It can identify thorny problems such as security vulnerabilities and execution path errors.Sonarqube comes with two sub tools, in which sonar scanner is responsible for performing analysis and sonarqube server is responsible for managing and saving the results. Of course, sonarqube is also easy to match with CI / CD pipeline for effective code quality management. As a static code analysis tool, it can find code errors, anti patterns, and security vulnerabilities in Python. Sonarqube provides continuous analysis of code quality by performing automatic checks. The setup and configuration pages are complex.Lack of functionality to export code patterns.It is not possible for developers to prioritize the problems found.Each pull request and submission can be analyzed separately.By shielding “noise”, users can focus on emerging problems.Remind developers by providing various automated resource suggestions.You can continuously analyze the quality of your code.
At the same time, it can help developers carry out “pure” code review on the basis of maintaining code integrity. After the analysis is completed, it will actively clear the code base to reduce the exposure of security risks.Ĭodacy can provide code review for various general-purpose programming languages (such as Python) and submit reports on code coverage, repetition rate and complexity. In addition, in order to facilitate various operations on the private repository, deepsource can use a special token to obtain the code for each pull request or submission, and analyze it in an isolated environment. Since access to the corresponding framework is provided, maintenance personnel can easily use deepsource for application review.
#Best code review tools software#
Generally speaking, the static code analysis tool will analyze the target program code every time a request is submitted or extracted, and find various problems in the quality, security, style and other aspects of the program code before the actual deployment and release of the software product. Such static analysis tools to solve this problem and reduce various possible false positives.Īt the same time, with the expansion of the software development team, many developers often need to use the static code analysis tool to help the team identify various code level errors and anti patterns as soon as possible in the early stage of development. To do this, we need to pass such as pylint or flake8 Obviously, the above problems will not only affect the readability of the code, but also make the code more readable examinationThe work becomes more complex. Missing appropriate spaces before and after parentheses, square brackets, or braces.The appropriate format indentation is missing.Function is missing arguments in various calls.So Python codeThe following common quality problems often occur: Although PythonLanguage is one of the most flexible development languages at present, but developers often abuse its flexibility and even violate relevant standards.
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