semvec/pypi-packages huggingface dataset:
models-dev 1.0.137
Typed Python interface to models.dev API data
Requires Python: >=3.10
Keywords: ai, anthropic, llm, models, openai

# models-dev

Typed Python package for [models.dev](https://models.dev) data. Access 2000+ LLM models from 75+ providers with full typing support. No HTTP calls - data is bundled and auto-updated hourly.

See [GitHub](https://github.com/vklimontovich/models-dev) for documentation and examples.
radboy 0.0.960
A Retail Calculator for Android/Linux
Requires Python: >=3.6

to use this application at its simplest

`pip install radboy==$VERSION`

create a Run.py file and paste the following into it and save
`from radboy import Run`

for lookups to be made possible please explore the in-prompt help text as a populated data file is not yet ready for use comsumption.# Radboy
# Radboy
predicate-contracts 0.4.7
Shared typed contracts for Predicate authority and integrations.
Requires Python: >=3.11

# predicate-contracts

`predicate-contracts` is the shared contract package for Predicate authority workflows.

It contains:

- typed data contracts (`ActionRequest`, `PolicyRule`, `AuthorizationDecision`, etc.),
- integration protocols (`StateEvidenceProvider`, `VerificationEvidenceProvider`, `TraceEmitter`),
- no runtime dependency on `sdk-python` internals or authority runtime logic.
keras-nlp-nightly 0.27.0.dev202602210456
Pretrained models for Keras.
Requires Python: >=3.10

# KerasNLP: Multi-framework NLP Models

KerasNLP has renamed to KerasHub! Read the announcement
[here](https://github.com/keras-team/keras-nlp/issues/1831).

This contains a shim package for `keras-nlp` so that the old style
`pip install keras-nlp` and `import keras_nlp` continue to work.
pyconnora 1.0.2
A simplified Python library for ORACLE sql operations.
Requires Python: >=3.12
Keywords: oracle, database, connection

# Oracle Database Connection Utility

A lightweight Python utility class for connecting to **Oracle databases** using `cx_Oracle`, with built-in support for environment variables and `.env` configuration.

---

## 📘 Overview

The `Connect` class provides a simple interface to:
- Establish a connection to an Oracle database.
- Execute parameterized queries securely.
- Fetch data from specific tables or columns.
- Automatically load credentials from a `.env` file or environment variables.

This helps you avoid hardcoding credentials and ensures safer, cleaner database access in Python.

---

## ⚙️ Features

- ✅ Automatic `.env` file loading based on OS (Windows/Linux).  
- ✅ Fallback to environment variables (`ORA_HOST`, `ORA_USER`, etc.).  
- ✅ Secure parameter binding (prevents SQL injection).  
- ✅ Simple API for fetching data (WIP).  
- ✅ Easy cleanup with `close()`.

---

## 📦 Requirements

- **Python** 3.10 or later  
- **Oracle Instant Client** installed and accessible  
- **cx_Oracle** Python package  
- **python-dotenv** for `.env` management
python-nhi 1.3.2
A function to check strings against the New Zealand Ministry of Health NHI Validation Routine
Requires Python: >=3.9

# NHI

[![Repository](https://img.shields.io/badge/jamesansley%2Fnhi-102335?logo=codeberg&labelColor=07121A)](https://codeberg.org/jamesansley/nhi)
[![License](https://img.shields.io/badge/Apache--2.0-002d00?label=license)](https://codeberg.org/jamesansley/nhi/src/branch/main/LICENSE)
[![PyPi](https://img.shields.io/pypi/v/python-nhi)](https://pypi.org/project/python-nhi/)

A function to check strings against the New Zealand Ministry of Health NHI
Validation Routine.
Supports the old and new NHI number formats specified in
[HISO 10046:2025](https://www.tewhatuora.govt.nz/publications/hiso-100462025-consumer-health-identity-standard/).

