https://github.com/przbadu/databodh
Master Your Data: Seamlessly Convert, Explore, and Transform File Formats with Ease!
https://github.com/przbadu/databodh
Last synced: 3 months ago
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Master Your Data: Seamlessly Convert, Explore, and Transform File Formats with Ease!
- Host: GitHub
- URL: https://github.com/przbadu/databodh
- Owner: przbadu
- Created: 2024-09-25T07:53:59.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-01-03T20:45:39.000Z (5 months ago)
- Last Synced: 2025-01-25T04:51:24.709Z (4 months ago)
- Language: TypeScript
- Homepage:
- Size: 441 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
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README
# DataBodh
Master Your Data: Seamlessly Convert, Explore, and Transform File Formats with Ease!
## Features
1. File Upload
• Users can upload JSON, NDJSON, and CSV files to the app.
• Uploaded files are parsed, and the data is displayed in a structured, searchable table format.
2. Data Exploration
• Once the data is loaded, users can explore it within a list view.
• The app supports searching across all columns and filtering data based on user input.
3. Search and Pagination
• Users can search for specific entries across all columns, enabling fast data exploration.
• Pagination is applied to manage large datasets and improve performance, allowing users to navigate through their data.
4. Customizable Table View
• Users can choose which columns to show or hide based on their preferences.
• This feature enables users to focus on relevant data without clutter.
## Future Features (Planned Extensions)
The app has been designed with future expansion in mind. Here are some additional features that will be implemented in future updates:
1. File Conversion:
- Allow users to convert data between different file formats (e.g., JSON to CSV, CSV to NDJSON).
2. AI-Powered Data Insights:
- Incorporate AI-based features for enhanced data exploration, providing insights and recommendations based on data patterns.
3. Support for More Data Types:
- Add support for additional data formats (e.g., XML, Excel) to broaden compatibility.
4. URL-Based Data Loading:
- Allow users to load data directly from a URL, expanding the app’s flexibility for remote datasets.
## Getting Started
### Prerequisites
- Node.js and npm installed on your local machine.
### Installation
1. Clone the repository:
```sh
git clone https://github.com/przbadu/databodh.git
cd databodh
```
2. Install dependencies:
```sh
npm install
```
3. Run the app in development mode:
```sh
npm run dev
```
4. Open http://localhost:3000 in your browser to view the app.
Building for Production
To create an optimized production build, run:
```sh
npm run build
```
### Project Structure
- src/app/page.tsx: The main component that handles data upload, parsing, and rendering.
- components/ui: Contains UI components like table, dropdown menu, card, input, button, etc., used to build the interactive interface.
### Usage
1. Upload a File: Drag and drop a file or use the file upload button.
2. Explore Data: View the uploaded data in a table format.
3. Search and Filter: Use the search input to filter data entries based on keyword matches.
4. Show/Hide Columns: Use the column visibility options to customize the table view.
5. Navigate Through Pages: Use pagination controls to view additional data pages.
### Contributing
Contributions are welcome! Please fork the repository and submit a pull request with any improvements or bug fixes.