🌟 EchoNext: The Future of Web 🚀

<div align="center"> EchoNext is a lightweight, fast and scalable web framework for Python <a href="https://alexeev-prog.github.io/pyEchoNext/">Explore the docs »</a> <a href="#-why-choose-pyechonext">Why Choose pyEchoNext</a> · <a href="#-key-features">Key Features</a> · <a href="#-getting-started">Getting Started</a> · <a href="#-usage-examples">Basic Usage</a> · <a href="#-specifications">Specification</a> · <a href="https://alexeev-prog.github.io/pyEchoNext/">Documentation</a> · <a href="https://github.com/alexeev-prog/pyEchoNext/blob/main/LICENSE">License</a> </div> <img src="https://img.shields.io/github/languages/top/alexeev-prog/pyEchoNext?style=for-the-badge"> <img src="https://img.shields.io/github/languages/count/alexeev-prog/pyEchoNext?style=for-the-badge"> <img src="https://img.shields.io/github/license/alexeev-prog/pyEchoNext?style=for-the-badge"> <img src="https://img.shields.io/github/stars/alexeev-prog/pyEchoNext?style=for-the-badge"> <img src="https://img.shields.io/github/issues/alexeev-prog/pyEchoNext?style=for-the-badge"> <img src="https://img.shields.io/github/last-commit/alexeev-prog/pyEchoNext?style=for-the-badge"> <img src="https://img.shields.io/pypi/wheel/pyechonext?style=for-the-badge"> <img src="https://img.shields.io/badge/coverage-73%25-73%25?style=for-the-badge" alt="Coverage"> <img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/pyEchoNext?style=for-the-badge"> <img alt="PyPI - Version" src="https://img.shields.io/pypi/v/pyEchoNext?style=for-the-badge"> <img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/pyEchoNext?style=for-the-badge"> <img alt="GitHub contributors" src="https://img.shields.io/github/contributors/alexeev-prog/pyEchoNext?style=for-the-badge"> <img src="https://raw.githubusercontent.com/alexeev-prog/pyEchoNext/refs/heads/main/docs/pallet-0.png">

PyEchoNext is a lightweight, high-performance web framework designed for building scalable Python web applications and APIs. With its modular architecture and focus on developer productivity, it combines Flask-like simplicity with FastAPI-inspired performance features. Built for modern web development challenges.

[!NOTE] Python 3.12+

[!CAUTION] PyEchoNext is currently in active alpha development. While core functionality is stable, some advanced features are still evolving. Production use requires thorough testing.

[!NOTE] Versions below 0.7.14a are not recommended for use with gunicorn <23.0 due to the fact that they used an older version of gunicorn (<23.0), which was vulnerable.

Next big update: 0.8.0 - Hybrid Performance Core: async + multithread + multiprocess

You want see hybrid core before release? See DevGuide Specs for HybridCore.

Check Other My Projects

SQLSymphony - simple and fast ORM in sqlite (and you can add other DBMS)
Burn-Build - simple and fast build system written in python for C/C++ and other projects. With multiprocessing, project creation and caches!
OptiArch - shell script for fast optimization of Arch Linux
libnumerixpp - a Powerful C++ Library for High-Performance Numerical Computing
pycolor-palette - display beautiful log messages, logging, debugging.
shegang - powerful command interpreter (shell) for linux written in C

🤔 Why Choose pyEchoNext?

🔥 Featherweight Performance: No bloat, just speed! Our framework is designed to optimize performance, making it a breeze to create and scale your applications without the overhead.
💼 Unmatched Scalability: Handle thousands of connections effortlessly! Echonext is built for performance in high-demand environments, making it the perfect choice for startups or enterprise applications.
🔧 Customizable Architecture: Tailor your framework to suit your unique needs. Whether it’s middleware, routing, or authentication, make it yours with minimal effort!
🌍 Cross-Platform Compatibility: Echonext works beautifully on any OS. Whether you’re developing on Windows, macOS, or Linux, you’re covered!
💡 User-Friendly Design: Our intuitive API and comprehensive documentation make it easy for beginners and pros alike. Dive in and start coding right away!
📦 Plug-and-Play Components: Easily integrate with third-party libraries to enhance your application. Don’t reinvent the wheel—leverage existing solutions!
🔒 Built-in Authentication: Simplify your user authentication process with our built-in, easy-to-implement features.
📊 Automatic API Documentation: Create RESTful endpoints that are not just powerful but also well-documented, saving you time and effort.