## Install

```
pip install python-nhi
```

For the other versions of this library, see:
- [nhi on Hex (Elixir)](https://hex.pm/packages/nhi/0.0.1)
- [nhi on JSR (JavaScript)](https://jsr.io/@ansley/nhi)
- [nhi on Crates (Rust)](https://crates.io/crates/nhi)
- [nhi with Pkl](https://codeberg.org/jamesansley/nhi/src/branch/main/pkl)

## Usage

New format NHI values:

```python
from nhi import is_nhi

is_nhi("ABC12DS")  # True
is_nhi("ABC12D0")  # False
```

Old format NHI values:

```python
from nhi import is_nhi

is_nhi("AAA1116")  # True
is_nhi("AAA1110")  # False
```

By default, test NHI values (starting with 'Z') are rejected:

```python
from nhi import is_nhi

is_nhi("ZZZ00AC")  # False
```

Test values can be allowed with the allow_test_values flag:

```python
from nhi import is_nhi

is_nhi("ZZZ00AC", allow_test_values=True)  # True
```

## See Also

- https://www.tewhatuora.govt.nz/publications/hiso-100462025-consumer-health-identity-standard/
multi-user-gymnasium 0.1.2
A platform for running interactive experiments in the browser with standard simulation environments.
Requires Python: >=3.10

# Multi-User Gymnasium (MUG)

![PyPI - Version](https://img.shields.io/pypi/v/multi-user-gymnasium)
![PyPI - Downloads](https://img.shields.io/pypi/dm/multi-user-gymnasium)

<div align="center">
  <img src="docs/content/mug_logo.png" alt="MUG logo" width="300"/>
</div>

Multi-User Gymnasium (MUG) converts Gymnasium and PettingZoo environments into browser-based, multi-user experiments. It enables Python simulation environments to be accessed online, allowing humans to interact with them individually or alongside AI agents and other participants.

## Multiplayer Configuration

For P2P multiplayer experiments, MUG uses WebRTC for low-latency peer-to-peer connections. When direct P2P connections fail (due to firewalls, NAT, or restrictive networks), a TURN server provides relay fallback.

**Setting up TURN credentials:**

1. Sign up for a free TURN server at [Open Relay (metered.ca)](https://www.metered.ca/tools/openrelay/) (free tier: 20GB/month)

2. Set environment variables with your credentials:

   ```bash
   export TURN_USERNAME="your-openrelay-username"
   export TURN_CREDENTIAL="your-openrelay-api-key"
   ```

3. Enable WebRTC in your experiment configuration:

   ```python
   from mug.configurations import RemoteConfig

   config = RemoteConfig()
   config.webrtc()  # Auto-loads from TURN_USERNAME and TURN_CREDENTIAL env vars
   ```

**Alternative: Using a .env file**

Create a `.env` file (add to `.gitignore`):

```text
TURN_USERNAME=your-openrelay-username
TURN_CREDENTIAL=your-openrelay-api-key
```

Then load it in your experiment:

```python
from dotenv import load_dotenv
load_dotenv()

config = RemoteConfig()
config.webrtc()
```

**Testing TURN relay:**

To force all connections through TURN (useful for testing):

```python
config.webrtc(force_relay=True)
```

## Acknowledgements

The Phaser integration and server implementation are inspired by and derived from the
Overcooked AI demo by Carroll et al. (https://github.com/HumanCompatibleAI/overcooked-demo/tree/master).
arpakitlib 1.9.40
arpakitlib
Requires Python: <4.0,>=3.12.4
Keywords: arpakitlib, arpakit, arpakit-company, arpakitcompany, arpakit_company

# arpakitlib

## 🚀 Simplify Your Development Workflow

A collection of lightweight and convenient development tools by arpakit, designed to simplify and accelerate your
workflow

---

### Supported Python version

- Python 3.12.4+

---

### Installation methods

```
poetry add arpakitlib
# or
pip add arpakitlib
# or
poetry add git+https://github.com/ARPAKIT-Company/arpakitlib.git@master
```

---


## ❤️ Made by ARPAKIT Company ❤️