semvec/pypi-packages huggingface dataset:
dhenara 1.0.3
DEPRECATED: Please use dhenara-ai instead
License: MIT
Requires Python: >=3.10
Keywords: ai, llm, machine learning, language models

# dhenara (DEPRECATED)

**⚠️ DEPRECATION NOTICE ⚠️**

This package has been renamed to [`dhenara-ai`](https://pypi.org/project/dhenara-ai/).

Please update your dependencies to use the new package:

```bash
pip install dhenara-ai
```

## No Code Changes Required

Your existing code will continue to work without changes:

```python
# This will still work with either package installed
import dhenara.ai
```

## Why the Change?

We've renamed the package to better reflect its focus on AI capabilities and to avoid naming conflicts. The `dhenara-ai` package contains all the same functionality as before.


### Package Family
We're expanding the ecosystem with related packages:

- **`dhenara-ai`**: The core package (formerly known as dhenara)
- **`dhenara-agent`**: Our new agent framework package built on top of `dhenara-ai`
You can install them separately or together depending on your needs.

## About Dhenara-AI

Dhenara is a genuinely open source Python package for interacting with various AI models in a unified way. It is a lightweight, straightforward framework for integrating multiple AI models into Python applications. It's similar in spirit to LangChain but with a focus on simplicity and minimal dependencies along with type safety using Pydantic Models.

### Key Features

- **Genuinely Open Source**: Built from the ground up as a community resource, not an afterthought or internal tool
- **Unified API**: Interact with different AI providers through a consistent interface
- **Type Safety**: Built with Pydantic for robust type checking and validation
- **Easy Regeneration across Providers**: With a unified Pydantic output and built-in prompt formatting, send output from a model to any other model easily
- **Streaming**: First-class support for streaming responses along with accumulated responses similar to non-streaming responses
- **Async Support**: Both synchronous and asynchronous interfaces for maximum flexibility
- **Resource Management**: Automatic handling of connections, retries, and timeouts
- **Foundation Models**: Pre-configured models with sensible defaults
- **Test Mode**: Bring up your app with dummy responses for streaming and non-streaming generation
- **Cost/Usage Data**: Derived cost and usage data along with responses, with optional charge for each model endpoint for commercial deployment
- **Community-Oriented Design**: An architecture separating API credentials, models, and configurations for flexible deployment and scaling

## Automatic Redirection

This package now serves as a thin compatibility layer that automatically installs and imports from `dhenara-ai`. However, it will display deprecation warnings to encourage users to migrate to the new package name.



## Documentation

For full documentation, visit [docs.dhenara.com](https://docs.dhenara.com/).
laudanum 0.1.11
A CLI tool for creating logos with ASCII art.
License: MIT
Requires Python: >=3.9
Keywords: ascii, art, logo, image

![laudanum](https://raw.githubusercontent.com/michaelthomasletts/laudanum/refs/heads/main/docs/laudanum.png)

[![PyPI Download](https://img.shields.io/pypi/v/laudanum?logo=pypis.svg)](https://pypi.org/project/laudanum/)
![Python Version](https://img.shields.io/pypi/pyversions/laudanum?style=pypi)
![GitHub last commit](https://img.shields.io/github/last-commit/michaelthomasletts/laudanum?logo=github)
[![PyPI Downloads](https://static.pepy.tech/badge/laudanum)](https://pepy.tech/projects/laudanum)

## What it is

A simple Python package and CLI tool for creating logos with [ASCII art](https://www.ascii-art.site/FontList.html).

## How to use it
##### Python

```python

from laudanum import Logo


Logo("fancypants").create()
```

##### CLI

```bash

laudanum --text fancypants --font ghost --filename holyguacamole.png
```

## Where to get it

```bash

pip install laudanum
```

## Where to learn more

- [Documentation](https://michaelthomasletts.github.io/laudanum/index.html)
- [Source Code](https://github.com/michaelthomasletts/laudanum)
- [PyPI](https://pypi.org/project/laudanum/)