semvec/pypi-packages huggingface dataset:
Pulkit-Model-Evaluation 1.0.0
A Python 3.10 compatible CLI tool for TOPSIS method
Requires Python: >=3.10

# TOPSIS-YourName-1025

**Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)**

This Python package implements the TOPSIS method for Multi-Criteria Decision Making (MCDM). It takes a dataset of various options (models, products, etc.) with multiple criteria (features), accepts weights and impacts for each criterion, and ranks the options from best to worst.

This is particularly useful for ranking pre-trained models, selecting best-fit hardware, or any scenario where you need to choose the "best" option based on conflicting metrics (e.g., High Accuracy vs. Low Latency).

## Installation

You can install this package via pip:

## Installation
`pip install Pulkit_Model_Evaluation`

## Usage
`topsis <InputDataFile> <Weights> <Impacts> <ResultFileName>`

## Example
`topsis data.csv "0.25,0.25,0.25,0.25" "+,+,-,-" result.csv`
delineate 1.0.0
Backup and export data from Linear.
Requires Python: >=3.13

delineate
=========
|Docs|_  |PyPI|_ |Git|_

.. |Docs| image:: https://readthedocs.org/projects/delineate/badge/?version=latest
.. _Docs: https://delineate.readthedocs.io/

.. |PyPI| image:: https://badge.fury.io/py/delineate.svg
.. _PyPI: https://pypi.org/project/delineate/

.. |Git| image:: https://github.com/cjw296/delineate/actions/workflows/ci.yml/badge.svg
.. _Git: https://github.com/cjw296/delineate

This package provides a command line tool to backup and export data from `Linear`__.

__ https://linear.app/
elfshoe 0.1.2
Automated, validated, multi-architecture iPXE boot menu generation - where elves craft your network boot menus
Requires Python: >=3.7
Keywords: boot, elfshoe, ipxe, menu, network-boot, pxe

# elfshoe

**Automated iPXE boot menu generation - where elves craft your network boot menus.**

[![Documentation](https://img.shields.io/badge/docs-mkdocs-blue)](https://timhughes.github.io/elfshoe/)

## Features

- **🔧 Configuration-driven** - Define distributions and boot options in YAML
- **🏗️ Multi-architecture support** - Automatic x86_64, ARM64, i386, ARM filtering per client
- **🔄 Dynamic version detection** - Automatically fetch latest versions from metadata
- **✅ URL validation** - Verify boot files exist before adding to menu
- **📝 Custom templates** - Jinja2-based templates, easy to customize
- **🚀 Fast mode** - Skip validation for quick regeneration
- **🎯 Modular architecture** - Plugin system for adding new distributions
- **🏗️ Modern build system** - Uses Hatch for packaging and environments

## Quick Start

```bash
# 1. Copy example configuration
cp docs/examples/config.yaml config.yaml

# 2. Generate menu
elfshoe

# 3. Deploy to your HTTP server
sudo cp elfshoe.ipxe /var/www/pxe/
```

## Installation

### From Source

```bash
# Clone repository
git clone https://github.com/timhughes/elfshoe.git
cd elfshoe

# Install with pip
pip install -e .

# Or use hatch
hatch shell
```

### Requirements

- Python >= 3.7
- PyYAML >= 6.0
- Jinja2 >= 3.0

## Documentation

- **[Getting Started](https://timhughes.github.io/elfshoe/getting-started/)** - Create your first boot menu
- **[Server Setup](https://timhughes.github.io/elfshoe/server-setup/)** - Configure DHCP, TFTP, and HTTP infrastructure
- **[Reference](https://timhughes.github.io/elfshoe/reference/)** - Commands and configuration
- **[Architecture](https://timhughes.github.io/elfshoe/developer/architecture/)** - Technical design

## Example Configuration

See `docs/examples/config.yaml` for a complete working example with Fedora, CentOS, Debian, and netboot.xyz.

## Contributing

Contributions welcome! See [CONTRIBUTING.md](CONTRIBUTING.md) for development setup and guidelines.

## License

MIT License - see [LICENSE](LICENSE) file for details.

## Credits

- Built with [iPXE](https://ipxe.org/) - open source network boot firmware
- Uses [Hatch](https://hatch.pypa.io/) for modern Python packaging
rhiza-os 0.0.1
Universal grow management platform - BLE control, monitoring, and automation for indoor cultivation
Requires Python: >=3.11
Keywords: automation, ble, grow, hydroponics, iot, monitoring

# RhizaOS

Universal grow management platform by [MadSpin Labs](https://github.com/madspinlabs).

> Named for the rhizosphere — the hidden root network where all growth begins.

## What is RhizaOS?

RhizaOS is an open-source platform for monitoring and controlling indoor cultivation environments via BLE, with support for multiple hardware vendors.

**Status: Pre-alpha** — Active development. Not yet ready for general use.

## License

MIT