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📚 Key Features

Intuitive API: Pythonic, object-oriented interface for interacting with routes and views.
Performance Optimization: Lazy loading, eager loading, and other techniques for efficient web queries.
Comprehensive Documentation: Detailed usage examples and API reference to help you get started.
Modular Design: Clean, maintainable codebase that follows best software engineering practices.
Extensive Test Coverage: Robust test suite to ensure the library's reliability and stability.

graph TD
    A[Router] --> B[Middleware]
    B --> C[Controllers]
    C --> D[Models]
    C --> E[Views]
    D --> F[Data]
    E --> G[Templates]
    A --> H[Static Files]

Intelligent Routing System

Trie-based URL dispatch - O(m) lookup complexity
Dynamic path parameters - Type-annotated parameter handling
Nested routers - Modular application organization

# Hierarchical routing example
main_router = Router()
admin_router = Router(prefix="/admin")

@admin_router.route_page("/dashboard")
def admin_dashboard(request, response):
    return render_template("admin.html")

main_router.include_router(admin_router)

Security Framework

Multi-layer protection:
- CSRF tokens with session binding
- XSS double-escaping (content + attributes)
- SQL injection pattern filtering
- Rate limiting (sliding window algorithm)
Cryptographic modules:
- PSPCAlgorithm for lightweight encryption
- SHA3/BLAKE3 hashing support
- Salted password handling

# Security implementation example
token = Security.generate_csrf_token(session_id)
filtered_query = Security.filter_sql_query("SELECT * FROM users; DROP TABLE users")

⚡ Performance Optimization

Multi-layer caching:
- LRU in-memory cache
- Performance-optimized memoization
- Static file preloading
JIT-friendly design:
- Numba-compatible critical paths
- Zero-copy request processing
- Async-ready architecture (in development)

# Performance-cached view
@performance_cached(perf_cache)
def compute_intensive_view():
    return calculate_fibonacci(1000)

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⚙️ Functionality

i18n/l10n localization with hermes-langlib.
basic project documentation generator
request/response
middlewares (with basic session cookie middleware)
views and routes
settings and config loader
built-in template engine and Jinja2
basic security and hashing
static files management
cache response bodies
performance
slugger
permissions
pyEchoNext Schemas (pyechonext.schemas) and pydantic support for validating schemas

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🚀 Getting Started

pyEchoNext is available on PyPI. Simply install the package into your project environment with PIP:

pip install pyechonext

Once installed, you can start using the library in your Python projects. Check out the documentation for detailed usage examples and API reference.

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⚙️ Dependency Injection

pyEchoNext is universal, and you are free to use any Dependency-Injection framework. But we recommend using the specially developed echonextdi. It is simple and fast to use.

Install:

pip install echonextdi

Example code:

from echonextdi.containers.container import Container
from echonextdi.depends import Depends
from echonextdi.providers.callable_provider import CallableProvider


def sqrt(a: int, b: int = 2):
    return a**b


class SQRT_Dependency:
    def __init__(self, sqrt):
        self.sqrt = sqrt


container = Container()
container.register("sqrt", CallableProvider(sqrt))


def calculate(number: int, depend: Depends = Depends(container, SQRT_Dependency)):
    print(f"{number} ^2 = {depend().sqrt(2)}")


calculate(4) # Output: 16

💻 Usage Examples

You can view examples at examples directory.

Prefix Tree (Trie)

Prefix Tree data structure (this structure also used in pyechonext routing system)

from pyechonext.utils.trie import  PrefixTree

if __name__ == '__main__':
    trie = PrefixTree()
    trie.insert('apple')
    trie.insert('app')
    trie.insert('aposematic')
    trie.insert('appreciate')
    trie.insert('book')
    trie.insert('bad')
    trie.insert('bear')
    trie.insert('bat')
    print(trie.starts_with(

PyEchoNext

Install / Use

README

🌟 EchoNext: The Future of Web 🚀

Check Other My Projects

🤔 Why Choose pyEchoNext?

📚 Key Features

Intelligent Routing System

Security Framework

⚡ Performance Optimization

⚙️ Functionality

🚀 Getting Started

⚙️ Dependency Injection

💻 Usage Examples

Prefix Tree (Trie)