Count lines of code, blank lines, comments
Tan Phat Digital's Line Counter tool is the perfect solution for developers, project managers, and QA engineers who need to quickly and accurately analyze and analyze code. Counting the total number of lines of code (LOC) is an important metric in software development to estimate effort, track productivity, and evaluate codebase complexity. The tool not only counts the total number of lines but also classifies the details: lines with content (non-empty lines), empty lines (blank lines), actual lines of code (comments removed), and comment lines (// # /* */). Additional statistics include longest line length and average line length - useful for evaluating code style and readability. Multi-language support with popular comment syntax: // for JavaScript, TypeScript, Java, C++, C#, Go, Rust; # for Python, Ruby, Shell, YAML; /* */ for multi-line comments. Completely offline processing in the browser, no code sent to the server, ensuring absolute security for proprietary code. Realtime interface - statistics update as soon as you paste or edit code. Completely free, unlimited file size, no account registration required.
Lines of Code (LOC) is one of the most basic metrics in software engineering, used since the early days of the industry. Although LOC is not a perfect measure of productivity or quality, it still has many important practical applications. Estimation and Planning: LOC helps estimate effort for similar projects in the future - if project A has 10,000 LOC and takes 3 months, similar project B can be estimated equivalently. Tracking Progress: Tracking LOC over time shows team velocity and project progress. Code Review: Knowing the number of lines of code helps allocate time for code review - 500 LOC review is different from 5000 LOC. Complexity Assessment: Large codebases are often more complex, requiring more testing and maintenance. Technical Debt: Comment/code ratio, blank lines show code quality and documentation level. Billing and Contracts: Some contracts are calculated according to LOC delivered. Refactoring Decisions: Compare LOC before and after refactoring to evaluate simplification. However, remember: LOC does not measure quality - 100 lines of good code can be more valuable than 1000 lines of bad code. Use LOC as one of many metrics, not the only metric.
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