semvec/pypi-packages huggingface dataset:
biomechzoo 0.7.10
Python implementation of the biomechZoo toolbox
Requires Python: <3.12,>=3.11

# BiomechZoo for Python
This is a development version of the biomechzoo toolbox for python. 

## How to install 
- biomechZoo for python is now an official package, you can simply add biomechZoo to your environment using
``pip install biomechzoo``

## Usage notes
- If you need to install a specific version, run ``pip install biomechzoo==x.x.x`` where x.x.x is the version number. 
- If you need to update biomechzoo to the latest version in your env, run ``pip install biomechzoo --upgrade``

## Dependencies notes
- We use Python 3.11 for compatibility with https://github.com/stanfordnmbl/opencap-processing
- We use Numpy 2.2.6 for compatibility with https://pypi.org/project/numba/

See also http://www.github.com/mcgillmotionlab/biomechzoo or http://www.biomechzoo.com for more information

## Developer notes

### Installing a dev environment
conda create -n biomechzoo-dev python=3.11
conda activate biomechzoo-dev
cd biomechzoo root folder
pip install -e ".[dev]"

### import issues
if using PyCharm: 
- Right-click on src/.
- Select Mark Directory as → Sources Root.
sturnus 0.1.12
A Python library for demonstration and publishing to PyPI.
Requires Python: <4.0,>=3.12
Keywords: starling, sturnus

<div align="right">

[![devContainer](https://img.shields.io/badge/devContainer-233696c1?style=flat-square&logo=Docker&logoColor=%23FFFFFF&labelColor=%233696c1&color=%233696c1)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/starling-cloud/sturnus)

</div>

<header>
<p align="center">
    <img src="res/logo/sturnus-logo.png" width="20%" alt="Sturnus Logo">
</p>
<h1 align='center' style='border-bottom: none;'>Sturnus</h1>
<h3 align='center'>Starling Cloud</h3>
</header>

<br/>

---

A Python library for demonstration and publishing to PyPI.

---

## Installation

```bash
pip install sturnus
```

---

## Usage

```python
from sturnus import hello

print(hello("Starling"))
```

---

## Project Structure

``` sh
src/sturnus/
├── __init__.py      # Package initialization with namespace support
├── __version__.py   # Version management
├── __main__.py      # CLI interface
└── core.py          # Core greeting functions (hello, greet, format_message)
```

---

<p align="center">
    <b>Made with 💙 by <a href="https://www.starling.associates" target="_blank">Starling Associates</a></b><br/>
    <sub>Copyright 2026 Starling Associates. All Rights Reserved</sub>
</p>
brazilian-holidays 0.1.29
Brazilian Holidays
Requires Python: >=3.11
Keywords: holidays, feriados, brazilian

# Brazilian Holidays

[![Repo](https://img.shields.io/badge/GitHub-repo-blue?logo=github&logoColor=f5f5f5)](https://github.com/michelmetran/brazilian-holidays)
[![PyPI - Version](https://img.shields.io/pypi/v/brazilian-holidays?logo=pypi&label=PyPI&color=blue)](https://pypi.org/project/brazilian-holidays/)<br>
[![Read the Docs](https://img.shields.io/readthedocs/brazilian-holidays?logo=ReadTheDocs&label=Read%20The%20Docs)](https://brazilian-holidays.readthedocs.io/)
[![Publish Python to PyPI](https://github.com/michelmetran/brazilian-holidays/actions/workflows/publish-to-pypi-uv.yml/badge.svg)](https://github.com/michelmetran/brazilian-holidays/actions/workflows/publish-to-pypi-uv.yml)

<br>

> _Adoro um feriado! Quem não gosta?!_

Com objetivo de listar os feriados brasileiros, criei o pacote **feriados-brasileiros**, que permite criar uma tabela contendo todos os feriados de um determinado ano, bem como ajustar atributos conforme a necessidade.

A opção por ajustar atributos se deve ao fato de que, nem sempre, um feriado em uma instituição também é feriado n'outra! Feriado de endoeças, por exemplo, é feriado em instituições do meio jurídico, enquanto muitos nem sabem que feriado é esse!

É possível ajustar o nome dos feriados e até mesmo um campo de observações!

<br>

---

## Como Instalar?

```shell
pip3 install brazilian-holidays
```

<br>

---

## Documentação

Para ver a documentação:

- https://brazilian-holidays.readthedocs.io

<br>

---

## _TODO_

1. ~~Ajustar documentação~~
2. ~~Incluir o dia da semana!~~
3. ~~Implantar classe Calendário para pegar feriados de anos diversos~~
4. ~~Add domingo de ramos~~
django-webmention 4.0.0
A pluggable implementation for receiving webmentions for Django projects
Requires Python: >=3.10

# django-webmention [![PyPI version](https://badge.fury.io/py/django-webmention.svg)](https://badge.fury.io/py/django-webmention) [![Build Status](https://travis-ci.org/easy-as-python/django-webmention.svg?branch=master)](https://travis-ci.org/easy-as-python/django-webmention)

[webmention](https://www.w3.org/TR/webmention/) for Django projects.

