HeapFlow is a powerful and efficient data processing tool designed to manage and analyze large datasets seamlessly. It leverages advanced algorithms to optimize performance, making it ideal for data scientists, engineers, and developers working with extensive information pipelines.
- High Performance: Optimized algorithms for handling large-scale data efficiently.
- Scalability: Supports both small and large datasets with ease.
- User-Friendly Interface: Intuitive UI for seamless interaction and analysis.
- Real-Time Processing: Processes data in real-time with minimal latency.
- Cross-Platform Compatibility: Works on Windows, macOS, and Linux.
To install HeapFlow, follow these steps:
- Node.js (v16 or higher)
- MongoDB (if using database storage)
- Docker (optional for containerized deployment)
- Clone the repository:
git clone https://github.com/adityakashyap5047/heapflow.git cd heapflow - Install dependencies:
npm install
- Set up environment variables:
Create a
.envfile in the root directory and add the necessary configuration:DATABASE_URL=mongodb://localhost:27017/heapflow PORT=3000
- Start the application:
npm start
- Run
npm startto launch the application. - Access the HeapFlow dashboard at
http://localhost:3000. - Upload datasets, process queries, and visualize results.
HeapFlow provides a REST API for data interactions:
| Method | Endpoint | Description |
|---|---|---|
| GET | /api/data |
Fetch all stored data |
| POST | /api/data |
Upload new data |
| DELETE | /api/data/:id |
Delete specific entry |
We welcome contributions! Follow these steps to contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature-name. - Commit your changes:
git commit -m "Add feature". - Push to the branch:
git push origin feature-name. - Open a Pull Request.
HeapFlow is licensed under the MIT License. See LICENSE for more details.
For any queries, feel free to reach out at adityakashypa5047@gmail.com or open an issue on GitHub.
Happy Coding! 🚀