semvec/pypi-packages huggingface dataset:
xaal.fakeinput 0.4.4
xAAL fake switch, buttons, contact devices 
Keywords: xaal, json

xaal.fakeinput
==============
This package provides some dummy (fake) input devices for the xAAL Project. It come with a web interface to control the devices.
We use this package to fake the lab inputs for testing purpose.

Usage
-----
Just edit the 'fakeinput.ini' file to fit your needs and run the package.

.. code-block:: bash

    $ python -m xaal.fakeinput
    # or
    $ xaal-pkgrun fakeinput

Open the web interface to control the devices (http://localhost:8081).
geobbox 0.1.1
A Python library to manipulate georeferenced bounding boxes.
Requires Python: >=3.10

<!-- Do not remove the surrounding blank lines. See https://stackoverflow.com/questions/70292850/centre-align-shield-io-in-github-readme-file -->
<div align="center">

  <a href="https://github.com/psf/black">![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)</a>
  <a href="https://geobbox.readthedocs.io/en/latest/?badge=latest">![Documentation Status](https://readthedocs.org/projects/geobbox/badge/?version=latest)</a>

</div>

# Geobbox

A simple Python library to manipulate georeferenced bounding boxes.

```python
from geobbox import GeoBoundingBox
from rasterio import CRS

bbox = GeoBoundingBox(
    left = 0,
    right = 1,
    bottom = 0,
    right = 1,
    crs = CRS.from_epsg(4326)
)
```

Read the [docs](https://geobbox.readthedocs.io/en/latest/) for more details.
stackit-edge 0.1.0
STACKIT Edge Cloud API
Requires Python: <4.0,>=3.9

# stackit.edge
This API provides endpoints for managing STACKIT Edge Cloud instances.


This package is part of the STACKIT Python SDK. For additional information, please visit the [GitHub repository](https://github.com/stackitcloud/stackit-sdk-python) of the SDK.


## Installation & Usage
### pip install

```sh
pip install stackit-edge
```

Then import the package:
```python
import stackit.edge
```

## Getting Started

[Examples](https://github.com/stackitcloud/stackit-sdk-python/tree/main/examples) for the usage of the package can be found in the [GitHub repository](https://github.com/stackitcloud/stackit-sdk-python) of the SDK.
devs-common 1.2.1
Shared utilities for devs package ecosystem
Requires Python: >=3.8

# devs-common

Shared utilities and core classes for the devs package ecosystem.

## Components

- **Core Classes**: Project, WorkspaceManager, ContainerManager
- **Configuration**: Base configuration classes  
- **Exceptions**: Common exception hierarchy
- **Utilities**: Docker, Git, and file operation utilities

## Usage

```python
from devs_common.core import Project, WorkspaceManager, ContainerManager
from devs_common.config import BaseConfig
```

This package provides the shared foundation for both the devs CLI and webhook packages.
zi-mcp 0.1.3
MCP server for Zi - Your AI companion for life guidance
Requires Python: >=3.10
Keywords: ai, astrology, bazi, companion, mcp, zi

# Zi MCP Server

Connect AI agents like Claude Code to [Zi](https://ziai.chat) - your AI companion for life guidance.

## Installation

```bash
# Using uvx (recommended)
uvx zi-mcp

# Or install with pip
pip install zi-mcp
```

## Setup

1. **Get your API key** from [ziai.chat/settings](https://ziai.chat/settings)

2. **Configure Claude Code** - Add to `~/.claude/settings.json`:

```json
{
  "mcpServers": {
    "zi": {
      "command": "uvx",
      "args": ["zi-mcp"],
      "env": {
        "ZI_API_KEY": "zi_your_api_key_here"
      }
    }
  }
}
```

3. **Restart Claude Code** and start chatting with Zi!

