Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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