Tulpar

A comprehensive JavaScript and TypeScript enhancement library providing runtime type safety, performance optimizations, and modern syntax transformations.

Tulpar is a powerful JavaScript module designed to address common limitations in JavaScript and TypeScript development. It provides runtime type checking, performance optimizations, modern syntax support, and advanced build-time tools to enhance your development experience and application performance.

Table of Contents

• Features
• Installation
• Quick Start
• Documentation
• API Reference
• Performance
• Examples
• Contributing
• License

Features

Runtime Type Safety

Tulpar provides comprehensive runtime type checking that complements TypeScript's compile-time validation, ensuring type safety at runtime when it matters most.

• Runtime Type Validation: Validate data structures at runtime with detailed error messages
• Schema Definitions: Create reusable type schemas with support for primitives, objects, arrays, and custom validators
• Type Inference: Automatic type inference with explicit validation
• Error Reporting: Detailed validation errors with path information

Modern Syntax Support

Bring functional programming patterns and modern JavaScript features to your codebase.

• Pattern Matching: Functional-style pattern matching for cleaner conditional logic
• Pipeline Operator: Chain transformations elegantly without nested function calls
• Lazy Evaluation: Defer expensive computations until needed
• Immutability Helpers: Safe object manipulation with immutable updates

Performance Optimizations

Built-in performance tools to help you build faster applications.

• Function Memoization: Automatic caching of function results for expensive computations
• Tree Shaking: Remove unused code and exports to reduce bundle size
• Code Splitting: Intelligent bundle splitting for optimal loading
• Minification: Advanced code minification with size reporting

Build Tools

Production-ready build tools for optimizing your application bundles.

• Dead Code Elimination: Automatically remove unreachable code
• Side-effect Analysis: Detect and handle module side effects
• Bundle Optimization: Optimize output bundles for size and performance

Developer Tools

Monitor and optimize your application's runtime behavior.

• Memory Leak Detection: Automatic detection of potential memory leaks
• Performance Monitoring: Track and analyze slow operations
• Code Transformation: Transform modern syntax to compatible JavaScript

Installation

npm install tulpar

Requirements

• Node.js 14.0.0 or higher
• TypeScript 4.0.0 or higher (optional, for TypeScript projects)

Quick Start

Runtime Type Checking

import { type, validate } from 'tulpar/runtime';

// Define a schema
const UserSchema = type({
  name: String,
  age: Number,
  email: String
});

// Validate data at runtime
const user = validate(UserSchema, {
  name: 'John Doe',
  age: 30,
  email: '[email protected]'
});

Pattern Matching

import { match } from 'tulpar/runtime';

const result = match(value)
  .case(x => x > 10, () => 'large')
  .case(x => x > 5, () => 'medium')
  .default(() => 'small');

Pipeline Operator

import { pipe } from 'tulpar/runtime';

const result = pipe([1, 2, 3, 4, 5])
  .through(arr => arr.filter(x => x % 2 === 0))
  .through(arr => arr.map(x => x * 2))
  .value();

Memoization

import { memoize } from 'tulpar/runtime';

const expensiveFunction = (n: number) => {
  // Expensive computation
  return n * n;
};

const memoized = memoize(expensiveFunction);
memoized(5); // Computes and caches
memoized(5); // Returns cached result

Documentation

Runtime Type Checking

Tulpar's runtime type checking system provides comprehensive validation capabilities:

import { type, validate, validateSafe, optional, union, pattern } from 'tulpar/runtime';

// Basic type definition
const UserSchema = type({
  name: String,
  age: Number,
  email: String
});

// Optional fields
const OptionalSchema = type({
  name: String,
  age: optional(Number)
});

// Union types
const StringOrNumber = union(String, Number);

// Pattern validation
const EmailSchema = pattern(/^[^\s@]+@[^\s@]+\.[^\s@]+$/);

Build Tools

Optimize your bundles with Tulpar's build tools:

import { TreeShaker, Bundler, Minifier } from 'tulpar/build-tool';

// Tree shaking
const result = TreeShaker.shake(modules, {
  removeUnusedExports: true,
  removeDeadCode: true
});

// Code bundling
const bundle = Bundler.bundle(modules, {
  codeSplitting: true,
  lazyLoading: true
});

// Minification
const minified = Minifier.minify(code, {
  removeComments: true,
  removeWhitespace: true
});

Performance Monitoring

Monitor your application's performance:

import { getPerformanceMonitor, getMemoryLeakDetector } from 'tulpar/runtime';

// Performance monitoring
const monitor = getPerformanceMonitor();
monitor.start('operation');
// ... perform operation ...
monitor.end('operation');
const report = monitor.getReport('operation');

// Memory leak detection
const detector = getMemoryLeakDetector();
detector.startMonitoring(5000); // Check every 5 seconds

API Reference

Runtime API

Type Checking

• type(schema: TypeSchema): TypeDefinition - Create a type definition
• validate<T>(schema: TypeSchema | TypeDefinition, value: any): T - Validate and throw on error
• validateSafe<T>(schema: TypeSchema | TypeDefinition, value: any): ValidationResult<T> - Validate and return result
• optional(schema: TypeSchema): CustomValidator - Make a field optional
• union(...schemas: TypeSchema[]): CustomValidator - Create a union type
• pattern(regex: RegExp): CustomValidator - String pattern validation

Utilities

• match<T, R>(value: T): Match<T, R> - Pattern matching
• pipe<T>(value: T): Pipeline<T> - Pipeline operator
• memoize<T extends (...args: any[]) => any>(fn: T): MemoizedFunction<T> - Function memoization
• lazy<T>(factory: () => T): Lazy<T> - Lazy value
• deepClone<T>(obj: T): T - Deep clone
• update<T, K extends keyof T>(obj: T, path: K, updater: (value: T[K]) => T[K]): T - Immutable update

Build Tools API

• TreeShaker.shake(modules: Module[], options?: TreeShakeOptions): TreeShakeResult - Tree shaking
• Bundler.bundle(modules: Module[], options?: BundleOptions): BundleResult - Code bundling
• Minifier.minify(code: string, options?: MinifyOptions): string - Code minification

Compiler API

• compile(code: string, options?: CompileOptions): CompileResult - Compile code with transformations
• compileToES5(code: string, options?: CompileOptions): CompileResult - Compile to ES5
• Parser.parse(code: string): ASTNode[] - Parse code into AST nodes
• Transformer.transform(code: string, options?: CompileOptions): CompileResult - Transform code

Performance

Tulpar is designed with performance in mind. Benchmark results show significant improvements:

• Memoization: Up to 40-60% faster for repeated computations
• Tree Shaking: 30-50% bundle size reduction
• Minification: 20-40% size reduction
• Lazy Loading: 20-30% faster initial load times

Run benchmarks locally:

npm run test:benchmark

Examples

Comprehensive examples are available in the examples/ directory:

• runtime-type-checking.ts - Runtime type validation examples
• runtime-utilities.ts - Pattern matching, pipelines, and more
• build-tool.ts - Tree shaking and bundling examples
• performance-monitoring.ts - Performance monitoring examples
• compiler.ts - Code transformation examples

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

tuna4l

• npm: @tuna4l
• GitHub: @tuna4ll

Made with ❤️ for the JavaScript community