Metadata-Version: 2.4
Name: expview
Version: 0.1.3
Summary: Experimental data manager and visualization tools
Author: Ahmad Pouramini
License: MIT
Project-URL: Homepage, https://github.com/puraminy/ExpView
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: click>=8.0
Requires-Dist: pandas>=1.3
Requires-Dist: numpy>=1.23
Requires-Dist: matplotlib>=3.7
Requires-Dist: seaborn>=0.12
Requires-Dist: tqdm>=4.65
Requires-Dist: six>=1.16
Requires-Dist: pyperclip>=1.8
Requires-Dist: pytz>=2024.1
Requires-Dist: PyPDF2>=3.0
Requires-Dist: regex>=2023.12
Requires-Dist: Pillow>=10.0
Requires-Dist: appdirs>=1.4
Requires-Dist: debugpy>=1.8
Requires-Dist: windows-curses; platform_system == "Windows"

# ExpView

**ExpView** is a terminal-based analytics and visualization tool inspired by Excel.  
Designed for developers and data scientists, it displays pandas DataFrames directly in the terminal using the **Curses** library — with fast navigation, shortcut keys, and instant refresh.

ExpView can integrate with experiment pipelines: pass variable configurations to external programs, collect CSV/TSV/JSON outputs, manage configurations, and visualize results with matplotlib to analyze parameter effects and performance trends.

## Installation

```bash
pip install expview
````

This installs ExpView and its dependencies.

## Quick Start

Go to `examples` folder, and run:

```bash
expview results.csv
```

If you have multiple datasets in a folder, just run:

```bash
expview
```

For full documentation, refer to the [GitHub homepage](https://github.com/puraminy/expview).

