Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Concourse serves as an open-source tool designed for continuous automation, effectively streamlining processes through its foundational elements of resources, tasks, and jobs, making it particularly suitable for CI/CD applications. Its pipeline functions similarly to a distributed, ongoing Makefile, where each job outlines a build plan that specifies input resources and the actions to take upon their changes. The web UI visually represents your pipeline, allowing users to seamlessly navigate from a job failure to understanding the underlying issues with just a single click. This visualization acts as a "gut check" feedback mechanism: if something appears off, it likely warrants attention. Additionally, jobs can be linked through dependency configurations, creating an interconnected graph of jobs and resources that perpetually advances your project from the initial codebase to deployment. All aspects of configuration and management are handled via the fly CLI, with the fly set-pipeline command being used to upload the configuration to Concourse. Once you confirm that everything is set up correctly, you can then commit the configuration to your source control repository, ensuring that your automation remains aligned with your project's evolving needs. This flexibility and clarity make Concourse an invaluable asset for developers looking to enhance their continuous integration and delivery workflows.
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.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Web Services (AWS)
No
Cycloid
Yes
GitHub
No
Google Cloud Platform
No
Jupyter Notebook
No
Kaggle
No
Kubeflow
No
Kubernetes
No
LT Browser
Yes
Microsoft Azure
No
Integrations
Amazon Web Services (AWS)
Yes
Cycloid
No
GitHub
Yes
Google Cloud Platform
Yes
Jupyter Notebook
Yes
Kaggle
Yes
Kubeflow
Yes
Kubernetes
Yes
LT Browser
No
Microsoft Azure
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
$0
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
Yes
Linux
Yes
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
Concourse CI
Website
concourse-ci.org
Vendor Details
Company Name
Giskard
Founded
2021
Country
France
Website
www.giskard.ai
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
No
Feature Toggles / Feature Flags
No
Quality Management
No
Testing Management
No
Continuous Integration
Build Log
No
Change Management
No
Configuration Management
No
Continuous Delivery
No
Continuous Deployment
No
Debugging
No
Permission Management
No
Quality Assurance Management
No
Testing Management
No
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