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A Lightweight Python library for creating customizable ASCII-based progress bars in terminal applications.

Project description

Ascibar

Ascibar is a lightweight Python library designed for creating customizable ASCII-based progress bars in terminal applications. It offers an easy way to enhance your command-line interface with visually appealing and informative progress indicators.

Version

Current version: 0.1

Installation

You can install ascibar via pip. Run the following command in your terminal:

pip install ascibar

Usage

A basic example of how to use ascibar:

from ascibar import CustomProgressBar
import time

total = 100

# Define your custom styles
custom_loader_style = ['⠋', '⠙', '⠹', '⠸', '⠼', '⠴', '⠦', '⠧', '⠇', '⠏']
custom_bar_style = '█'

# Enable components
enable_components = {
    "loader": True,
    "bar": True,
    "percentage": True,
    "finished_tasks": True,
}

# Create the progress bar with custom settings
progress = CustomProgressBar(
    total,
    loading_text="Processing...",
    done_text="Task completed!",
    loader_style=custom_loader_style,
    bar_style=custom_bar_style,
    enable_components=enable_components
)

# Run the progress bar
for i in range(total + 1):
    progress.print_progress_bar(i)
    time.sleep(0.1)

Parameters

  • total: The total number of iterations (e.g., 100).
  • loading_text: Text to display while loading (default: "Loading...").
  • done_text: Text to display when done (default: "Done!").
  • loader_style: List of characters for the loader animation (default: ['-', '\\', '|', '/']).
  • bar_style: Character to use for the progress bar (default: '#').
  • enable_components: Dictionary to enable/disable components:
    • "loader": Show loader animation (default: True).
    • "bar": Show progress bar (default: True).
    • "percentage": Show percentage complete (default: False).
    • "finished_tasks": Show finished tasks count (default: False).

License

This project is licensed under the GNU License. See the LICENSE file for details.

Contributing

Contributions are welcome! If you have suggestions, bug reports, or pull requests, please submit them via GitHub issues or pull requests.

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