⚡ FastJava — Native Java Performance Ecosystem [ALPHA]

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

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🗺️ 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
FastKeylogger	—	Global asynchronous keyboard tracking	Win32 Hooks	Alpha
FastMouse	—	Raw mouse reading	RawInput API	Alpha
FastGamepad	—	Controller support	XInput	TODO

2. Output

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

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	8×	Flicker-free resize vs standard JFrame	Win32 API	Alpha
FastScrape	—	High-performance DOM scraping	Native HTML	Alpha
FastSpider	—	Asynchronous high-speed web crawler	NIO / Async	Alpha
FastProcess	—	Process management	Win32 API	TODO
FastScheduler	—	Task scheduler	Priority queue	TODO

4. Graphics

Module	Speed vs Java	Key Metrics	Tech	Status
FastGhostMouse	120Hz GPU	Secondary mouse overlay	DComposition	Alpha
FastThumb	—	Native OS thumbnail extraction	Windows Shell	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
FastOverlay	—	Game overlays	DirectX	Alpha
FastImage	10-50×	SIMD resize/blur vs BufferedImage	SIMD, AVX2	Alpha
FastImageView	10×	200ms startup vs 2s Swing	DirectX	Alpha
FastGraphics	600%	GPU DirectX vs Java2D software	DirectX, GPU	Alpha

5. Audio

Module	Speed vs Java	Key Metrics	Tech	Status
FastAudioCapture	❌ No WASAPI	Real-time capture vs Java Sound	WASAPI	Alpha
FastAudioPlayer	20-30×	Low-latency playback vs Java Sound	WASAPI	Alpha
FastWakeWord	—	Always-on native wake-word detection	Audio DSP	Alpha
FastTTS	—	Text-to-speech	Piper/Cloud	Alpha
FastSTT	—	Speech-to-text	Whisper	Alpha

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
FastANSI	45-48×	Zero-allocation ANSI state parser	State Machine	Alpha
FastEmojis	34-56×	Zero-allocation Emoji width engine	East Asian Width	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	8×	Native mmap scan vs Files.walk()	mmap, scan	Alpha
FastFileContentIndex	—	High-speed in-file text indexing	SIMD	Alpha
FastFileWatch	10-100×	USN Journal vs WatchService	USN Journal	Alpha
FastFileSearch	100-1000×	Indexed trie vs linear search	Prefix trie	Alpha
FastFileScrape	5–10×	Native file scraping vs Java IO	Tree + Content	Alpha
FastGLOB	13×	Native Win32 globbing vs PathMatcher	Win32, C++	Alpha
FastFileSystem	Unified	Index + Search + Watch in one API	Unified API	Alpha

9. System

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

AI Brain

Module	Speed vs Java	Key Metrics	Tech	Status
FastAI	—	Provider-Router (lokal/Cloud)	API	TODO
FastAIAgent	—	Agenten-Logik, Tool-Auswahl	LLM	TODO
FastAIReasoner	—	Planning & Multi-Step-Reasoning	Logic	TODO
FastAIWorkflow	—	Multi-Agent-Pipelines & DAG	Orchestrator	TODO
FastAIState	—	Shared Agent State / Blackboard	Memory	TODO

AI Memory

Module	Speed vs Java	Key Metrics	Tech	Status
FastAISession	—	Conversation Lifecycle	History	TODO
FastAIContext	—	Kontext-Management, Rollen	State	TODO
FastAIMemory	—	Kurzzeit- & Langzeit-Gedächtnis	Vector DB	TODO
FastAIVectorDB	—	Vektor-Store für Memory & RAG	SIMD	TODO
FastAIEmbedding	—	Embedding-Service	Model	TODO
FastAIRAG	—	Retrieval-Pipeline	RAG	TODO

