I am a seasoned software development engineer with over 15 years of professional experience. Since graduating, I have honed my expertise across various software companies and diverse industries, contributing to several prominent platforms.
I describe myself as a technology enthusiast with a perfectionist streak. My deep focus on the essence of technical problems and my serious demeanor can sometimes make me appear as a "stern boss"—a trait that my family occasionally finds amusingly intense. However, my outlook on life is grounded in broad-mindedness, defined by love, loyalty, and an appreciation for beauty. I find great joy in exploring cultural differences across regions and harbor a hidden artistic flair.
My recent relocation to Malaysia was driven by a desire to provide my daughter with a comprehensive, formal education. As a holder of the MM2H (10-year residency) visa, I am restricted from seeking employment with local Malaysian companies.
Rather than seeing this as a limitation, I viewed it as an opportunity. Fueled by my lifelong passion for programming and recognizing a critical gap in the JavaScript/TypeScript ecosystem—the absence of a standardized, high-performance data structures library—I embarked on the journey to build data-structure-typed.
To seamlessly integrate into the standard library of JavaScript and TypeScript.
- Queue & Deque: Developers often resort to using JavaScript Arrays to simulate Queues. However,
Array.shift()has a time complexity of O(n). We have implemented Queue and Deque structures with O(1) time complexity, offering massive performance gains for large datasets. - HashMap: The built-in JavaScript
Mapis technically aLinkedHashMapbecause it maintains insertion order. This comes with overhead. We have implemented a pure HashMap that prioritizes raw performance over ordering.
- Heap / Priority Queue: Essential for efficient algorithms, Heaps support O(log n) insertion/deletion and O(1) access to min/max values. These are standard in other languages but missing natively in JS.
- Red-Black Tree: A staple in database and system design, the Red-Black Tree offers the best balance between lookup, insertion, and deletion performance among balanced binary search trees.
Our benchmarks show that data-structure-typed implementations often surpass native JS structures (like Queue vs Array) and are comparable to standard libraries in languages like C++ or Java. We are continuously refining complex structures like Graph and AVL Tree.
- Standard Naming: We implement standard methods (
forEach,filter,map,reduce,find,clear, etc.) across all data structures for consistency. - ES6 Compliance: We use generators for
[Symbol.iterator],keys(),values(), andentries(). This allows for lazy evaluation and better control during traversal. - Predictable Interfaces:
- Constructors: Always accept
(data, configuration). - Return Types: Methods like
add()consistently return booleans to indicate success. - Iterables: Seamlessly convert between data structures (e.g., initialize a Tree from an Array).
- Constructors: Always accept
For technical specifications, benchmarks, and API documentation, please visit:
The project is gaining traction in the open-source community:
From a strict software engineering perspective, I consider data-structure-typed to be 75% complete.
Your sponsorship is not just a donation; it is an investment in the JavaScript ecosystem. It will allow me to:
- Accelerate Development: Swiftly bring the project to 95% completion, polishing edge cases and documentation.
- Sustain Maintenance: Support my family while I dedicate full-time effort to this open-source work.
- Achieve Standardization: Help push this library closer to becoming a de-facto standard for TS/JS developers worldwide.
Thank you for supporting open source and high-performance software engineering!