https://github.com/sahiljain0/webflow-assessment
This is an assessment project for the vectorShift YC company
https://github.com/sahiljain0/webflow-assessment
assessment express node python react webflow
Last synced: 2 months ago
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This is an assessment project for the vectorShift YC company
- Host: GitHub
- URL: https://github.com/sahiljain0/webflow-assessment
- Owner: Sahiljain0
- Created: 2024-10-15T17:02:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-10-15T17:59:19.000Z (over 1 year ago)
- Last Synced: 2024-10-17T01:47:54.234Z (over 1 year ago)
- Topics: assessment, express, node, python, react, webflow
- Language: JavaScript
- Homepage: https://webflow-assessment-ufcr.vercel.app/
- Size: 207 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# VectorShift Workflow
VectorShift Workflow is a project that utilizes React for the frontend and FastAPI for the backend to create and manage workflows. This project supports Directed Acyclic Graphs (DAGs) for workflow management.
## Live Demo
Check out the live demo of the VectorShift Workflow
[here](https://webflow-assessment-ufcr.vercel.app/).
## Screenshots
Here are some screenshots of the VectorShift Workflow in action:

## Features
- **React Frontend**: A modern, responsive UI built with React.
- **FastAPI Backend**: A high-performance backend built with FastAPI.
- **DAG Support**: Create and manage workflows using Directed Acyclic Graphs.
## Installation
### Prerequisites
- Node.js
- Python 3.7+
- FastAPI
### Frontend Setup
1. Navigate to the frontend directory:
```bash
cd frontend
```
2. Install dependencies:
```bash
npm install
```
3. Start the development server:
```bash
npm start
```
### Backend Setup
1. Navigate to the backend directory:
```bash
cd backend
```
2. Create a virtual environment:
```bash
python -m venv venv
```
3. Activate the virtual environment:
- On Windows:
```bash
venv\Scripts\activate
```
- On macOS/Linux:
```bash
source venv/bin/activate
```
4. Install dependencies:
```bash
pip install -r requirements.txt
```
5. Start the FastAPI server:
```bash
uvicorn main:app --reload
```
## Usage
1. Open your browser and navigate to `http://localhost:3000` to access the React frontend.
2. Use the UI to create and manage workflows.
3. The backend API is available at `http://localhost:8000`.
## Contributing
Contributions are welcome! Please fork the repository and submit a pull request.
## License
This project is licensed under the MIT License.
## Contact
For any questions or inquiries, please contact [Sahiljain0](mailto:jainsahil760@gmail.com).
*Creating a new workflow using the UI.*