semvec/pypi-packages huggingface dataset:
RecallAIAsh 0.1.0
RecallAI is a cutting-edge Retrieval-Augmented Generation (RAG) framework designed for Large Language Models (LLMs). It enhances LLM responses by integrating real-time knowledge retrieval from structured and unstructured data sources.
Requires Python: >=3.10

# RecallAI
RecallAI is a cutting-edge Retrieval-Augmented Generation (RAG) framework designed for Large Language Models (LLMs). It enhances LLM responses by integrating real-time knowledge retrieval from structured and unstructured data sources.
tsappWrapper-zephyros1938 0.0.5
A package that modifies Techsmart's Tsapp
Requires Python: >=3.8

# Tsapp Wrapper

An extension for Pygame adding useful features, developed by Zephyros1938.

## Overview

This project provides additional functionality to Python and Pygame, enhancing the capabilities of the TechSmart Graphics Library (tsapp). It includes various graphical objects, utilities, and configurations to create and manage graphical applications more efficiently.

## Installation

1. Clone the repository:
    ```sh
    git clone https://github.com/yourusername/tsapp_wrapper.git
    ```
2. Navigate to the project directory:
    ```sh
    cd tsapp_wrapper
    ```
3. Install the required dependencies:
    ```sh
    pip install -r requirements.txt
    ```

## Usage

### Example

Here's a basic example of how to create a window and add a polygonal object:

```python
import zephyros1938.tsapp as tsapp
import zephyros1938.tsappMod as tsappMod

# Create a window
window = tsappMod.Surface(width=800, height=600, background_color=tsapp.WHITE, title="Example Window")

# Create a polygonal object
config = tsappMod.PolygonalObjectConfig(points=[[0, 0], [100, 0], [50, 100]], center=[400, 300], color=tsapp.RED)
polygon = tsappMod.PolygonalObject(config=config)

# Add the polygon to the window
window.add_object(polygon)

# Main loop
while window.is_running:
    window.finish_frame()
```

## License

This project is licensed under the MIT License. See the [LICENSE](./LICENSE) file for details.

## Contact

For any inquiries, please contact Zephyros1938 at [zephyros@zephyros1938.org](mailto:zephyros@zephyros1938.org).
tenable-was 0.3.0
Python client for Tenable Web Application Scanning (WAS) API
Requires Python: >=3.11

# tenable-was

A Python client library for interacting with Tenable's Web Application Scanning (WAS) APIs, simplifying tasks like searching configurations, scans, and exporting scan reports.

## Installation

Install via pip:

```bash
pip install tenable-was
```

## Usage

### Initialize the Client

Create a client instance with your Tenable API keys:

```python
from tenable_was import TenableClient

client = TenableClient(
    access_key="YOUR_ACCESS_KEY",
    secret_key="YOUR_SECRET_KEY",
    base_url="https://fedcloud.tenable.com"  # Optional, this is the default
)
```

### Search Configurations

Retrieve scan configurations:

```python
configs = client.search_configs(limit=10)
print(configs)
```

### Search Scans

Find completed scans for a specific configuration:

```python
scans = client.search_scans(config_id="your-config-id", limit=10)
print(scans)
```

### Export Scan Reports

Generate and download a scan report:

```python
report = client.export_scan(scan_id="your-scan-id")
print(report)
```

You can also specify the content type:

```python
# Get report in JSON (default)
json_report = client.export_scan(scan_id="your-scan-id", content_type="application/json")

# Or get report in other formats
pdf_report = client.export_scan(scan_id="your-scan-id", content_type="application/pdf")
```

## Requirements

- Python 3.11+
- Requests 2.32.3+

## Authors

- **Alec Meyer** - [abmeyer@stackarmor.com](mailto:abmeyer@stackarmor.com)
- **Megha Patel** - [mpatel@stackarmor.com](mailto:mpatel@stackarmor.com)

## Building and Publishing

### Building with uv
```bash
uv build
```

### Publishing with uv
```bash
uv publish --token YOUR_PYPI_TOKEN_HERE
```