@@ @@
@@ β THIS REPOSITORY IS NO LONGER ACCEPTING CONTRIBUTIONS β @@
@@ @@
@@ π CONGRATULATIONS TO 60+ CONTRIBUTORS WHO WERE SUCCESSFULLY @@
@@ VERIFIED AND MERGED DURING HACKTOBERFEST 2025! π @@
@@ @@
@@ β οΈ PLEASE DO NOT: @@
@@ β’ Fork this repository for Hacktoberfest @@
@@ β’ Create new pull requests @@
@@ β’ Request issue assignments @@
@@ @@
@@ β¨ All new PRs and issues will be closed automatically @@
@@ @@
@@ π Please explore other amazing Hacktoberfest repositories! @@
@@ Visit: https://github.com/topics/hacktoberfest @@
@@ @@
@@ Thank you for your understanding and happy open source! π @@
@@ @@
This repository successfully completed Hacktoberfest 2025 with 60+ verified and merged contributions! We are incredibly grateful to all the developers who participated and made this project better.
- β 60+ successful contributions
- β Merged pull requests from talented developers worldwide
- β Hacktoberfest 2025 participation completed
Note: This repository is now archived for new Hacktoberfest contributions. The code remains available for learning and reference purposes.
This is a modern, full-stack web application that demonstrates best practices in:
- Frontend: React/Next.js with TypeScript
- Backend: Node.js/Express with TypeScript
- Database: MongoDB/PostgreSQL
- Styling: Tailwind CSS
- Testing: Jest, Cypress
- DevOps: Docker, GitHub Actions
This repository successfully participated in Hacktoberfest 2025 and is now closed for new contributions.
π« This repository is NO LONGER accepting:
- New pull requests
- Issue assignments
- Fork requests for Hacktoberfest contributions
β What happened:
- 60+ contributors successfully had their PRs verified and merged
- Amazing contributions from developers worldwide
- Hacktoberfest goals achieved!
π Looking to contribute? Please explore other active Hacktoberfest repositories:
- Visit: github.com/topics/hacktoberfest
- Find repositories with the
hacktoberfesttopic actively accepting contributions
During Hacktoberfest 2025, contributors received Holopin digital badges:
- π₯ First Contribution Badge - For first merged PRs
- π Quality Contributor Badge - For exceptional contributions
- π Project Supporter Badge - For ongoing support
- Node.js (v18 or higher)
- npm or yarn
- Git
# Clone the repository
git clone https://github.com/hari7261/Hacktoberfest-2025.git
# Navigate to the project directory
cd Hacktoberfest-2025
# Install dependencies
npm install
# Start the development server
npm run devVisit http://localhost:3000 to see the application running.
Hacktoberfest-2025/
βββ frontend/ # React/Next.js frontend
β βββ components/ # Reusable UI components
β βββ pages/ # Application pages
β βββ styles/ # CSS and styling files
β βββ utils/ # Utility functions
βββ backend/ # Node.js/Express backend
β βββ controllers/ # Request handlers
β βββ models/ # Data models
β βββ routes/ # API routes
β βββ middleware/ # Custom middleware
βββ docs/ # Documentation
βββ tests/ # Test files
βββ .github/ # GitHub workflows and templates
βββ docker/ # Docker configuration
We are no longer accepting:
- New pull requests
- Issue assignments
- Feature requests
We successfully completed Hacktoberfest 2025 with 60+ amazing contributors! Thank you to everyone who participated.
Please explore other active repositories:
| Command | Description |
|---|---|
npm run dev |
Start development server |
npm run build |
Build for production |
npm run test |
Run tests |
npm run lint |
Lint code |
npm run format |
Format code with Prettier |
npm run type-check |
Check TypeScript types |
We use multiple testing frameworks:
# Run all tests
npm run test
# Run frontend tests
npm run test:frontend
# Run backend tests
npm run test:backend
# Run e2e tests
npm run test:e2e
# Generate coverage report
npm run test:coverageA new script python/data_visualization_examples.py showcases multiple common chart types using Matplotlib & Seaborn (line, bar, histogram/KDE, scatter with regression, box + violin, heatmap, pair plot, donut/pie). It autoβgenerates a synthetic dataset so you can explore quickly.
Quick start:
pip install -r python/requirements-data-viz.txt
python -m python.data_visualization_examples --all --no-showGenerate only selected plots and change style/output:
python -m python.data_visualization_examples --plots line scatter heatmap --style darkgrid --out viz_results --dpi 150Outputs are saved (default: viz_outputs/). Use --help for all options. Contributions adding real dataset examples (e.g., CSV loading) are welcomeβopen an issue first to discuss!
- π¬ Discussions
- π Issues
Thanks to all our amazing contributors! π
This project is licensed under the MIT License - see the LICENSE file for details.
If you found this project helpful or educational, please consider:
- β Starring this repository
- π’ Sharing it with your network
- π Learning from the code and contributions
Note: Please do not fork this repository for Hacktoberfest contributions as we are no longer accepting new submissions.
To all 60+ contributors who made Hacktoberfest 2025 a success!
Your contributions, dedication, and enthusiasm made this project amazing.
Happy Coding! π
Made with β€οΈ for Hacktoberfest 2025
Repository Status: π΄ Closed for New Contributions