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Description

Giskard provides interfaces to AI & Business teams for evaluating and testing ML models using automated tests and collaborative feedback. Giskard accelerates teamwork to validate ML model validation and gives you peace-of-mind to eliminate biases, drift, or regression before deploying ML models into production.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) Yes 
Braintrust No 
GitHub Yes 
GitHub Actions No 
Google Cloud Platform Yes 
Jest No 
Jupyter Notebook Yes 
Kaggle Yes 
Kubeflow Yes 
Kubernetes Yes 
LangSmith No 
Langfuse No 
Microsoft Azure Yes 
PyTorch Yes 
Vitest No 
pandas Yes 
promptfoo No 
pytest No 

Integrations

Amazon Web Services (AWS) No 
Braintrust Yes 
GitHub No 
GitHub Actions Yes 
Google Cloud Platform No 
Jest Yes 
Jupyter Notebook No 
Kaggle No 
Kubeflow No 
Kubernetes No 
LangSmith Yes 
Langfuse Yes 
Microsoft Azure No 
PyTorch No 
Vitest Yes 
pandas No 
promptfoo Yes 
pytest Yes 

Pricing Details

$0
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 Yes 
Linux Yes 
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

Giskard

Founded

2021

Country

France

Website

www.giskard.ai

Vendor Details

Company Name

Garm Tech B.V.

Founded

2026

Country

Netherlands

Website

evalship.com

Product Features

Continuous Delivery

Application Lifecycle Management No 
Application Release Automation No 
Build Automation No 
Build Log No 
Change Management No 
Configuration Management No 
Continuous Deployment No 
Continuous Integration Yes 
Feature Toggles / Feature Flags No 
Quality Management Yes 
Testing Management Yes 

Continuous Integration

Build Log No 
Change Management No 
Configuration Management No 
Continuous Delivery Yes 
Continuous Deployment No 
Debugging Yes 
Permission Management No 
Quality Assurance Management Yes 
Testing Management Yes 

Machine Learning

Deep Learning Yes 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) Yes 
Predictive Modeling No 
Statistical / Mathematical Tools Yes 
Templates No 
Visualization Yes 

Product Features

Alternatives

Alternatives

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