Skip to content

Satyabrat2005/Satan

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

129 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Satan Programming Language

Satan is a modern programming language designed specifically for blazing-fast Data Science and Machine Learning.
Crafted in C++ for performance, yet offering the elegance and clarity of Python, Satan empowers you to build intelligent systems at scale.


Why Satan?

  • Built on C++20 for maximum speed and zero-overhead abstractions.
  • Designed for ML/AI from the ground up: training loops, tensor math, and GPU support.
  • Pythonic syntax: easy to write, read, and debug.
  • Statistical programming built-in: like R, but faster.
  • Parallel, GPU, and async support baked into the language.

🧠 Philosophy

Satan is built with these core principles:

  • 🧩 Modularity over complexity
  • ⚔️ Performance without sacrificing clarity
  • 🎯 AI-first: everything ML-ready out of the box
  • 🧬 Extensibility via modules (like python packages, but compiled and optimized)

🧪 Example Code

let data = read_csv("iris.csv")

let model = Sequential(
Dense(64, activation="relu"),
Dense(3, activation="softmax")
)

model.train(data.X, data.y, epochs=100)

if model.accuracy > 0.9 {
print("Model trained successfully! 🚀")
}

Looks like Python. Performs like C++.

📚 Core Libraries

📁 satan.data → DataFrames, CSV, JSON, transformation pipelines

🧠 satan.nn → Deep learning API with layers, optimizers, and training loops

📈 satan.stats → Statistical tests, regression, probability distributions

📊 satan.plot → Built-in plotting with simple commands

⚙️ satan.gpu → Easy GPU acceleration (CUDA, OpenCL)

⏱ satan.async → Async loops, promises, and parallel threads

🧱 Tech Stack

LayerStack

Language CoreC++20 + Flex/Bison + LLVM (future)

Backend IRAST + Satan Bytecode (SVM planned)

ML EngineBuilt on libtorch + Eigen + custom ops

PlottingPowered by Vega-lite + SatanPlot

Data I/OCSV/JSON Parsers, Columnar Engine

GPU LayerCUDA, OpenCL

🔮 Features (In Progress)

📝 SatanScript: transpile to Python/JS/WASM

🧪 SatanBook: interactive notebook like Jupyter

⚡ SatanCloud: deploy Satan models to edge/devices/cloud

🧠 Neural module compiler (NMC) for real-time deployment

🌐 satanpkg: official Satan package manager

📦 Installation (Coming Soon)

Cross-platform compiler & toolchain:

🐧 Linux (Deb, AppImage)

🪟 Windows (MSVC/MinGW)

🍎 MacOS (brew)

Satan tools:

satanc (CLI compiler)

satanpkg (package manager)

satan-repl (interactive shell)

Satan aims to outperform Python by 6–8× in compute-intensive workflows.

📣 Testimonials (Future Manifest 😎)

“Satan makes Python look like a scripting toy.”
— HackerNews (Probably)

“Trained my model 10x faster using Satan. This language slaps.”
— A Grateful ML Researcher

“If C++ and Python had a GPU-powered baby, it would be Satan.”
— You, after trying it

🌍 Roadmap

Release satanc compiler

Launch satanpkg registry and CLI

VSCode extension for Satan

SatanPlot + SatanGPU release

Official docs and API reference

Launch community tutorials & SatanBook

Real-time deployment to Raspberry Pi & Jetson

🛠️ Contributing

We welcome contributors in:

Compiler design / bytecode VM

Flex/Bison parser optimization

ML/Stats library development

Performance testing & GPU backend

Building satanpkg registry

To contribute:

Fork & clone this repo

Build with make or cmake

Submit PRs via GitHub

See CONTRIBUTING.md (coming soon)

🔗 Ecosystem Repositories

Repo Description
satan-core Parser, lexer, interpreter backend
satan-stdlib Data, ML, Stats, GPU libraries
satan-docs Official documentation
satan-examples Snippets and beginner projects
satan-book Interactive REPL / notebook engine
satanpkg-registry Community module hosting

🧠 Built By

Crafted with ❤️ by

Satyabrat Sahu 🚀 AI Engineer

💬 Join the Cult LinkedIn: Satyabrat Sahu

Made for rebels. Built for performance. Named for power. Welcome to the dark side of programming. 🧠⚔️

About

Satan is a cutting-edge language delivering Pythonic ease and C++ speed for ML and data science at scale.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages