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⚡ FastJava — Native Java Performance Ecosystem [ALPHA]

5-50× faster than standard Java — JNI-native libraries for automation, screen capture, graphics, math, JSON, and more.

License: MIT Java JitPack


🗺️ The Ecosystem Map

A unified directory of all FastJava modules. Categorized by functional domain, including real-world performance benchmarks.

1. Input

Module Speed vs Java Key Metrics Tech Status
FastHotkey ❌ Java can't Global hotkeys — no Java API Win32 hooks Alpha
FastKeyboard 16× RawInput vs standard AWT KeyListener RawInput API Alpha
FastTouch ❌ Java can't Multi-touch pressure — no Java API Win32 touch Alpha
FastStylus ❌ Java can't Pen tilt/eraser — no Java API exists WM_POINTER Alpha
FastMouse Raw mouse reading RawInput API TODO
FastGamepad Controller support XInput TODO

2. Output

Module Speed vs Java Key Metrics Tech Status
FastDisplay Instant Native DPI/resolution/refresh-rate Win32, DWM Alpha
FastDWM VSync & timing DWM API TODO

3. Automation

Module Speed vs Java Key Metrics Tech Status
FastRobot 10-17× DirectX capture vs AWT Robot DirectX Alpha
FastUIA ❌ Java can't Native UIA vs slow polling Native UIA Alpha
FastWindow Flicker-free resize vs standard JFrame Win32 API Alpha
FastProcess Process management Win32 API TODO
FastScheduler Task scheduler Priority queue TODO

4. Graphics

Module Speed vs Java Key Metrics Tech Status
FastGraphics 600% GPU DirectX vs Java2D software DirectX, GPU Alpha
FastImage 10-50× SIMD resize/blur vs BufferedImage SIMD, AVX2 Alpha
FastImageView 10× 200ms startup vs 2s Swing DirectX Alpha
FastPreview ❌ Java can't Native rasterization vs slow Swing PDFium, WV2 Alpha
FastScreen 500-2000 FPS DXGI zero-copy vs 60 FPS Robot DXGI, DX Alpha
FastGhostMouse 120Hz GPU Secondary mouse overlay DComposition Alpha
FastOverlay Game overlays DirectX TODO

5. Audio

Module Speed vs Java Key Metrics Tech Status
FastAudioCapture ❌ No WASAPI Real-time capture vs Java Sound WASAPI Alpha
FastAudioPlayer ❌ No WASAPI Low-latency playback vs Java Sound WASAPI Alpha
FastTTS Text-to-speech Piper/Cloud TODO
FastSTT Speech-to-text Whisper TODO

6. Parsing

Module Speed vs Java Key Metrics Tech Status
FastBytes 2-50× AVX2 bulk ops vs standard Java SIMD, AVX2 Alpha
FastJSON 50× 50× faster than Jackson/Gson SIMD, Zero-GC Alpha
FastString 10-100× UTF-8 ops vs Java String SIMD, UTF-8 Alpha
FastTokenizer 10-25× O(n) SIMD scanner vs slow Regex Deterministic Alpha
FastHTML HTML parser SIMD TODO
FastRegex SIMD regex engine AVX2 TODO

7. Math

Module Speed vs Java Key Metrics Tech Status
FastFloat 5-12× SIMD parsing vs Float.parseFloat() SIMD, AVX2 Alpha
FastMath 3-8× JNI SIMD + OpenCL GPU vs java.lang.Math OpenCL, SIMD Alpha
FastSIMD SIMD operations framework AVX2/512 TODO

8. Filesystem

Module Speed vs Java Key Metrics Tech Status
FastFileIndex Native mmap scan vs Files.walk() mmap, scan Alpha
FastFileSearch 100-1000× Indexed trie vs linear search Prefix trie Alpha
FastFileSystem Unified Index + Search + Watch in one API Unified API Alpha
FastFileWatch 10-100× USN Journal vs WatchService USN Journal Alpha

9. System

Module Speed vs Java Key Metrics Tech Status
FastClipboard 2-3× Native vs AWT, zero bugs Win32 API Alpha
FastIO 2.5-11× AVX2 Search, DMA Copy, mmap AVX2, DMA Alpha
FastCore Cross-platform DLL loader JNI Loader Alpha
FastPointer Native pointer operations JNI TODO
FastMemory System/RAM access Unsafe TODO
FastHardware Global hardware telemetry PDH/WMI TODO

