https://github.com/andrearufo/onlinecsvreader
A csv reader without upload file
https://github.com/andrearufo/onlinecsvreader
converter csv excel online reader table vue
Last synced: 8 days ago
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A csv reader without upload file
- Host: GitHub
- URL: https://github.com/andrearufo/onlinecsvreader
- Owner: andrearufo
- License: apache-2.0
- Created: 2020-11-16T22:28:08.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2024-12-22T11:04:17.000Z (about 1 year ago)
- Last Synced: 2025-01-17T20:15:51.348Z (12 months ago)
- Topics: converter, csv, excel, online, reader, table, vue
- Language: HTML
- Homepage: https://andrearufo.github.io/onlinecsvreader/
- Size: 11.7 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Online CSV Reader
A lightweight and efficient CSV reader designed for simplicity and ease of use. This utility, built with just a single HTML file and a JavaScript file, leverages Vue.js, Lodash, and PapaParse to transform your CSV files into a clean, interactive table view directly in your browser.
- **No File Uploads**: Your data stays on your device—simply load your CSV file, and it will be parsed and displayed instantly without requiring any uploads or server interaction.
- **Powerful Table Features**: Enjoy features like real-time searching and filtering, making it easy to explore and analyze your data directly within the browser.
- **100% Open Source**: The project is hosted publicly on GitHub, ensuring full transparency and easy access for anyone who wants to use, customize, or contribute.
- **No Build Tools Needed**: There's no need for compilers or complex setup. The tool works out-of-the-box by accessing the HTML page, making it perfect for quick deployments and sharing.
- **GitHub Pages Ready**: Easily host and access the utility via GitHub Pages for a seamless, always-available experience.
Whether you're a developer, data analyst, or casual user, the Online CSV Reader offers a fast, simple, and secure way to visualize and work with CSV data. Check it out and start exploring your data in seconds!