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features 0 out of 5 stars
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Total 5 out of 5 stars
ease 5 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 5 out of 5 stars

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What is Sider Scan?

Sider Scan is a remarkably effective tool created for software developers to quickly identify and keep track of code duplication issues. It works effortlessly with various platforms like GitLab CI/CD, GitHub Actions, Jenkins, and CircleCI®, and can be installed through a Docker image for convenience. This tool allows team members to easily share the results of their analyses and performs continuous, swift assessments that run in the background without disruption. Users are also provided with dedicated support via both email and phone, enhancing their overall experience with the tool. By delivering thorough analyses of duplicate code, Sider Scan plays a significant role in improving the long-term quality and maintenance of codebases. It is specifically designed to complement other analysis tools, allowing development teams to produce cleaner code while facilitating a seamless continuous delivery process. The tool detects duplicate code fragments within a project and categorizes them into related groups. For each duplicate pair, a diff library is created, and pattern analyses are initiated to identify any underlying issues, a method referred to as the 'pattern' analysis technique. Additionally, to ensure effective time-series analysis, it is essential for scans to be conducted at consistent intervals, which aids in ongoing monitoring. By promoting regular assessments, Sider Scan empowers development teams to uphold high coding standards while proactively tackling duplication challenges, ultimately fostering a culture of code excellence. This consistent effort not only streamlines development processes but also encourages collaboration among team members to achieve common goals.

What is Amazon CodeGuru?

Amazon CodeGuru is a cutting-edge tool designed for developers that employs machine learning to provide valuable recommendations for improving code quality while identifying the most expensive lines of code within an application. By integrating Amazon CodeGuru into your existing software development workflow, you can take advantage of automated code reviews that help highlight and enhance these costly segments of code, ultimately leading to lower overall expenses. In addition, Amazon CodeGuru Profiler aids developers by pinpointing the most resource-demanding lines of code, offering detailed visual representations and actionable advice for optimizing the code to save costs. Moreover, Amazon CodeGuru Reviewer uses machine learning techniques to uncover critical issues and subtle bugs during the application development process, thus improving the code's overall quality. This all-encompassing strategy not only simplifies the development process but also cultivates a more efficient and economically viable coding environment. By leveraging these tools, developers can significantly enhance both their productivity and the reliability of their applications.

Media

Media

Integrations Supported

GitHub
Java
Python
C
C++
CircleCI
Docker
Git
GitLab
Objective-C
PHP
Ruby
Visual Basic

Integrations Supported

GitHub
Java
Python
AWS App Mesh
AWS CodeCommit
AWS Fargate
AWS Lambda
Amazon EC2
Amazon EKS
Bitbucket

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Sider Scan

Company Location

United States

Company Website

siderlabs.com/scan/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/codeguru/

Categories and Features

Code Quality

Not specified

Static Code Analysis

Not specified

Categories and Features

AI Code Review

Not specified

Application Performance Monitoring (APM)

Baseline Manager
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance

Code Quality

Not specified

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization

Static Code Analysis

Not specified

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