Complexity Score
Calculated via Cyclomatic logic: V(G) = E - N + 2P (Simulated)
What is the Code Complexity Checker?
The Code Complexity Checker is a client-side static analysis utility designed to measure the structural complexity of programming functions. By analyzing branching patterns, loops, and conditional statements, the tool computes a Cyclomatic-style complexity score to help you identify fragile or over-nested code blocks.
This checker performs all code parsing locally using regex matching inside your browser session. Since no scripts, code snippets, or mathematical trees are sent to our servers, your proprietary logic and codebase layouts remain completely confidential.
How to Use the Code Complexity Checker
- Paste Your Script: Paste your function or block of code into the left textarea labeled "Code Input".
- Observe the Live Metrics: The right panel updates instantly, displaying your Cyclomatic Complexity score, Total Lines of Code (LOC), logical operators count, and maximum nesting depth.
- Check the Risk Profile: Review the color-coded score badge. A green badge indicates low risk, yellow represents moderate complexity, and red warns that the code is highly complex.
- Refactor Your Code: Simplify nested loops, reduce logical branches, and watch the complexity score recalculate in real-time as you edit.
- Clear Workspace: Click "Clear Input" to empty the editor and reset all metrics.
Key Features
- Cyclomatic Path Calculation: Estimates the number of independent execution paths in your function to gauge testability.
- Nesting Depth Measurement: Tracks maximum curly-brace or indentation indentation levels to flag deep loops and conditional nests.
- Risk Classification Badges: Groups complexity metrics visually into low, moderate, and high-risk categories.
- Real-Time Code Analysis: Evaluates your input dynamically as you type or paste without lagging the browser.
- 100% Client-Side Scan: Operates entirely in browser RAM for maximum security.
Common Use Cases
- Refactoring Code: Identify candidates for refactoring by finding functions with high branching counts.
- Peer Review Preparation: Audit your scripts before code reviews to ensure functions conform to clean code standards.
- QA Unit Testing: Pinpoint highly complex functions that require comprehensive test cases to achieve coverage.
- Software Engineering Education: Learn how control flow statements (like
if-else,loops, andswitches) impact overall code complexity.
Frequently Asked Questions
The parser scans your code for logic branching statements (like if, else if, for, while, catch, and case) and logical operators (like && and ||) to count the total decision points in the script.
In standard software engineering, a score of 1 to 10 is low risk. A score between 11 and 20 indicates moderate complexity, while any score above 20 is high risk, suggesting the function should be split into smaller, modular helpers.
No. 99tool.in processes all static analysis and metric calculations locally in your browser memory. Your source code is never shared, logged, or sent over the network.
The checker is optimized for C-style syntaxes (like JavaScript, TypeScript, PHP, C++, C#, and Java) but also works effectively with Python and other languages that share standard logic keywords.
Max nesting depth measures how deeply structures are nested (e.g., a loop inside another loop). Deep nesting degrades readability and makes code difficult to maintain and test.
🔒 Privacy & Data Note: Code complexity analysis and metric calculations are executed locally in your browser. None of your source code is sent to our servers.