## What this project is

This package provides a way to integrate [webmention endpoint discovery](https://www.w3.org/TR/webmention/#sender-discovers-receiver-webmention-endpoint) and [webmention receipts](https://www.w3.org/TR/webmention/#receiving-webmentions) into your project. Once you follow the installation instructions, you should be able to use something like [webmention.rocks](https://webmention.rocks/) to generate a test webmention and see it in the Django admin panel.

Once you receive a webmention, you can click through to the page the webmention was sent from and see what people are saying about your site. Afterward, you can mark the webmention as reviewed in the Django admin so you can more easily see the latest webmentions you receive.

Once you verify that you're receiving webmentions successfully, you can use the webmention information as you like. As an example, you could query the webmentions that are responses to a specific page and display them on that page.

## What this project isn't

This package does not currently provide functionality for [sending webmentions](https://www.w3.org/TR/webmention/#sending-webmentions).

## Installation

`$ pip install django-webmention`

* Add `'webmention'` to `INSTALLED_APPS`
* Run `python manage.py migrate webmention`
* Add the URL patterns to your top-level `urls.py`
    * `path('webmention/', include('webmention.urls'))` for Django >= 3.2

## Usage

* Include webmention information by either:
    * Installing the middleware in `settings.py` (affects all views)
        * Append `webmention.middleware.webmention_middleware` to your `MIDDLEWARE` settings
    * Decorating a specific view with `webmention.middleware.include_webmention_information`
* View webmention responses in the Django admin interface and mark them as reviewed as needed

## Development

### Setup

* Install [tox](https://tox.readthedocs.io)

### Running Tests

You can run tests using `tox`:

```shell
$ tox --parallel=auto
```
flowpad 0.1.6
Flow CLI $ SDK for flowpad
Requires Python: >=3.10

# Flow CLI

A local desktop CLI and UI for FlowPad — manage hooks, traces, and agentic workflows from your terminal.

## Quick Start

```bash
pip install flowpad
flow          # prints version
flow start    # launches the UI server and opens browser
```

## Requirements

- Python >= 3.10
- Node.js (for frontend development)
- [uv](https://docs.astral.sh/uv/) (for backend dependency management)

## Installation

Install from PyPI:

```bash
pip install flowpad
```

Install a specific version:

```bash
pip install flowpad==0.1.5
```

Install from GitHub (latest):

```bash
pip install git+https://github.com/langware-labs/flow-cli.git
```

Verify the installation:

```bash
flow
# => flow 0.1.5
```

## Uninstallation

```bash
pip uninstall flowpad
```

## CLI Commands

| Command | Description |
|---------|-------------|
| `flow` | Print version |
| `flow start` | Start the UI server and open browser |
| `flow trace` | Start server and trace hook events in real-time |
| `flow setup <agent>` | Setup FlowPad for a coding agent (e.g. `claude-code`) |
| `flow hooks set` | Install Flow hooks into Claude Code settings |
| `flow hooks list` | List configured hooks |
| `flow hooks clear` | Remove Flow hooks from Claude Code settings |
| `flow config list` | List configuration values |
| `flow config set key=value` | Set a configuration value |
| `flow auth login` | Login to FlowPad (opens browser or accepts API key) |
| `flow auth logout` | Logout and remove stored credentials |
| `flow ping <string>` | Send a test ping to the local server |

## Development

### Backend

```bash
uv sync                    # install Python dependencies
python minihub/run.py      # start backend server on port 9007
```

The backend serves the API at `http://localhost:9007`. Bootstrap endpoint: `http://localhost:9007/api/v1/graph/bootstrap`

### Frontend

```bash
cd minihub/ui
npm install                # install Node dependencies
npm run dev                # start Vite dev server on port 4097
```

The frontend runs at `http://localhost:4097` and proxies API calls to the backend.

### Running Tests

```bash
# Backend API tests
python -m pytest tests/api/ -v

# Backend SDK unit tests
cd flow-sdk/python && python -m pytest tests/ -v

# Frontend build + lint
cd minihub/ui && npm run build && npm run lint
```

## Deployment

Use the deploy script to bump version, tag, push, and validate:

```bash
./scripts/deploy_to_github.sh              # runs tests first
./scripts/deploy_to_github.sh --skip-tests # skip tests
```

This will:
1. Increment the patch version in `_version.py`
2. Run tests (unless `--skip-tests`)
3. Commit and tag the release
4. Push to GitHub
5. Install from GitHub and validate the version
logfire-api 4.25.0
Shim for the Logfire SDK which does nothing unless Logfire is installed
Requires Python: >=3.8

# logfire-api

Shim for the logfire SDK Python API which does nothing unless logfire is installed.

This package is designed to be used by packages that want to provide opt-in integration with [Logfire](https://github.com/pydantic/logfire).

The package provides a clone of the Python API exposed by the `logfire` package which does nothing if the `logfire` package is not installed, but makes real calls when it is.