semvec/pypi-packages huggingface dataset:
pybacting 0.2.15
A python wrapper around Bacting
License: MIT
Requires Python: >=3.8
Keywords: Bacting, Bioclipse, CDK, cheminformatics, chemistry

# pybacting

[![Tests](https://github.com/BlueObelisk/pybacting/actions/workflows/tests.yml/badge.svg)](https://github.com/BlueObelisk/pybacting/actions/workflows/tests.yml)
[![PyPI](https://img.shields.io/pypi/v/pybacting)](https://pypi.org/project/pybacting/)
![PyPI - License](https://img.shields.io/pypi/l/pybacting)
![PyPI - Python Version](https://img.shields.io/pypi/pyversions/pybacting)
[![Documentation Status](https://readthedocs.org/projects/pybacting/badge/?version=latest)](https://pybacting.readthedocs.io/en/latest/?badge=latest)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![DOI](https://zenodo.org/badge/390711946.svg)](https://zenodo.org/badge/latestdoi/390711946)

Python wrapper around [Bacting](https://github.com/egonw/bacting).

## Usage

Based on the example from the Bacting page, you can do:

```python
from pybacting import cdk

print(cdk.fromSMILES("COC"))
```

Or you can use some of the more pythonic functions that wrap the functions
exposed through the `pybacting.cdk` object:

```python
import pybacting

print(pybacting.from_smiles("COC"))
```

## Installation

Before installing, you'll need to make sure Maven (`mvn`) and Java 17 are available on your
path. If you're on mac, use `brew install maven`.

```shell
$ pip install pybacting
```

Install the latest code from GitHub:

```shell
$ pip install git+https://github.com/BlueObelisk/pybacting
```

Download and install from source in development mode:

```shell
$ git clone https://github.com/BlueObelisk/pybacting
$ cd pybacting
$ pip install --editable .
```
knowme 1.0.5
A fast, offline command-line tool that displays detailed system info with text-based ASCII art logos. Silent installation with progress bar!
License: MIT
Requires Python: >=3.7
Keywords: system, info, neofetch, cli, terminal, ascii, mobile, termux, android, silent

# KnowMe

A fast, offline command-line tool that displays detailed system information with a classic, neofetch-style ASCII logo.

## Features

- 🚀 **Fast & Offline**: No internet connection required
- 🎨 **Beautiful ASCII Art**: OS-specific logos and colorful output
- 📊 **Comprehensive Info**: CPU, Memory, Storage, Network, and more
- 🔧 **Cross-Platform**: Works on Linux, macOS, and Windows
- 💻 **Lightweight**: Minimal dependencies and resource usage

## Installation

### From PyPI (Recommended)

```bash
pip install knowme
```

### From Source

```bash
git clone https://github.com/mehtahrishi/knowme.git
cd knowme
pip install .
```

### Development Installation

```bash
git clone https://github.com/mehtahrishi/knowme.git
cd knowme
pip install -e .
```

## Usage

Simply run the command:

```bash
knowme
```

This will display your system information in a beautiful two-column layout with an ASCII logo.

## System Information Displayed

- **Operating System**: Name, version, and architecture
- **Kernel**: Kernel version and release info
- **CPU**: Model, cores, threads, and current frequency
- **Memory**: Total, used, and available RAM
- **Storage**: Disk usage for all mounted drives
- **Network**: Active interfaces and IP addresses
- **GPU**: Graphics card information (if available)
- **Display**: Screen resolution and refresh rate
- **Uptime**: System uptime
- **Shell**: Current shell and version
- **Terminal**: Terminal emulator information

## Requirements

- Python 3.7 or higher
- Works on Linux, macOS, and Windows

## Dependencies

- `psutil` - System and process utilities
- `distro` - Linux distribution information
- `py-cpuinfo` - CPU information
- `requests` - HTTP library
- `gputil` - GPU utilities
- `screeninfo` - Display information
- `ifaddr` - Network interface addresses

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## Acknowledgments

Inspired by neofetch and other system information tools.