semvec/pypi-packages huggingface dataset:
litagent 0.0.1
A minimal, general-purpose AI agent harness.
Requires Python: >=3.11

# LitAgent

A minimal, general-purpose AI agent harness.

```bash
pip install litagent
```

```python
from litagent.core import AgentLoop, Tool, OpenAIClient

agent = AgentLoop(
    client=OpenAIClient(),
    system_prompt="You are helpful.",
    tools=[...],
    max_turns=5,
)
result = await agent.run([{"role": "user", "content": "Hello"}])
```
vscanner 0.1.0
A simple Python package vulnerability scanner.
Requires Python: >=3.10
Keywords: security, utilities, utility, vulnerabilities, vulnerability

# A simple Python package vulnerability scanner

[![PyPI - Version](https://img.shields.io/pypi/v/vscanner?style=flat-square)](https://pypi.org/project/vscanner)
[![PyPI - Implementation](https://img.shields.io/pypi/implementation/vscanner?style=flat-square)](https://pypi.org/project/vscanner)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/vscanner?style=flat-square)](https://pypi.org/project/vscanner)
[![PyPI - Status](https://img.shields.io/pypi/status/vscanner?style=flat-square)](https://pypi.org/project/vscanner)
[![Static Badge](https://img.shields.io/badge/pylint_analysis-100%25-brightgreen?style=flat-square)](https://pypi.org/project/vscanner)
[![PyPI - License](https://img.shields.io/pypi/l/vscanner?style=flat-square)](https://opensource.org/license/mit)
[![PyPI - Wheel](https://img.shields.io/pypi/wheel/vscanner?style=flat-square)](https://pypi.org/project/vscanner)

## Overview
**vscanner** is a lightweight Python tool designed to scan Python packages (and their dependencies) for known vulnerabilities. By analyzing a `requirements.txt`-style input file, it cross-references each package against the [OSV (Open Source Vulnerabilities) database][osv] and logs the results - including vulnerable packages, versions, and severity - to a structured CSV file. Ideal for developers and security teams, **vscanner** helps identify and mitigate risks in your project’s dependencies with minimal setup.

## Quickstart

### Installation
To install `vscanner`, first activate the target virtual environment, then use `pip`:

```bash
pip install vscanner
```

For older releases, visit [PyPI][pypi-history] or the [GitHub Releases][github-releases] page.

### Command Line Utility
Simply run `vscan` with the path to the input file containing the libraries to scan. Once the scan is complete, a log file (in CSV format) is written to your Desktop.

For example:

```bash
vscan /path/to/requirements.txt
```

> **Important:** The input file is expected to be in ``requirements.txt``-style format.

## Command Line Utility Options

### Help Menu: ``--help``
The help menu can be accessed at any time using the following. This provides an overview of the tool's capabilities and available options.

```bash
vscan --help
```

### No Dependencies: ``--no-deps``
To perform a scan on the *listed packages only*, (i.e. disabling the dependency search and scan), pass the ``--no-deps`` argument as:

```bash
vscan /path/to/requirements.txt --no-deps
```

## Troubleshooting
No troubleshooting guidance is available at this time.

For questions not covered here, or to report bugs, issues, or suggestions, please open an issue on [GitHub][github].

[github]: https://github.com/s3dev/vscanner
[github-releases]: https://github.com/s3dev/vscanner/releases
[osv]: https://osv.dev/
[pypi-history]: https://pypi.org/project/vscanner/#history
mira 0.9.36
A package for simplifying object detection
Requires Python: <3.12,>=3.8

# mira ![CI Status](https://github.com/faustomorales/mira/actions/workflows/ci.yaml/badge.svg) [![Documentation Status](https://readthedocs.org/projects/mira-python/badge/?version=latest)](https://mira-python.readthedocs.io/en/latest/?badge=latest)

mira provides tooling for simple object detection projects. The package spans three areas of focus.

- **Core** object detection abstractions for images and annotations
- Access to **datasets** from common formats (e.g., VOC, COCO) and image sets (e.g., VOC 2012)
- A common API to for **well-known models** (e.g., RetinaNet and FasterRCNN)

Check out [the docs](https://mira-python.readthedocs.io/en/latest/).

## Installation

```shell
pip install mira
```
cotton-heroicons 0.2.0
A Django Cotton Component Library of Heroicons
Requires Python: >=3.10
Keywords: component, cotton, django, heroicons, library

# cotton-heroicons

A [Django Cotton](https://django-cotton.com/) Component Library of [Heroicons](https://heroicons.com/)

## Usage

To use the icons in your templates, simply add the component tag with the icon name as the tag name. The default variant
is 'outline', but you can specify a different variant using the 'variant' attribute.

Any additional HTML attributes (e.g. `class`, `id`) are passed directly to the `<svg>` element.

Each variant has a default size that matches the Heroicons recommendations:
- **outline** / **solid**: 1.5rem (24px)
- **mini**: 1.25rem (20px)
- **micro**: 1rem (16px)

You can override the default size by passing a `style` attribute.

```html
<!-- The default variant is 'outline' -->
<c-heroicon.cloud />

<!-- Specify the variant with the 'variant' attribute -->
<c-heroicon.shopping-bag variant="mini" />

<!-- Add additional classes -->
<c-heroicon.square-3-stack-3d class="text-violet-700" />

<!-- Override the default size -->
<c-heroicon.eye style="width: 0.75rem; height: 0.75rem;" />
```

### Outline variant options

The outline variant exposes `stroke_width`, `stroke_linecap`, and `stroke_linejoin` attributes:

```html
<c-heroicon.cloud stroke_width="2" />
```

## Installation

```bash
pip install cotton-heroicons
```

Update Django settings:

```python
INSTALLED_APPS = [
    ...
    'django_cotton',
    'cotton_heroicons',
    ...
]
```
pybind11-coordtransform 0.1.3
c++/python version of coordtransform
Requires Python: >=3.7

# pybind11_coordtransform

## install

from pypi:

```bash
pip install pybind11_coordtransform
```

local:

```bash
make python_install
```

## usage

```bash
from pybind11_coordtransform import wgs84_to_gcj02_Nx2 as wgs84_to_gcj02
wgs84_to_gcj02(lon_lats)
```

## development

```bash
make build
```