# Ragas

- **Canonical URI:** https://www.vioscale.ai/software/ragas
- **Category:** RAG Tools
- **Homepage:** https://ragas.io
- **Also known as:** ragas
- **Profile claimed by vendor:** no
- **Last updated:** 2026-08-26T19:31:43.976Z

## Vioscale score

**58.4 / 100**, confidence 27% (low). Computed 2026-09-01.

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

| Signal | Score | Weight | Contribution | Evidence present |
|---|--:|--:|--:|:--:|
| price_level | 100 | 0.052 | 5.2 | ✓ |
| reliability | 0 | 0.073 | 0 | - |
| capabilities | 67.1 | 0.084 | 5.6 | ✓ |
| repo_stars | 79 | 0.026 | 2.1 | ✓ |
| integrations | 17.3 | 0.09355555555555557 | 1.6 | ✓ |
| dependent_projects | 5 | 0.063 | 0.3 | ✓ |
| dev_activity | 0 | 0.094 | 0 | - |
| release_cadence | 96.1 | 0.052 | 5 | ✓ |
| security_posture | 0 | 0.073 | 0 | - |
| package_downloads | 0 | 0.136 | 0 | - |
| security_score | 0 | 0.042 | 0 | - |
| pricing_transparency | 80 | 0.084 | 6.7 | ✓ |
| community_qa_activity | 0 | 0.063 | 0 | - |

## Pricing

_As of 2026-08-21, [verify at source](https://ragas.io). Independently observed._

Open source · Free tier

## About

A Python-based framework that evaluates RAG applications through automatic metrics covering faithfulness, relevance, and recall. Includes tools to synthetically generate test datasets customized for specific use cases, enabling developers to assess LLM application performance at both component and end-to-end levels.

_Independently observed._

## Platform & deployment

- **Platforms:** CLI
- **Deployment:** Self-hosted

## Integrations (3)

_Independently observed._

- LlamaIndex
- LangSmith
- OpenAI

## Capabilities

_The capabilities that matter for RAG Tools. "-" = undocumented, not absent._

| Capability | Supported |
|---|:--:|
| **Capabilities** | |
| Hybrid retrieval | - |
| Reranking integration | - |
| Multi hop agentic retrieval | - |
| Embedding provider agnostic | - |
| LLM provider agnostic | - |
| Built in rag eval metrics | ✓ |
| Citation attribution | - |
| Multimodal rag | - |
| Managed ingestion pipeline | - |
| Open source | ✓ |

## Release history

| Version | Date | Type |
|---|---|---|
| [v0.4.3](https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.3) | 2026-01-13 | stable |
| [v0.4.2](https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.2) | 2025-12-23 | stable |
| [v0.4.1](https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.1) | 2025-12-10 | stable |
| [v0.4.0](https://github.com/vibrantlabsai/ragas/releases/tag/v0.4.0) | 2025-12-03 | stable |
| [v0.3.9](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.9) | 2025-11-11 | stable |
| [v0.3.8](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.8) | 2025-10-28 | stable |
| [v0.3.7](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.7) | 2025-10-14 | stable |
| [v0.3.6](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.6) | 2025-10-03 | stable |
| [v0.3.5](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5) | 2025-09-17 | stable |
| [v0.3.5rc2](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc2) | 2025-09-17 | prerelease |
| [v0.3.5rc1](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.5rc1) | 2025-09-17 | prerelease |
| [v0.3.4](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.4) | 2025-09-10 | stable |
| [v0.3.3](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3) | 2025-09-04 | stable |
| [v0.3.3rc1](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.3rc1) | 2025-09-04 | prerelease |
| [v0.3.2](https://github.com/vibrantlabsai/ragas/releases/tag/v0.3.2) | 2025-08-19 | stable |

_… and 5 earlier release(s)._

## Security & compliance


Known vulnerabilities: 2 (2 in the last 12 months), max severity HIGH ([source](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ragas&per_page=100)). A count reflects scale and disclosure, not quality.

## Facts

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

### integrations

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| integrations.count | 3 | [link](https://ragas.io) | 2026-08-21 | 60% (medium) |

### pricing

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| pricing.free_tier | yes | [link](https://ragas.io) | 2026-08-21 | 60% (medium) |
| pricing.price_level | free | [link](https://ragas.io) | 2026-08-21 | 60% (medium) |
| pricing.transparent | yes | [link](https://ragas.io) | 2026-08-21 | 60% (medium) |
| pricing.model | commercial | [link](https://ragas.io) | 2026-08-26 | 40% (low) |

### adoption

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| adoption.github_stars | 15,484 | [link](https://github.com/vibrantlabsai/ragas) | 2026-08-26 | 90% (high) |
| adoption.dependent_repos | 1 | [link](https://packages.ecosyste.ms/api/v1/packages/lookup?repository_url=https%3A%2F%2Fgithub.com%2Fvibrantlabsai%2Fragas) | 2026-08-26 | 85% (high) |

### language

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| language.primary | Python | [link](https://github.com/vibrantlabsai/ragas) | 2026-08-26 | 90% (high) |

### license

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| license.spdx | Apache-2.0 | [link](https://github.com/vibrantlabsai/ragas) | 2026-08-26 | 95% (high) |

### release

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| release.cadence_days | 7 | [link](https://github.com/vibrantlabsai/ragas/releases) | 2026-08-26 | 70% (medium) |

### security

| Attribute | Value | Source | Retrieved | Confidence |
|---|---|---|---|---|
| security.vulnerabilities | `{"count":2,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ragas&per_page=100","last_12m":2,"max_severity":"HIGH"}` | [link](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=ragas&per_page=100) | 2026-08-26 | 90% (high) |

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