AI Engine

Module	Speed vs Java	Key Metrics	Tech	Status
FastModel	—	Lokale Inferenz-Runtime (gguf/ONNX)	ONNX	TODO
FastAIStream	—	Token-Streaming-Engine	Pipeline	TODO
FastAIToken	—	Tokenization, Counting, Budgeting	Tokenizer	TODO
FastAICache	—	Antwort- & Embedding-Caching	Cache	TODO

AI Hands

Module	Speed vs Java	Key Metrics	Tech	Status
FastAIToolBridge	—	Tool-Ausführungsschicht	API	TODO
FastAIMCP	—	Model Context Protocol Adapter	MCP	TODO
FastAISandbox	—	Code-Isolation	Security	TODO
FastAIScheduler	—	Async Jobs, Retries, Cron	Queueing	TODO

AI Guards

Module	Speed vs Java	Key Metrics	Tech	Status
FastAIGuard	—	Prompt-Injection-Schutz	Security	TODO
FastAIAuth	—	API-Keys, User-Permissions	Auth	TODO
FastAIPolicy	—	Declarative AI Rules / Policies	Rules	TODO

AI Dashboard

Module	Speed vs Java	Key Metrics	Tech	Status
FastAITrace	—	Token-Flow & Tool-Tracing	Debugging	TODO
FastAIEval	—	Automatische Antwort-Evaluation	Eval	TODO
FastAIMetrics	—	Performance- & Usage-Metrics	Telemetry	TODO
FastAIReplay	—	Replay von Sessions	Debugging	TODO
FastAIParser	—	Strukturierter Output-Parser	Parser	TODO
FastAIPrompt	—	Prompt-Compiler, Templates	Compiler	TODO
FastAIRegistry	—	Registry für Models, Tools, Agents	Registry	TODO
FastAIPlugin	—	Plugin-/Extension-System	Plugin	TODO
FastEventBus	—	Event-System für Tokens & Tools	Event Bus	TODO

AI Infrastructure

Module	Speed vs Java	Key Metrics	Tech	Status
FastAPI	—	REST/WebSocket/gRPC Layer	Network	TODO
FastConfig	—	Runtime-/Model-Konfiguration	Config	TODO
FastArtifact	—	Verwaltung generierter Dateien	Storage	TODO
FastStorage	—	Files, Blobs, Transcripts	IO	TODO
FastAICluster	—	Multi-GPU / Multi-Node	Orchestrator	TODO

13. Vision

Module	Speed vs Java	Key Metrics	Tech	Status
FastCamera	—	Native low-latency webcam capture	DirectShow	Alpha
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
FastTween	Zero overhead	No built-in tweening	Pool	Alpha
FastAnimation	Zero overhead	No built-in timelines — pure Java	Timeline	Alpha

15. UI

Module	Speed vs Java	Key Metrics	Tech	Status
FastTheme	❌ Java can't	Native Windows theming	WinRT, DWM	Alpha
FastTerminal	❌ Java can't	Double-buffered TUI blitting	Win32 console, JNI	Alpha
FastNotification	❌ Broken	SystemTray broken → native WinRT	WinRT, Toast	Alpha
FastUI	—	Core UI building blocks	Native	Alpha
FastProportion	—	Proportional layout engine	Core	Alpha
FastGrid	—	High-performance grid layout	Core	Alpha

16. Compute

Module	Speed vs Java	Key Metrics	Tech	Status
FastGPU	50–500×	GPU Compute, SPIR-V, Vulkan Compute, Zero-Copy Buffers	Vulkan, SPIR-V, OpenCL	Alpha

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🎯 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. Mostly pure C++ accelerators. JNI bindings. Zero overhead.

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🌌 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.

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⚡ 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.

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🚧 Current Status

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

• ✅ 33 Released — Available now on GitHub & JitPack
• 🚧 13 Coming Soon — Audio, Vision, AI, Advanced System (2026-2027)
• 🔄 37 Planned — Full 81-module pipeline
• ✅ Windows fully supported — Linux/macOS in progress

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Part of the FastJava Ecosystem — Making the JVM faster. Small package. Maximum speed. Zero bloat. 🚀📋