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https://github.com/berkaygediz/solidsheets

📊 Real-time calculation and formula supported spreadsheet editor.
https://github.com/berkaygediz/solidsheets

cell column csv excel fast formula functions lightweight multilingual python qt row spreadsheet table table-processor table-view

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📊 Real-time calculation and formula supported spreadsheet editor.

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# SolidSheets

![Screenshot](images/banner/solidsheets_banner_3.png)

![GitHub release (latest by date)](https://img.shields.io/github/v/release/berkaygediz/solidsheets)
![GitHub repo size](https://img.shields.io/github/repo-size/berkaygediz/solidsheets)
![GitHub](https://img.shields.io/github/license/berkaygediz/solidsheets)

SolidSheets offers a user-friendly interface and powerful features to manage and analyze your data. Easily open, edit, and print CSV, SSFS/SSFS64, and XLSX files. With advanced formulas, charts, and machine learning algorithms, accelerate your workflow. Efficient and energy-friendly!

## Features

- [x] **File Operations**: Open and save CSV, SSFS/SSFS64 (SolidSheets Files) & XLSX (partial).
- [x] **Printing**: Print or export tables to PDF format.
- [x] **Editing**: Modify tables with options to delete, edit rows, and columns.
- [x] **Formula Support**: Includes functions like avg, sum, min, max, count, similargraph, pointgraph, bargraph, piegraph & histogram.
- [x] **Customizable Toolbar**: Tailor the interface to your needs.
- [x] **Performance**: Fast and lightweight with threading support.
- [x] **User Experience**: Alerts for unsaved changes and supports dark/light mode.
- [x] **Real-Time Statistics**: Displays live updates on row count, column count, and cell count.
- [x] **Multilingual**: Available in English, Turkish, German, Spanish, Azerbaijani, Chinese, Korean, Japanese, Arabic, Russian, French, Greek, Kinyarwanda & Hebrew.
- [x] **Cross-Platform**: Compatible with Windows, macOS (experimental), and Linux (experimental).
- [x] **Efficiency**: Designed for power-saving and utilizes hardware acceleration.
- [x] **Machine Learning**: Integrated machine learning algorithms for linear regression.

## Prerequisites

- Python 3.12+
- PySide6
- matplotlib
- psutil
- pandas
- openpyxl
- statsmodels
- xlrd
- pyinstaller

## Installation

1. Clone the repository:

```bash
git clone https://github.com/berkaygediz/SolidSheets.git
```

2. Install requirements:

```bash
pip install -r requirements.txt
```

3. Creating a executable file (Unsigned):

```bash
pyinstaller --noconfirm --noconsole --onedir --windowed --icon "solidsheets_icon.ico" --name "SolidSheets" --clean --optimize "2" "SolidSheets.py"
```

## Usage

Launch SolidSheets from the command line:

```bash
python SolidSheets.py
```

## Contributing

Contributions to the SolidSheets project are welcomed. Please refer to [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to contribute and our code of conduct.

## License

This project is licensed under GNU GPLv3, GNU LGPLv3, and Mozilla Public License Version 2.0.