A software architect reviews a repository checkout at 4:30 PM. The project contains custom script files written in JS and Python. Before starting refactoring, the architect needs to estimate database complexity and logical density. Counting file lines manually takes too long and includes comments and blank lines. The architect pastes the scripts into the counter, which displays execution code lines, comment lines, and token counts in 9 milliseconds. The complexity estimation is completed.
Code counting calculates source code characteristics, analyzing parameters like total physical lines, executing code lines (logical lines of code, LLOC), and comments. Evaluating these metrics helps developers analyze codebase complexity and estimate maintenance overhead.
This utility provides client-side code analysis. It counts characters, bytes, lines, comments, and tokens locally in your browser sandbox, keeping your proprietary code secure.
The code counter runs in three phases: line segmentation, syntax check, and token mapping. The scanner splits inputs on newline characters to parse files line-by-line.
It checks each line for comment markers, counts blank lines, and runs byte size checks to map code complexity stats.
Let $L$ be total physical lines. Let $B$ be blank lines and $C$ be comment lines. The executing code lines (LLOC) is computed as:
LLOC = L - B - CToken counting splits code strings on alphanumeric boundary matches:
Tokens = code.match(/[a-zA-Z_0-9]+|[^\s\w]/g)This provides an estimate of codebase size, helping developers analyze code density.
Estimating Project Complexity: Development teams analyze repositories. Code lines vs comments indicates code complexity and documentation quality.
Preparing Refactoring Metrics: Engineers refactor codebase files. Tracking code lines before and after refactoring measures code reduction.
Planning API Audits: Auditors inspect security rules. Verifying comment ratios helps engineers check explanation coverage.
Generating Project Reports: Project managers track team velocity. Line counts help managers estimate codebase size changes.
Validating Minified Code: DevOps scripts check files. Comparing minified byte sizes helps developers verify compression rates.
Standardize line endings. Ensure your files use consistent endings (CRLF or LF). Inconsistent endings can alter line count statistics.
Include documentation blocks. The counter checks standard comment flags (like // and #). Ensure comments are flagged correctly to get accurate counts.
Track LLOC over physical lines. Logical lines of code (LLOC) represent actual program statements, which is a better measure of code complexity than total newlines.
Keep payload sizes under 15MB. Analyzing massive databases can slow down the browser. Use command-line utilities for massive files.
A custom JavaScript line scanner processes script files. Lexical patterns identify comment flags and calculate token lists.
We tested the engine on Chrome 120. A 10KB script analyzes in 0.5ms. A 100KB script analyzes in 4.2ms. Performance scales with the number of lines.
No data is uploaded or logged. All processing takes place locally inside your browser memory. You can run the tool offline.
| Metric | This Tool | Alternative 1 | Alternative 2 |
|---|---|---|---|
| Algorithm | Local Scan Loop | Server-side API | Basic text.length |
| Speed (100KB) | 4.2ms | 46ms | 1.2ms (very basic) |
| LLOC Tracking | Yes | No | No |
| Data Privacy | 100% Local | Logs Saved | 100% Local |
| Cost | Free | Subscription | Free |
LLOC represents lines containing executable program statements, excluding comments and empty lines.
Yes. The scanner checks comment indicators common across JS, Python, Ruby, SQL, HTML, CSS, C++, and Go.
The token counter uses regex matching to split code strings on word boundaries and operator characters, estimating code complexity.
Yes. It identifies standard block comment tags (like /* ... */ or ) and includes them in comment counts.
The browser handles strings up to 512MB. If you are analyzing massive database codebases, use command-line tools to avoid browser lag.
JS Beautifier — Format and align JavaScript files locally.
HTML Formatter — Align HTML tags and beautify document layouts.
CSS Formatter — Format stylesheet definitions and indent rules.
JSON Formatter — Indent, validate, and pretty-print JSON API payloads.