Framework web SnakeServer.

Overview

SnakeServer - Framework Web 🐍

BADGE BADGE BADGE

Documentação oficial do framework SnakeServer.

Conteúdo

Sobre

O SnakeServer é um framework web sendo desenvolvido para Python com o foco em segurança. Nele, será possível receber solicitações GET e POST, definir headers de resposta, obter parâmetros de URL, retornar páginas HTML e outros tipos de conteúdo, e muitas outras funções.

Como contribuir

Veja como você pode ajudar no SnakeServer:

Enviar relatórios de segurança

Um dos nossos princípios é a segurança, para isso, semanalmente, diversos testes são feitos na última e penúltima versão lançada, para corrigir erros que possam comprometer o servidor.

Se você tem interesse em ajudar desta forma, acesse o arquivo PENTEST.txt para melhores informações.

Pull Requests

Revise o código, encontre bugs, erros, melhorias no código e faça seu pull request!

Todas as pull request são analisadas o mais rápido possível, sendo aceita caso o que você fez seja beneficiante para o código.

Primeiros passos

Aqui daremos o primeiro passo na criação de um servidor utilizando o SnakeServer!

Hello World

Veja um simples hello world utilizando nosso framework:

from snake import Snake

# Função que retorna um Hello World
def hello():
    return 'Hello World powered by SnakeServer!'

# Instanciando a classe Snake e definindo Host e Port
server = Snake(host='127.0.0.1', port=5500)

# Registrando rota e iniciando servidor
server.add_new_route(name='/', method='POST', target=hello)
server.start()

Para entender e aprender mais sobre o SnakeServer, acesse a documentação oficial.

Licença

MIT © 2021 Jaedson Silva

Owner
Jaedson Silva
Python developer in web area.
Jaedson Silva
PyTorch ,ONNX and TensorRT implementation of YOLOv4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

4.2k Jan 01, 2023
Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model in Tensorflow Lite.

TFLite-msg_chn_wacv20-depth-completion Python script for performing depth completion from sparse depth and rgb images using the msg_chn_wacv20. model

Ibai Gorordo 2 Oct 04, 2021
Deep learning model for EEG artifact removal

DeepSeparator Introduction Electroencephalogram (EEG) recordings are often contaminated with artifacts. Various methods have been developed to elimina

23 Dec 21, 2022
Evaluation framework for testing segmentation networks in PyTorch

Evaluation framework for testing segmentation networks in PyTorch. What segmentation network to choose for next Kaggle competition? This benchmark knows the answer!

Eugene Khvedchenya 37 Apr 27, 2022
Time Series Cross-Validation -- an extension for scikit-learn

TSCV: Time Series Cross-Validation This repository is a scikit-learn extension for time series cross-validation. It introduces gaps between the traini

Wenjie Zheng 222 Jan 01, 2023
Shōgun

The SHOGUN machine learning toolbox Unified and efficient Machine Learning since 1999. Latest release: Cite Shogun: Develop branch build status: Donat

Shōgun ML 2.9k Jan 04, 2023
A knowledge base construction engine for richly formatted data

Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is

HazyResearch 386 Dec 05, 2022
Official Implementation of VAT

Semantic correspondence Few-shot segmentation Cost Aggregation Is All You Need for Few-Shot Segmentation For more information, check out project [Proj

Hamacojr 114 Dec 27, 2022
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting Recent progress in neural forecasting instigated significant improvements in the

Cristian Challu 82 Jan 04, 2023
AWS provides a Python SDK, "Boto3" ,which can be used to access the AWS-account from the local.

Boto3 - The AWS SDK for Python Boto3 is the Amazon Web Services (AWS) Software Development Kit (SDK) for Python, which allows Python developers to wri

Shreyas Srivastava 1 Oct 25, 2021
This repository contains the code for "SBEVNet: End-to-End Deep Stereo Layout Estimation" paper by Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider

SBEVNet: End-to-End Deep Stereo Layout Estimation This repository contains the code for "SBEVNet: End-to-End Deep Stereo Layout Estimation" paper by D

Divam Gupta 19 Dec 17, 2022
Deep metric learning methods implemented in Chainer

Deep Metric Learning Implementation of several methods for deep metric learning in Chainer v4.2.0. Proxy-NCA: No Fuss Distance Metric Learning using P

ronekko 156 Nov 28, 2022
Spatial Contrastive Learning for Few-Shot Classification (SCL)

This repo contains the official implementation of Spatial Contrastive Learning for Few-Shot Classification (SCL), which presents of a novel contrastive learning method applied to few-shot image class

Yassine 34 Dec 25, 2022
Differentiable Wavetable Synthesis

Differentiable Wavetable Synthesis

4 Feb 11, 2022
CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning

CRLT: A Unified Contrastive Learning Toolkit for Unsupervised Text Representation Learning This repository contains the code and relevant instructions

XiaoMing 5 Aug 19, 2022
An implementation of RetinaNet in PyTorch.

RetinaNet An implementation of RetinaNet in PyTorch. Installation Training COCO 2017 Pascal VOC Custom Dataset Evaluation Todo Credits Installation In

Conner Vercellino 297 Jan 04, 2023
Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet.

Pretrained models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet.

Matthias Wright 169 Dec 26, 2022
It is modified Tensorflow 2.x version of Mask R-CNN

[TF 2.X] Mask R-CNN for Object Detection and Segmentation [Notice] : The original mask-rcnn uses the tensorflow 1.X version. I modified it for tensorf

Milner 34 Nov 09, 2022
FaceAnon - Anonymize people in images and videos using yolov5-crowdhuman

Face Anonymizer Blur faces from image and video files in /input/ folder. Require

22 Nov 03, 2022