"name":"Cherry Studio"},{"name":"Ollama App"},{"name":"PyGPT"},{"name":"Alpaca"},{"name":"SwiftChat"},{"name":"Enchanted"},{"name":"RWKV-Runner"},{"name":"Ollama Grid Search"},{"name":"macai"},{"name":"AI Studio"},{"name":"Reins"},{"name":"ConfiChat"},{"name":"LLocal.in"},{"name":"MindMac"},{"name":"Msty"},{"name":"BoltAI for Mac"},{"name":"IntelliBar"},{"name":"Kerlig AI"},{"name":"Hermes Agent"},{"name":"Slack"},{"name":"Discord"},{"name":"Telegram"},{"name":"WhatsApp"},{"name":"Docker"},{"name":"Python"},{"name":"Spring Framework"},{"name":"LangChain"},{"name":"Vercel"},{"name":"Cursor"},{"name":"VS Code"},{"name":"C# / .NET"},{"name":"Julia"},{"name":"Go"},{"name":"Emacs"},{"name":"Anthropic"},{"name":"Datasette"},{"name":"Stripe"},{"name":"NVIDIA"},{"name":"Google Gemma"},{"name":"Meta Llama"},{"name":"Claude Desktop","native":true},{"name":"ChatGPT Desktop","native":true},{"name":"n8n","native":false,"category":"automation"},{"name":"Spring AI","native":false,"category":"framework"},{"name":"Muse Code","native":false},{"name":"DeepSeek Harness","native":false},{"name":"Claude","native":true,"category":"chat","direction":"bidirectional"},{"name":"ChatGPT","native":true,"category":"chat","direction":"bidirectional"}]` | `[{"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 | Go | Python |
| license.spdx | MIT | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"cli":true,"mac":true,"linux":true,"windows":true}` | `{"cli":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","summary":"Free","features":["Run models locally","Starter usage credits included","Access to starter models","Add credits to unlock all models","No service fees"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"description":"For getting started with open models","contactSales":false},{"free":false,"name":"Pro","summary":"$20/mo or $200/yr billed annually","features":["Everything in Free, plus","$60 of usage credits per month","Access to larger pro models","Run multiple models concurrently","Fast mode (coming soon)"],"components":[{"kind":"fixed","amount":20,"period":"month","currency":"USD"},{"kind":"fixed","amount":200,"period":"year","currency":"USD"}],"description":"For shorter, well-defined day-to-day tasks","contactSales":false,"includedLimits":{"usage_credits":"$60/month"}},{"free":false,"name":"Max","summary":"$100/mo","features":["Everything in Pro, plus","$300 of usage credits per month","Early access to the newest models","10 concurrent requests"],"components":[{"kind":"fixed","amount":100,"period":"month","currency":"USD"}],"description":"For power users who run multiple agents simultaneously","contactSales":false,"includedLimits":{"usage_credits":"$300/month"}},{"free":false,"name":"Team","summary":"$500/mo","features":["Unlimited users","$1,000 of usage credits per month, shared across the team","Centralized billing and administration","Priority support","Shared projects, skills, and instructions"],"components":[{"kind":"fixed","amount":500,"period":"month","currency":"USD"}],"description":"For teams scaling with open models","contactSales":false,"includedLimits":{"usage_credits":"$1,000/month shared"}},{"free":false,"name":"Enterprise","summary":"Custom pricing","features":["Everything in Team, plus","Model access controls","Limit team access to specific models","Set cost budgets for users and API keys","Private Slack channel with dedicated support","Custom security questionnaires"],"description":"For larger teams with volume usage pricing","contactSales":true}],"summary":"Free to start; Pro from $20/mo with $60 usage credits; Max at $100/mo with $300 usage credits; Team at $500/mo with shared $1,000 usage credits; Enterprise with custom pricing","currency":"USD","freeTier":true,"sourceUrl":"https://ollama.com/pricing","retrievedAt":"2026-09-13T19:31:11.705Z","startingPrice":{"amount":20,"period":"month","currency":"USD"},"billingPeriods":["month","year"]}` | `{"type":"open_source","sourceUrl":"https://www.ray.io","retrievedAt":"2026-09-14T15:30:52.746Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | mid | free |
| pricing.starting_price | `{"amount":20,"currency":"USD"}` | - |
| pricing.transparent | yes | - |
| release.cadence_days | 2 | 18 |
| release.history | `[{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.5-rc0","date":"2026-10-14T19:45:22Z","type":"prerelease","version":"v0.40.5-rc0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.4","date":"2026-10-12T19:00:12Z","type":"stable","version":"v0.40.4"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.3","date":"2026-10-11T01:39:04Z","type":"stable","version":"v0.40.3"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.2","date":"2026-10-08T16:53:47Z","type":"stable","version":"v0.40.2"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.1","date":"2026-10-07T23:22:59Z","type":"stable","version":"v0.40.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.40.0","date":"2026-09-25T03:31:52Z","type":"stable","version":"v0.40.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.35.1","date":"2026-09-29T20:14:22Z","type":"stable","version":"v0.35.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.35.0","date":"2026-09-28T21:23:22Z","type":"stable","version":"v0.35.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.4","date":"2026-09-23T02:24:43Z","type":"stable","version":"v0.34.4"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.3","date":"2026-09-19T00:02:57Z","type":"stable","version":"v0.34.3"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.2","date":"2026-09-15T21:21:07Z","type":"stable","version":"v0.34.2"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.1","date":"2026-09-14T22:14:03Z","type":"stable","version":"v0.34.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.34.0","date":"2026-09-05T23:49:00Z","type":"stable","version":"v0.34.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.3","date":"2026-09-02T00:11:33Z","type":"stable","version":"v0.33.3"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.2","date":"2026-08-27T20:31:47Z","type":"stable","version":"v0.33.2"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.1","date":"2026-08-26T18:09:57Z","type":"stable","version":"v0.33.1"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.33.0","date":"2026-08-21T22:52:46Z","type":"stable","version":"v0.33.0"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.32.15","date":"2026-08-19T17:25:16Z","type":"stable","version":"v0.32.15"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.32.14","date":"2026-08-15T19:41:23Z","type":"stable","version":"v0.32.14"},{"url":"https://github.com/ollama/ollama/releases/tag/v0.32.13","date":"2026-08-14T19:16:07Z","type":"stable","version":"v0.32.13"}]` | `[{"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.gdpr | yes | - |
| security.scorecard | - | 5.7 |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nixpkgs&package_name=ollama&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 | Ollama | Ray |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | End-to-end ML platform | 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 | Yes | - |

*Source: vioscaleAI. Generated 2026-10-16T04:30:10.665Z. "-" = undocumented, not absent.*