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Streamlit Launcher is an advanced no-code platform that integrates Streamlit, deep learning, and machine learning into one unified environment. It allows users to train models, visualize data, and perform complete statistical and analytical tasks effortlessly without writing any code.

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Streamlit Launcher For VS Code (Date Skunder) - Realease 2.4.5

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Streamlit Launcher For VS Code (also known as Date Skunder) is a powerful extension designed to provide automated previews and interactive data analysis for CSV and Excel files directly within Visual Studio Code. Visualize data with charts, add notes, and export reports seamlessly to PDF.

✨ Features

  • Automated File Previews: Instantly open and preview tabular data without leaving your editor.

  • Multi-Format Support: Works seamlessly with CSV, TSV, XLSX, XLS, and XLSM files.

  • Interactive Data Analysis: Explore your datasets with built-in analytical tools.

  • Chart Generation: Create visual representations of your data with integrated Chart.js support.

  • Notes & Annotations: Keep track of insights, observations, and notes alongside your data.

  • PDF Export: Export your analysis, notes, and charts into a clean PDF document.

🚀 Supported File Types

  • CSV (*.csv)

  • TSV (*.tsv)

  • Excel Workbooks (*.xlsx, *.xls, *.xlsm)

🛠️️ Usage

1. Opening a File

  • Explorer Context Menu: Right-click any supported file (.csv, .xlsx, etc.) in the VS Code File Explorer and select "Date Skunder: Open Preview & Analysis".

  • Default Editor: Clicking normally on a supported file may open it with the custom editor viewer automatically.

2. Analysis & Exporting

Once the viewer is open, you can:

  • View interactive data summaries and grids.

  • Generate and customize charts based on your columns.

  • Write and save notes.

  • Export everything directly to a PDF report.

📄 License

This project is licensed under the MIT License.

🔥 What's New

1. Added support for XLSX, XLS, and XLSM files

  • Now you can open and analyze Excel files directly within the viewer

2. Added support for TSV files

  • Now you can open and analyze tsv files directly within the viewer

Developers

About

Streamlit Launcher is an advanced no-code platform that integrates Streamlit, deep learning, and machine learning into one unified environment. It allows users to train models, visualize data, and perform complete statistical and analytical tasks effortlessly without writing any code.

Topics

Resources

Stars

3 stars

Watchers

3 watching

Forks

Releases

Packages

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