## Usage

Once configured, you can ask Claude to interact with Zi:

- "Ask Zi about my career direction"
- "Talk to Zi about work-life balance"
- "Continue my conversation with Zi about relationships"

## Available Tools

| Tool | Description |
|------|-------------|
| `zi_chat` | Send a message to Zi, optionally continuing an existing thread |
| `zi_list_threads` | List all your conversation threads |
| `zi_get_thread` | Get the history of a specific thread |
| `zi_create_thread` | Create a new conversation thread |
| `zi_delete_thread` | Delete a conversation thread |

## Environment Variables

| Variable | Required | Description |
|----------|----------|-------------|
| `ZI_API_KEY` | Yes | Your Zi API key |
| `ZI_API_URL` | No | Custom API URL (default: https://api.ziai.chat) |

## Development

```bash
# Clone the repo
git clone https://github.com/bigsmall-jsc/zi.git
cd zi/zi-mcp

# Install in development mode
pip install -e .

# Run locally
ZI_API_KEY=your_key python -m zi_mcp.server
```

## License

MIT
pyphot 2.1.0
A tool for computing photometry from spectra
Requires Python: >=3.9

pyphot -- A tool for computing photometry from spectra
======================================================

.. image:: https://img.shields.io/pypi/v/pyphot.svg
    :target: https://pypi.org/project/pyphot/

.. image:: https://zenodo.org/badge/70060728.svg
   :target: https://zenodo.org/badge/latestdoi/70060728

.. image:: https://static.pepy.tech/badge/pyphot
   :target: https://pepy.tech/project/pyphot

.. image:: https://static.pepy.tech/badge/pyphot/month
   :target: https://pepy.tech/project/pyphot

.. image:: https://img.shields.io/badge/python-3.9,_3.10,_3.11,_3.12,_3.13,_3.14-blue.svg

This is a set of tools for computing synthetic photometry in a simple way, ideal for integration into larger projects.

Full documentation at: http://mfouesneau.github.io/pyphot/

The inputs are photonic or energetic response functions for the desired photometric bands and stellar spectra. The modules are flexible to handle units in the wavelength definition through a simplified version of `pint <https://pint.readthedocs.io/en/stable/>`_  and `astropy.units <https://docs.astropy.org/en/stable/units/index.html>`_

Filters are represented individually by a `Filter` object. Collections of filters are handled with a `Library`. We provide an internal library that contains a significant number of common filters.

Each filter is minimally defined by a `wavelength` and `throughput`. Many properties, such as the central or pivot wavelength, are computed internally. When units are provided for the wavelength, zero points in multiple units are also accessible (AB, Vega magnitude, Jy, erg/s/cm2/AA). The default detector type is assumed to be photonic, but energetic detectors are also handled for the computations.

.. image:: https://mybinder.org/badge.svg
  :target: https://mybinder.org/v2/gh/mfouesneau/pyphot/master?filepath=examples%2FQuickStart.ipynb

.. image:: https://img.shields.io/badge/render%20on-nbviewer-orange.svg
  :target: https://nbviewer.jupyter.org/github/mfouesneau/pyphot/tree/master/examples/

What's new?
-----------
See `release notes <https://mfouesneau.github.io/pyphot/whats_new.html>`_

Installation
------------
Before installation, make sure you have HDF5 version 1.8.4 or later (required for pytables; see details at https://github.com/PyTables/PyTables). We will remove this dependency in a future release.

For OSX:

.. code::

  brew install hdf5

For Debian-based distributions:

.. code::

  sudo apt-get install libhdf5-serial-dev


* Installation from PyPI

.. code::

  pip install pyphot

  pip install git+https://github.com/mfouesneau/pyphot   # if you want the unreleased version

* Manual installation

Download the repository and run the setup

.. code::

  git clone https://github.com/mfouesneau/pyphot
  cd pyphot
  pip install .



Contributors
------------

Author:

Morgan Fouesneau

Direct contributions to the code base:

* Tim Morton (@timothydmorton)
* Ariane Lancon (@lancon)

Related projects
----------------

- `cphot <https://github.com/mfouesneau/cphot>`_ is a spin-off project that provides a C++ version of pyphot