A flexible CTF contest platform for coming PKU GeekGame events

Overview

Project Guiding Star: the Backend

A flexible CTF contest platform for coming PKU GeekGame events

Still in early development

Highlights

  • Not configurable is most customizable. Every contest has its unique rule, which is unlikely to be fully covered by a text file or SQL table. Our experience shows that these static configurations often disturb contest organizers when they want more customization. Instead, we trust them as decent programmers, leaving the customization to the logic in the source code that is easy to maintain and extend.
  • Pure Python Logic. The core logic that handles submissions, scoreboards, and users are written in plain old Python. Only basic Object-Oriented Programming skill is required before you can start customization. No preknowledge of heavy third-party frameworks is needed.
  • Type-checked. Every function in the codebase is type-annotated and checked by Mypy in strict mode. With type information, you can reliably auto-complete the code and check what breaks after a refactor in a capable IDE.
  • A flexible state machine. The logic splits into one reducer that updates the game state and multiple workers that power read-only APIs and pass actions to the reducer. The state synchronizes in real-time with ZeroMQ sockets. It is easy to attach different kinds of workers that handle push notifications or background jobs to the reducer.
  • Scalable performance. A bonus of the state machine architecture is that only raw submissions are in the database (so that the state can be restored after a service restart). The game state is kept in RAM, making it more performant when updating the scoreboard. The backend is also asynchronous, therefore a laggy OAuth provider will not block other requests.

Architecture

TODO

License

To be considered after the codebase is nearly complete. It may be GPL or something like that.

Currently, you should consider this project as all rights reserved.

Owner
PKU GeekGame
PKU GeekGame
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

alkaline-ml 1.3k Dec 22, 2022
scikit-learn: machine learning in Python

scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license. The project was started

neurodata 3 Dec 16, 2022
Learning --> Numpy January 2022 - winter'22

Numerical-Python Numpy NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along

Shahzaneer Ahmed 0 Mar 12, 2022
Module for statistical learning, with a particular emphasis on time-dependent modelling

Operating system Build Status Linux/Mac Windows tick tick is a Python 3 module for statistical learning, with a particular emphasis on time-dependent

X - Data Science Initiative 410 Dec 14, 2022
Simulation of early COVID-19 using SIR model and variants (SEIR ...).

COVID-19-simulation Simulation of early COVID-19 using SIR model and variants (SEIR ...). Made by the Laboratory of Sustainable Life Assessment (GYRO)

José Paulo Pereira das Dores Savioli 1 Nov 17, 2021
This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform.

Zillow-Houses This repository contains full machine learning pipeline of the Zillow Houses competition on Kaggle platform. Pipeline is consists of 10

2 Jan 09, 2022
Dieses Projekt ermöglicht es den Smartmeter der EVN (Netz Niederösterreich) über die Kundenschnittstelle auszulesen.

SmartMeterEVN Dieses Projekt ermöglicht es den Smartmeter der EVN (Netz Niederösterreich) über die Kundenschnittstelle auszulesen. Smart Meter werden

greenMike 43 Dec 04, 2022
Bayesian Modeling and Computation in Python

Bayesian Modeling and Computation in Python Open access and Code This repository contains the open access version of the text and the code examples in

Bayesian Modeling and Computation in Python 339 Jan 02, 2023
A single Python file with some tools for visualizing machine learning in the terminal.

Machine Learning Visualization Tools A single Python file with some tools for visualizing machine learning in the terminal. This demo is composed of t

Bram Wasti 35 Dec 29, 2022
Machine-care - A simple python script to take care of simple maintenance tasks

Machine care An simple python script to take care of simple maintenance tasks fo

2 Jul 10, 2022
cuML - RAPIDS Machine Learning Library

cuML - GPU Machine Learning Algorithms cuML is a suite of libraries that implement machine learning algorithms and mathematical primitives functions t

RAPIDS 3.1k Dec 28, 2022
Houseprices - Predict sales prices and practice feature engineering, RFs, and gradient boosting

House Prices - Advanced Regression Techniques Predicting House Prices with Machine Learning This project is build to enhance my knowledge about machin

1 Jan 01, 2022
A model to predict steering torque fully end-to-end

torque_model The torque model is a spiritual successor to op-smart-torque, which was a project to train a neural network to control a car's steering f

Shane Smiskol 4 Jun 03, 2022
Mortality risk prediction for COVID-19 patients using XGBoost models

Mortality risk prediction for COVID-19 patients using XGBoost models Using demographic and lab test data received from the HM Hospitales in Spain, I b

1 Jan 19, 2022
Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale.

Model Search Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers sp

AriesTriputranto 1 Dec 13, 2021
Penguins species predictor app is used to classify penguins species created using python's scikit-learn, fastapi, numpy and joblib packages.

Penguins Classification App Penguins species predictor app is used to classify penguins species using their island, sex, bill length (mm), bill depth

Siva Prakash 3 Apr 05, 2022
Tools for Optuna, MLflow and the integration of both.

HPOflow - Sphinx DOC Tools for Optuna, MLflow and the integration of both. Detailed documentation with examples can be found here: Sphinx DOC Table of

Telekom Open Source Software 17 Nov 20, 2022
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

pmdarima Pmdarima (originally pyramid-arima, for the anagram of 'py' + 'arima') is a statistical library designed to fill the void in Python's time se

alkaline-ml 1.3k Dec 22, 2022
Probabilistic time series modeling in Python

GluonTS - Probabilistic Time Series Modeling in Python GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (

Amazon Web Services - Labs 3.3k Jan 03, 2023
Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)

sklearn-compatible Random Bits Forest Scikit-learn compatible wrapper of the Random Bits Forest program written by Wang et al., 2016, available as a b

Tamas Madl 8 Jul 24, 2021