What are the code statistics tools in Linux?

The code statistics tools in Linux include: 1. Cloc, which is used to count the number of lines, comment lines and blank lines of source code; 2. SLOCCount, which can analyze the source code files in the project directory; 3 , tokei, supports multiple programming languages, and can quickly count the number of lines of code; 4. cloc_github, counts the number of lines of code based on the warehouse address, and generates detailed reports; 5. statsvn, counts the number of lines of code, modifications and other information in the SVN version library ; 6. GitStats can generate information about the number of submissions.

The operating system of this tutorial: Linux5.18.14 system, Dell G3 computer.

In the Linux development process, there are some commonly used code statistics tools that can help developers understand information such as code volume, file count, and line count statistics. The following are some common Linux code statistics tools:

1. Cloc: Cloc is a cross-platform command line tool used to count the number of lines of source code, the number of comment lines and blank lines. numbers and supports multiple programming languages.

2. SLOCCount: SLOCCount is a customizable line-of-code statistics tool that can analyze the source code files in the project directory and generate a detailed statistical report of the number of lines of code.

3. tokei: tokei is another cross-platform line-of-code counting tool that supports multiple programming languages ​​and can quickly count lines of code, number of files and other information.

4. cloc_github: cloc_github is a line-of-code counting tool for GitHub warehouses. It can count the number of lines of code based on the warehouse address and generate detailed reports.

5. statsvn: statsvn is a tool that counts the number of lines of code, modifications and other information in the SVN repository. It can generate charts and reports to facilitate code analysis and visualization.

6. GitStats: GitStats is a code statistics tool based on the Git version control system, which can generate statistical reports on the number of submissions, contributors, lines of code, etc.

These tools can help developers understand the size, complexity and contributor activity of the code base, and contribute to project management and code quality control. According to different needs and programming languages, choose the appropriate code statistics tool to use.

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