Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
With Amazon SageMaker Pipelines, you can effortlessly develop machine learning workflows using a user-friendly Python SDK, while also managing and visualizing your workflows in Amazon SageMaker Studio. By reusing and storing the steps you create within SageMaker Pipelines, you can enhance efficiency and accelerate scaling. Furthermore, built-in templates allow for rapid initiation, enabling you to build, test, register, and deploy models swiftly, thereby facilitating a CI/CD approach in your machine learning setup. Many users manage numerous workflows, often with various versions of the same model. The SageMaker Pipelines model registry provides a centralized repository to monitor these versions, simplifying the selection of the ideal model for deployment according to your organizational needs. Additionally, SageMaker Studio offers features to explore and discover models, and you can also access them via the SageMaker Python SDK, ensuring versatility in model management. This integration fosters a streamlined process for iterating on models and experimenting with new techniques, ultimately driving innovation in your machine learning projects.
Description
OneDev serves as a comprehensive, open-source DevOps solution that consolidates Git repository management, CI/CD pipelines, issue tracking, kanban boards, and package registries all within a single interface. Users can easily craft CI/CD jobs through a user-friendly GUI that features options like typed parameters, matrix jobs, logic reuse, and effective cache management. The platform comes with integrated registries for various package types, including Docker, NPM, Maven, NuGet, and PyPi, making package management seamless. Additionally, OneDev promotes agile practices by allowing for progressive and iterative issue tracking through iterations. With built-in capabilities for code search and navigation, as well as Renovate integration for automated dependency updates, OneDev simplifies the development lifecycle. Its RESTful API further enhances its functionality, making it adaptable for various use cases. Designed for straightforward installation and upkeep, OneDev ensures robust performance and scalability, making it suitable for diverse development teams. The ongoing development and maintenance by a diverse community underscore its commitment to continuous enhancement and user support.
API Access
Has API
No
API Access
Has API
Yes
Integrations
APIFuzzer
No
Active Directory
No
Amazon SageMaker
Yes
Amazon Web Services (AWS)
Yes
Apache Maven
No
Docker
No
Git
No
Kubernetes
No
Microsoft Teams
No
NuGet
No
Integrations
APIFuzzer
Yes
Active Directory
Yes
Amazon SageMaker
No
Amazon Web Services (AWS)
No
Apache Maven
Yes
Docker
Yes
Git
Yes
Kubernetes
Yes
Microsoft Teams
Yes
NuGet
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$6 per month
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
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
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
Amazon
Founded
2006
Country
United States
Website
aws.amazon.com/sagemaker/pipelines/
Vendor Details
Company Name
OneDev
Country
United States
Website
onedev.io
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
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
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
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
DevOps
Approval Workflow
No
Dashboard
No
KPIs
No
Policy Management
No
Portfolio Management
No
Prioritization
No
Release Management
No
Timeline Management
No
Troubleshooting Reports
No
Source Code Management
Access Controls/Permissions
No
Bug Tracking
No
Build Automation
No
Change Management
No
Code Review
No
Collaboration
No
Continuous Integration
No
Repository Management
No
Version Control
No