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What is GoCD?

Easily create and visualize complex workflows using GoCD, which features a detailed value stream map that encapsulates your entire production journey at a glance. You can effortlessly navigate through various jobs, pinpoint inefficiencies, and enhance your workflow without relying on extra plugins since GoCD delivers built-in continuous delivery (CD) solutions. It improves your CD practices across popular cloud environments such as Kubernetes, Docker, AWS, and others. With its sophisticated modeling constructs, capabilities for parallel execution, and robust dependency management, GoCD excels in managing challenging CD workflows while providing swift feedback. Moreover, GoCD empowers users to troubleshoot a failing pipeline by tracking every change from commit to deployment in real time. Users are also able to compare different types of content, including files and commit messages, across any two chosen builds. Its adaptable plugin architecture allows GoCD to effortlessly connect with various widely-used external tools and services. We have carefully crafted the upgrade path for GoCD to ensure it remains smooth and non-intrusive, even when plugins are in use, providing a seamless user experience. A wealth of high-quality, curated plugins is readily accessible, further enhancing the capabilities and flexibility of GoCD. This dedication to integration and user-friendliness positions GoCD as an exceptional choice for teams aiming to streamline their delivery processes. Additionally, the platform's ongoing updates and community support ensure that users have access to the latest features and improvements.

What is Giskard?

Giskard offers tools for AI and business teams to assess and test machine learning models through automated evaluations and collective feedback. By streamlining collaboration, Giskard enhances the process of validating ML models, ensuring that biases, drift, or regressions are addressed effectively prior to deploying these models into a production environment. This proactive approach not only boosts efficiency but also fosters confidence in the integrity of the models being utilized.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Kubernetes
AWS Marketplace
CybeDefend
Docker
LT Browser
Plandek
Qualiti.ai
SpecFlow
Zulip

Integrations Supported

Amazon Web Services (AWS)
Kubernetes
GitHub
Google Cloud Platform
Jupyter Notebook
Kaggle
Kubeflow
Microsoft Azure
PyTorch
pandas

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

$0
Free Version

Supported Platforms

Windows
Mac

Supported Platforms

SaaS
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

ThoughtWorks

Date Founded

1993

Company Location

United States

Company Website

www.gocd.org

Company Facts

Organization Name

Giskard

Date Founded

2021

Company Location

France

Company Website

www.giskard.ai

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control

Build Automation

Build Cache
Build Management Tools
Build Metrics
Change Only Compiling
Debugging Tools
Dependency Management
IDE Compatibility
Parallel Testing
Source Code Management
Version Conflict Resolution

Continuous Delivery

Not specified

Continuous Integration

Change Management
Continuous Deployment
Testing Management

Release Management

Not specified

Categories and Features

Continuous Delivery

Continuous Integration
Quality Management
Testing Management

Continuous Integration

Continuous Delivery
Debugging
Quality Assurance Management
Testing Management

LLM Evaluation

Not specified

Machine Learning

Deep Learning
Natural Language Processing (NLP)
Statistical / Mathematical Tools
Visualization

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