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Azure Machine Learning Studio VS SonarQube

Compare Azure Machine Learning Studio VS SonarQube and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Azure Machine Learning Studio logo Azure Machine Learning Studio

Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

SonarQube logo SonarQube

SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
  • Azure Machine Learning Studio Landing page
    Landing page //
    2021-08-03
  • SonarQube Landing page
    Landing page //
    2023-07-12

SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code. SonarQube integrates into the developers' CI/CD pipeline and DevOps platform to detect and help fix issues in the code while performing continuous inspection of projects.

Supported by the Sonar Clean as You Code methodology, only code that meets the defined quality standard can be released to production. SonarQube analyzes the most popular programming languages, frameworks, and infrastructure technologies and supports over 5,000 Clean Code rules.

Trusted by 7 million developers and 400,000 organizations globally to clean more than half a trillion lines of code, Sonar has become integral to delivering better software.

Explore our pricing and request an evaluation: https://www.sonarsource.com/plans-and-pricing/

Azure Machine Learning Studio videos

+ Add

Azure Machine Learning Studio

More videos:

  • Review - Introduction to Microsoft Azure Machine Learning Studio & Services

SonarQube videos

+ Add

What is SonarQube?

More videos:

  • Tutorial - What is SonarQube? How to configure a maven project for Code Coverage | Tech Primers
  • Tutorial - How to analyze code quality using SonarQube | Easy tutorial

Category Popularity

0-100% (relative to Azure Machine Learning Studio and SonarQube)

Azure Machine Learning Studio

SonarQube

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Code Analysis
0 0%
Code Analysis
100% 100
Machine Learning
100 100%
Machine Learning
0% 0
Code Coverage
0 0%
Code Coverage
100% 100

User comments

Share your experience with using Azure Machine Learning Studio and SonarQube. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure Machine Learning Studio and SonarQube

Azure Machine Learning Studio Reviews

We have no reviews of Azure Machine Learning Studio yet.
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SonarQube Reviews

5 Best DevSecOps Tools in 2023
Whereas OWASP ZAP scans your website once it has been deployed (known as dynamic code scanning), SonarQube/SonarCloud is a product/service that will scan the source code itself before it is deployed and alert on any possible security issues related to the source code. This is known as static code scanning. It looks for things that can be exploited. Things such as not...
Source: devopsauthority.tech
Ten Best SonarQube alternatives in 2021
Other critical elements to bear in mind even as mastering alternatives to SonarQube embody Integration and initiatives. We have compiled a listing of SonarQube alternatives that reviewers voted for because of the excellent standard options to employ instead of SonarQube.
Source: duecode.io
TOP 40 Static Code Analysis Tools (Best Source Code Analysis Tools)
It is possible to integrate it into Visual Studio, IntelliJ IDEA, and other widespread IDE. The results of the analysis can be imported into SonarQube.
Source: www.softwaretestinghelp.com
Top 4 Open Source Security Testing Tools to Test Web Application
Though written in Java, it can analyze over twenty different programming languages. It can easily integrate with continuous integration tools like Jenkins server, etc. The results will be populated to the SonarQube server with ‘green’ and ‘red lights’.
Source: www.softwaretestinghelp.com
11 Interesting Tools for Auditing and Managing Code Quality
SonarQube is the most popular code quality and security analysis tool in the market. With the support of the open-source community, Sonarqube presently can analyze and produce outputs for over 25 programming languages, which are higher than most tools in the market.
Source: geekflare.com

Social recommendations and mentions

Based on our record, Azure Machine Learning Studio should be more popular than SonarQube. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure Machine Learning Studio mentions (2)

  • What are all possible FREE Machine Learning integrations with Power BI?
    Machine Learning studio https://studio.azureml.net/ but this will be discontinued in Dec 01,2021 :(. Source: over 2 years ago
  • Stumbling into BI as a job role and need advice
    Advanced analytics, predictive modeling: You can't go passed learning R or Python if you're that way inclined.. however, if you're a GUI monkey like me, I have had a fair amount of success using https://studio.azureml.net/ it's free at base level :). Source: about 3 years ago

SonarQube mentions (1)

  • Google: C++20, How Hard Could It Be
    Even for Java, C# and JS we do enforce such kind of rules, e.g. https://sonarqube.org. - Source: Hacker News / over 1 year ago

What are some alternatives?

When comparing Azure Machine Learning Studio and SonarQube, you can also consider the following products

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

CodeClimate - Code Climate provides automated code review for your apps, letting you fix quality and security issues before they hit production. We check every commit, branch and pull request for changes in quality and potential vulnerabilities.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Checkmarx - The industry’s most comprehensive AppSec platform, Checkmarx One is fast, accurate, and accelerates your business.

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