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What is evalship?

Evalship provides engineering teams with a robust framework for evaluating LLM-driven software by performing thorough audits of evaluation suites and scrutinizing pull requests. It carefully investigates scorers and judges for possible inaccuracies, identifies gaps in coverage, and points out evaluations that could lead to erroneous results, all while delivering insights complete with code references and suggestions for enhancements. The initial setup streamlines a coding agent's task of configuring GitHub Actions and creating a setup pull request. For future pull requests, Evalship assesses the results against the default branch, detecting regressions, flaky evaluations, and any changes to prompts or model calls that lack sufficient evaluation, while also providing a status check for merge gating. It accommodates results from a variety of supported test runners and LLM evaluation tools. Evaluations occur within the customer's GitHub Actions framework using their designated model API keys, with Evalship concentrating on reviewing the results rather than executing the evaluations. Furthermore, teams have the ability to review their evaluation history and receive weekly performance reports to monitor advancements and enhancements over time. This thorough methodology guarantees that maintaining software quality is prioritized at every stage of the development process, ultimately fostering a culture of continuous improvement.

What is BenchLLM?

Leverage BenchLLM for real-time code evaluation, enabling the creation of extensive test suites for your models while producing in-depth quality assessments. You have the option to choose from automated, interactive, or tailored evaluation approaches. Our passionate engineering team is committed to crafting AI solutions that maintain a delicate balance between robust performance and dependable results. We've developed a flexible, open-source tool for LLM evaluation that we always envisioned would be available. Easily run and analyze models using user-friendly CLI commands, utilizing this interface as a testing resource for your CI/CD pipelines. Monitor model performance and spot potential regressions within a live production setting. With BenchLLM, you can promptly evaluate your code, as it seamlessly integrates with OpenAI, Langchain, and a multitude of other APIs straight out of the box. Delve into various evaluation techniques and deliver essential insights through visual reports, ensuring your AI models adhere to the highest quality standards. Our mission is to equip developers with the necessary tools for efficient integration and thorough evaluation, enhancing the overall development process. Furthermore, by continually refining our offerings, we aim to support the evolving needs of the AI community.

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Integrations Supported

Braintrust
GitHub Actions
Jest
LangSmith
Langfuse
Vitest
promptfoo
pytest

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

$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 Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Garm Tech B.V.

Date Founded

2026

Company Location

Netherlands

Company Website

evalship.com

Company Facts

Organization Name

BenchLLM

Company Website

benchllm.com

Categories and Features

LLM Evaluation

Not specified

Categories and Features

AI Development

Not specified

LLM Evaluation

Not specified

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