This repository provides a curated list of data science challenges and competitions, featuring countdown timers for entry deadlines. It aims to be a central resource for data scientists and researchers looking to participate in or stay updated on competitive data science events.

How It Works

The project dynamically generates a website from YAML data files containing challenge details. It leverages Flask, a Python microframework, to serve the website, which includes timezone-aware countdown timers for entry deadlines. The data is structured with first-class tags like "Platform" and "Academia," and second-class tags for domains such as "Data Mining," "Computer Vision," and "Natural Language Processing."

Quick Start & Requirements

• Install: pipenv install --dev
• Run: export FLASK_APP=run.py && python run.py
• Prerequisites: Python, Pipenv.
• Additional Info: The project is a dynamic conversion of a static site, with contributions welcomed via pull requests to update YAML files.

Highlighted Details

• Countdown timers support local time and time zones.
• Challenges are categorized by platform (online communities, academic) and domain (Data Mining, CV, NLP, etc.).
• Includes prize information and links to competition host sites.
• Data is managed in ./_data/_*.yaml files.

Maintenance & Community

The project was archived in 2019 but has been revived. Contributions are encouraged via pull requests. A WeChat group is available for community interaction.

Licensing & Compatibility

MIT License. This license is permissive and generally compatible with commercial and closed-source use.

Limitations & Caveats

The project was archived in 2019, and while revived, the current status of active maintenance and data freshness may require verification. Some features like subscription/notification and auto-updating are listed as to-do items.