# Ray

> The AI Compute Engine

- **Canonical URI:** https://www.vioscale.ai/software/ray
- **Category:** MLOps & LLMOps Tools
- **Homepage:** https://www.ray.io
- **Also known as:** ray
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-01T21:25:49.674Z

## Vioscale score

**74 / 100**, confidence 32% (low).

Composite of weighted, independently-sourced signals (no user reviews, no vendor payment).

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 0 | 10 | 0 | - |
| reliability | 50 | 12 | 600 | ✓ |
| capabilities | 67.1 | 32 | 2147.8 | ✓ |
| github_stars | 87.5 | 5 | 437.4 | ✓ |
| integrations | 0 | 18 | 0 | - |
| github_activity | 63.1 | 18 | 1135.8 | ✓ |
| release_cadence | 88.3 | 10 | 883.3 | ✓ |
| security_posture | 0 | 12 | 0 | - |
| package_downloads | 93.1 | 26 | 2420.7 | ✓ |
| pricing_transparency | 0 | 16 | 0 | - |
| stackoverflow_activity | 0 | 12 | 0 | - |

## About

A Python-native platform for orchestrating distributed AI and ML workloads, supporting model training, serving, batch inference, and reinforcement learning across any accelerator and scale.

_Independently observed._

## Capabilities

_The capabilities that matter for MLOps & LLMOps Tools. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Core** | |
| Tool role | End-to-end ML platform |
| **Deployment** | |
| Self-hostable / OSS core | ✓ |
| Managed cloud available | ✓ |
| **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 | - |
| **Gateway** | |
| Multi-provider model support | - |
| **Interop** | |
| Framework-agnostic | ✓ |
| **Data** | |
| No-train-on-customer-data guarantee | - |
| **Deployment** | |
| On-prem / VPC deployment | - |

## Facts

Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule.

### activity

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| activity.commits_last_30d | 100 | [link](https://github.com/ray-project/ray/pulse) | 2026-08-01 | 65% (medium) |

### adoption

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| adoption.github_stars | 43,405 | [link](https://github.com/ray-project/ray) | 2026-08-01 | 90% (high) |
| adoption.package_downloads_weekly | 14,725,624 | [link](https://pypistats.org/packages/ray) | 2026-08-01 | 85% (high) |

### language

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| language.primary | Python | [link](https://github.com/ray-project/ray) | 2026-08-01 | 98% (high) |

### license

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| license.spdx | Apache-2.0 | [link](https://github.com/ray-project/ray) | 2026-08-01 | 67% (medium) |

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.model | commercial | [link](https://www.ray.io) | 2026-08-01 | 40% (low) |

### release

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| release.cadence_days | 21 | [link](https://github.com/ray-project/ray/releases) | 2026-08-01 | 70% (medium) |

### reliability

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| reliability.status_page | yes | [link](https://www.ray.io/status) | 2026-08-01 | 60% (medium) |

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*Source: Vioscale (https://www.vioscale.ai/software/ray). Independent, evidence-based software intelligence. Cite the canonical URI.*