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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Ragas is a comprehensive open-source framework aimed at testing and evaluating applications that utilize Large Language Models (LLMs). It provides automated metrics to gauge performance and resilience, along with the capability to generate synthetic test data that meets specific needs, ensuring quality during both development and production phases. Furthermore, Ragas is designed to integrate smoothly with existing technology stacks, offering valuable insights to enhance the effectiveness of LLM applications. The project is driven by a dedicated team that combines advanced research with practical engineering strategies to support innovators in transforming the landscape of LLM applications. Users can create high-quality, diverse evaluation datasets that are tailored to their specific requirements, allowing for an effective assessment of their LLM applications in real-world scenarios. This approach not only fosters quality assurance but also enables the continuous improvement of applications through insightful feedback and automatic performance metrics that clarify the robustness and efficiency of the models. Additionally, Ragas stands as a vital resource for developers seeking to elevate their LLM projects to new heights.

Description

Evalship assists engineering teams in assessing LLM-driven software by conducting evaluation-suite audits and reviewing pull requests. It meticulously examines scorers and judges for potential errors, spots areas lacking coverage, and highlights evaluations that might yield incorrect outcomes, all while presenting findings complete with code references and recommendations for improvements. The setup process aids a coding agent in configuring GitHub Actions and initiating a setup pull request. For subsequent pull requests, evalship analyzes the outcomes in relation to the default branch, identifying regressions, flaky evaluations, and any modifications to prompts or model calls that lack evaluation coverage, alongside offering a merge-gating status check. It processes results from various supported test runners and LLM evaluation platforms. Evaluations are executed within the customer’s GitHub Actions environment using their specific model API keys, while evalship focuses on reviewing these results rather than carrying out the evaluations itself. In addition to these features, teams can access their evaluation history and obtain weekly performance reports to track progress and improvements over time. This comprehensive approach ensures that software quality remains a top priority throughout the development lifecycle.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Braintrust No 
ChatGPT Yes 
Claude Yes 
Codestral Yes 
DeepEval Yes 
Gemini Yes 
Gemini 1.5 Flash Yes 
Gemini 2.0 Flash Yes 
Gemini Enterprise Yes 
Gemini Pro Yes 
LangChain Yes 
LangSmith No 
Langfuse No 
Llama 2 Yes 
Llama 3.1 Yes 
Llama 3.3 Yes 
Mathstral Yes 
OpenAI Yes 
pytest No 

Integrations

Braintrust Yes 
ChatGPT No 
Claude No 
Codestral No 
DeepEval No 
Gemini No 
Gemini 1.5 Flash No 
Gemini 2.0 Flash No 
Gemini Enterprise No 
Gemini Pro No 
LangChain No 
LangSmith Yes 
Langfuse Yes 
Llama 2 No 
Llama 3.1 No 
Llama 3.3 No 
Mathstral No 
OpenAI No 
pytest Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$7.60/month
The Team plan is $7.60 per month during the launch offer, 60% off its $19 monthly price for the next 9 accounts. It includes 3 users and 2 private repositories. Additional users cost $2 per month each, and additional repositories cost $10 per month each. A 7-day free trial is offered. Public repositories are free.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Ragas

Country

United States

Website

www.ragas.io

Vendor Details

Company Name

Garm Tech B.V.

Founded

2026

Country

Netherlands

Website

evalship.com

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Product Features

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