# LlamaIndex vs Ray

| Attribute | LlamaIndex | Ray |
|---|---|---|
| **Vioscale score** | 66.3 (75% (high)) | 66.8 (68% (medium)) |
| activity.commits_last_30d | 32 | 100 |
| adoption.dependent_repos | 0 | 3,641 |
| adoption.github_stars | 51,883 | 43,612 |
| adoption.package_downloads_weekly | 1,685,400 | 11,291,327 |
| deployment.options | `{"cloud":true,"hybrid":true}` | `{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}` |
| description.long | LlamaParse is a cloud-based document parsing platform that uses vision language models and intelligent agents to automatically process complex documents—including PDFs, images, and office files—with support for layout detection, multi-modal content, and 80+ languages. It transforms document ingestion workflows with agentic extraction and indexing capabilities. | 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. |
| features.capabilities | `{"role":"framework","evaluation":false,"soc2_type_ii":true,"managed_cloud":true,"model_serving":true,"pricing_model":"commercial_enterprise_platform","self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"no_train_on_data":"unknown","llm_observability":false,"prompt_management":false,"framework_agnostic":true,"experiment_tracking":false,"mit_or_apache_permissive_oss_license":false,"native_observability_and_trace_logging":true,"fault_tolerance_and_llm_retry_mechanisms":true,"native_memory_and_state_persistence_layer":false,"tool_calling_and_function_schema_validation":true,"managed_cloud_runtime_infrastructure_offered":true,"synchronous_and_asynchronous_execution_modes":true,"streaming_output_and_intermediate_step_yielding":true,"dynamic_agent_generation_and_spawning_at_runtime":true}` | `{"managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"framework_agnostic":true,"experiment_tracking":true}` |
| integrations.count | 3 | 17 |
| integrations.list | `[{"name":"AWS"},{"name":"Microsoft Azure"},{"name":"GitHub"}]` | `[{"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"}]` |
| language.primary | Python | Python |
| license.spdx | MIT | Apache-2.0 |
| market.availability | `{"hqCountry":"US","primaryMarkets":["US","EU"],"availabilityScope":"global","availableCountries":[],"notAvailableCountries":[]}` | - |
| platform.support | `{"web":true}` | `{"cli":true}` |
| pricing | `{"type":"hybrid","plans":[{"free":true,"name":"Free","summary":"$0/month, 10K credits included","features":["Basic parsing","Up to 130+ file formats","File upload only","Community support"],"components":[{"kind":"fixed","amount":0,"period":"month","currency":"USD"}],"contactSales":false,"includedLimits":{"credits":"10,000/month","concurrent_parse_jobs":"20","concurrent_sheets_jobs":"1","concurrent_extract_jobs":"5"}},{"free":false,"name":"Starter","summary":"$50/month up to 400K credits","features":["Multiple parse tiers (Cost Effective, Agentic, Agentic Plus)","Auto Mode smart tier routing","Advanced table and chart extraction","Structured JSON output","Extraction agents","Saved parse configs & model versioning","99.9% uptime","Basic email support"],"components":[{"kind":"fixed","amount":50,"period":"month","currency":"USD"}],"contactSales":false,"includedLimits":{"credits":"400,000/month","concurrent_parse_jobs":"100"}},{"free":false,"name":"Pro","summary":"$500/month up to 4M credits","features":["All Starter features","Classification & splitting","Sheets (spreadsheet data extraction)","Agents Builder","External data sources","Webhooks & API callbacks","Smart result caching","Slack support"],"components":[{"kind":"fixed","amount":500,"period":"month","currency":"USD"}],"contactSales":false,"includedLimits":{"credits":"4,000,000/month"}},{"free":false,"name":"Enterprise","summary":"Custom pricing with volume discounts","features":["Volume discount on credits","5x higher rate limits","Enterprise SSO","SaaS or Hybrid cloud deployment","Dedicated account manager","Priority Slack support with SLAs"],"contactSales":true}],"summary":"Free tier with 10K monthly credits; pay-as-you-go starting at $50/month. Credit pricing: 1,000 credits = $1.25.","currency":"USD","freeTier":true,"sourceUrl":"https://www.llamaindex.ai/pricing","retrievedAt":"2026-08-21T12:45:05.106Z","startingPrice":{"amount":50,"period":"month","currency":"USD"},"billingPeriods":["month"]}` | `{"type":"free","freeTier":true,"sourceUrl":"https://www.ray.io","retrievedAt":"2026-08-14T16:39:27.110Z"}` |
| pricing.free_tier | yes | yes |
| pricing.model | freemium | commercial |
| pricing.price_level | mid | free |
| pricing.starting_price | `{"amount":50,"currency":"USD"}` | - |
| pricing.transparent | yes | - |
| release.cadence_days | 12 | 18 |
| release.history | `[{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.24","date":"2026-08-19T18:48:01Z","type":"stable","version":"v0.14.24"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.23","date":"2026-06-24T19:36:43Z","type":"stable","version":"v0.14.23"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.22","date":"2026-05-14T20:22:24Z","type":"stable","version":"v0.14.22"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.21","date":"2026-04-21T00:18:51Z","type":"stable","version":"v0.14.21"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.20","date":"2026-04-03T19:55:51Z","type":"stable","version":"v0.14.20"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.19","date":"2026-03-25T20:59:15Z","type":"stable","version":"v0.14.19"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.18","date":"2026-03-16T19:42:07Z","type":"stable","version":"v0.14.18"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.16","date":"2026-03-10T19:20:35Z","type":"stable","version":"v0.14.16"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.15","date":"2026-02-18T19:06:42Z","type":"stable","version":"v0.14.15"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.14","date":"2026-02-10T23:08:46Z","type":"stable","version":"v0.14.14"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.13","date":"2026-01-21T20:44:52Z","type":"stable","version":"v0.14.13"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.12","date":"2025-12-30T01:07:03Z","type":"stable","version":"v0.14.12"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.10","date":"2025-12-04T19:46:03Z","type":"stable","version":"v0.14.10"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.9","date":"2025-12-02T21:31:18Z","type":"stable","version":"v0.14.9"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.8","date":"2025-11-10T22:18:42Z","type":"stable","version":"v0.14.8"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.7","date":"2025-10-30T23:58:43Z","type":"stable","version":"v0.14.7"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.6","date":"2025-10-26T03:01:31Z","type":"stable","version":"v0.14.6"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.5","date":"2025-10-15T19:10:56Z","type":"stable","version":"v0.14.5"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.4","date":"2025-10-03T17:52:07Z","type":"stable","version":"v0.14.4"},{"url":"https://github.com/run-llama/llama_index/releases/tag/v0.14.3","date":"2025-09-24T21:02:46Z","type":"stable","version":"v0.14.3"}]` | `[{"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"},{"url":"https://github.com/ray-project/ray/releases/tag/ray-2.48.0","date":"2025-07-18T22:27:25Z","type":"stable","version":"ray-2.48.0"}]` |
| reliability.sla_pct | 99.9 | - |
| reliability.status_page | yes | yes |
| security.disclosure_policy | yes | - |
| security.gdpr | yes | - |
| security.hipaa | yes | - |
| security.scorecard | - | 5.7 |
| security.soc2 | yes | - |
| security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=nixpkgs&package_name=python312Packages.llama-index-llms-openai&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 | LlamaIndex | Ray |
|---|:--:|:--:|
| **Core** |  |  |
| Tool role | 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: Vioscale. Generated 2026-09-01T15:23:09.159Z. "-" = undocumented, not absent.*