10. Network

Module Speed vs Java Key Metrics Tech Status
FastNet Network operations Zero-copy TODO
FastDNS DNS resolver Async TODO
FastTLS TLS/HTTPS OpenSSL TODO

11. Security

Module Speed vs Java Key Metrics Tech Status
FastCrypto Encryption AES/SIMD TODO
FastSecureRandom Secure RNG Hardware TODO
FastKeychain Credential store Windows TODO

12. AI

Module Speed vs Java Key Metrics Tech Status
FastAIService Router/Orchestrator API TODO
FastModel Model-Runtime ONNX TODO
FastRAG Retrieval-Augmented Generation Pipeline TODO
FastMCP Model Context Protocol Adapter MCP TODO

13. Vision

Module Speed vs Java Key Metrics Tech Status
FastOCR 10× faster WinRT OCR vs Tesseract4J WinRT OCR Alpha
FastVision Vision-Modelle / GPU-Kernels GPU shaders TODO

14. Animation

Module Speed vs Java Key Metrics Tech Status
FastAnimation Zero overhead No built-in timelines — pure Java Timeline Alpha
FastTween Zero overhead No built-in tweening Pool Alpha

15. UI

Module Speed vs Java Key Metrics Tech Status
FastTheme ❌ Java can't Native Windows theming WinRT, DWM Alpha
FastNotification ❌ Broken SystemTray broken → native WinRT WinRT, Toast Alpha

🎯 Philosophy

Java alone cannot do:

  • ❌ Global hotkeys when unfocused
  • ❌ Low-latency screen capture
  • ❌ Reliable clipboard operations
  • ❌ Hardware I/O access
  • ❌ GPU acceleration
  • ❌ Native input devices

FastJava fixes this. Pure C++ accelerators. JNI bindings. Zero overhead.


🌌 Origin Story

🌒 WHY — The Restlessness Before the First Module

Junior: "Java is slow… right? Everyone says that. Must be normal." Senior: "No. That's not a law of nature. That's just bad architecture." Designer: "I see friction. I see unnecessary layers. This feels wrong." A shift begins: acceptance → doubt → clarity. Java developers treat slowness like gravity: unavoidable, unquestioned, built into the universe. We refused that worldview. We wanted proof that "slow" wasn't a law of nature — just a habit.

🌕 HOW IT STARTED — The Moment Everything Shifted

Junior: "Let me try something small… maybe Clipboard?" Senior: "Do it native. No overhead. No framework weight." Designer: "If this is faster, it proves something bigger." FastClipboard appears. Twice as fast. Zero bugs. The mental state moves: experiment → proof → vision.

🌖 BECAUSE — The Realization That Changed Everything

Junior: "Why does everything feel heavy?" Senior: "Because Java isn't slow — only the layers above it are." Designer: "The language isn't the problem. The design of the tools is." The shift continues: frustration → analysis → realization. Java's "write once, run anywhere" became "write once, run slow everywhere." Native code isn't the enemy — unnecessary abstraction is.

🌑 THEREFORE — The Reason FastJava Exists

Junior: "Can't we just make this better?" Senior: "Yes. Minimal overhead. Native where it matters. Java where it makes sense." Designer: "This isn't a framework. It's a counter-design." The state settles: desire → decision → identity. Maximum performance through minimal overhead. JNI where it matters. Pure Java where it doesn't.


⚡ The Truth About Speed

I run the benchmarks myself. I don't negotiate with numbers. I don't sweet-talk performance. I don't pretend something is fast because I want it to be. Speed doesn't care about opinions — only measurements. I can't lie to myself, because the CPU won't lie back. Faster is faster. Slower is slower. Reality is binary at that level.

This isn't about money. This isn't about hype. This isn't about selling anything.

This is about quality — the kind you can't fake, can't market, can't decorate. The kind you can only prove.

FastJava exists because truth shows up in microseconds, not in slogans.


🚧 Current Status

[ALPHA] — APIs may change. Not production-ready yet.

  • 29 Released — Available now on GitHub & JitPack
  • 🚧 14 Coming Soon — Audio, Vision, AI, Advanced System (2026-2027)
  • 🔄 37 Planned — Full 78-module pipeline
  • ✅ Windows fully supported — Linux/macOS in progress


Keywords: fast java, java native performance, java jni performance, fastest java libraries, java native acceleration, java windows api, java gpu acceleration, java simd acceleration, java optimization, high performance java