semvec/pypi-packages huggingface dataset:
mlx3d 0.0.1
Differentiable 3D rendering and geometry ops on Apple Silicon with MLX
License: MIT
Requires Python: <3.13,>=3.10
Keywords: 3D, graphics, renderer, differentiable, MLX, Apple Silicon, Metal

# Mlx3D : A library for working with 3D data using mlx
<p align="center">
  <img src="./Logo.jpeg" height="auto" width="50%" />
</p>

# Introduction
Mlx3D provides efficient, fast and reusable components for 3D Computer Vision research with [MLX](https://github.com/ml-explore/mlx) (Machine learning research on Apple Silicon).

# Development
As we are in an **early stages of development**, we are looking for contributors to help us build this library. If you are interested in contributing, please feel free to file an issue and get started!

# Roadmap
- [x] Implement `Mesh` structure
- [ ] Add support for texture loading
- [ ] Implement `.mtl` file loader
- [ ] Implement `.obj` file loader
- [ ] Implement `.ply` file loader
- [ ] Implement `SoftPhongShader`
- [ ] Implement `HardPhongShader`
- [ ] ... (new plans, be added!)
DecoderBot 1.2.1
A simple trainable chatbot using OOP in Python
License: MIT
Requires Python: >=3.6

# DecoderBot 🤖

> A lightweight Python chatbot that responds to messages using exact or close matches with `difflib`.

[![PyPI version](https://img.shields.io/pypi/v/DecoderBot?color=brightgreen)](https://pypi.org/project/DecoderBot/)
![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)
![Made with ❤️ by Unknown Decoder](https://img.shields.io/badge/Made%20by-Unknown%20Decoder-ff69b4)

---

## 💡 What is DecoderBot?

DecoderBot is a simple Python class that lets you build a chatbot that replies to input messages based on:
- **Exact matches** (like `"hello"`)
- **Closest matches** (like `"helo"` → `"hello"`), if `difflib` is available

No extra libraries. No nonsense. Just logic.

---

## 🚀 Features

- 🧠 Exact and fuzzy response matching
- 🛠️ Add or update responses easily
- 📦 Zero external dependencies
- 🔥 Lightweight and fast

---

## 🛠️ How to Use

### 1. Clone or download the `chatbot.py` file.

### 2. Import and use it in your project:

```python
from DecoderBot import ChatBot

bot = ChatBot("Your Bot Name")

# Add a custom response
bot.train_for("yo", "What's up?")

# Get exact match response
print(bot.get_response("yo"))  # Output: What's up?

# Get a close match response (e.g. "helo" → "hello")
try:
    print(bot.get_closest_response("helo"))
except Exception as e:
    print(e)
```
---
## OR
### You can install it using the command `pip install DecoderBot`!
django-pagination-widget 0.1.2
A reusable Django pagination component with modern, clean styling and interactive JavaScript behavior
License: MIT
Requires Python: >=3.8
Keywords: django, pagination, widget, modern, javascript

# Django Pagination Widget

A modern, zero-dependency Django pagination component with clean styling, accessible markup, and a tiny vanilla-JS helper for smart ellipsis.

Supports: Django 4.2+ (CI covers 4.2 [LTS], 5.0, 5.1, 5.2 [LTS]) · Python 3.8–3.13

## Install

```bash
pip install django-pagination-widget
```

## Quick start

1) Add the app

```python
INSTALLED_APPS = [
	# ...
	"django_pagination_widget",
]
```

2) In your template

```html
{% load pagination_tags %}

<!-- Basic usage (widget auto-includes its CSS/JS) -->
{% pagination_widget page_obj %}

<!-- Or load assets once (e.g., in base.html) and reuse the widget -->
{% pagination_css %}
{% pagination_js %}
{% pagination_widget page_obj %}

<!-- Or render the widget “bare” (skip auto-included assets) -->
{% pagination_widget page_obj include_assets=False %}
```

Optional: include your own theme overrides

```html
{% pagination_custom_css 'css/pagination_widget.css' %}

Global default for “bare” mode (optional):

```python
PAGINATION_WIDGET = {
	"INCLUDE_ASSETS_BY_DEFAULT": False,
}
```
```

## Links

- Source: https://github.com/priyesh-04/django-pagination-widget
- Issues: https://github.com/priyesh-04/django-pagination-widget/issues

License: MIT