semvec/pypi-packages huggingface dataset:
django-kmuhelper 1.8.7
Ein Helfer für schweizer KMU
Requires Python: >=3.12

# KMUHelper

(Click [here](./README-EN.md) for an English version.)

[![PyPI](https://img.shields.io/pypi/v/django-kmuhelper)](https://pypi.org/project/django-kmuhelper)
[![PyPI - Django Version](https://img.shields.io/pypi/djversions/django-kmuhelper)](https://pypi.org/project/django-kmuhelper)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/django-kmuhelper)](https://pypi.org/project/django-kmuhelper)
[![PyPI - License](https://img.shields.io/pypi/l/django-kmuhelper)](https://github.com/rafaelurben/django-kmuhelper/blob/main/LICENSE)

[![GitHub code size in bytes](https://img.shields.io/github/languages/code-size/rafaelurben/django-kmuhelper)](https://github.com/rafaelurben/django-kmuhelper)
[![GitHub lines of code](https://img.shields.io/tokei/lines/github.com/rafaelurben/django-kmuhelper)](https://github.com/rafaelurben/django-kmuhelper)
[![GitHub issues](https://img.shields.io/github/issues/rafaelurben/django-kmuhelper)](https://github.com/rafaelurben/django-kmuhelper/issues)
[![GitHub pull requests](https://img.shields.io/github/issues-pr/rafaelurben/django-kmuhelper)](https://github.com/rafaelurben/django-kmuhelper/pulls)

[![CodeFactor](https://www.codefactor.io/repository/github/rafaelurben/django-kmuhelper/badge)](https://www.codefactor.io/repository/github/rafaelurben/django-kmuhelper)

Der KMUHelper ist, wie der Name schon sagt, ein Helfer für KMU - hauptsächlich jedoch für Schweizer, da der Hauptgrund für
die Entwicklung dieser Djangoapp die neue Schweizer QR-Rechnung ist.

Diverse Infos über den KMUHelper gibt's auf der [Webseite](https://rafaelurben.github.io/kmuhelper/) sowie in der [Dokumentation](https://rafaelurben.github.io/django-kmuhelper/)

## Änderungen und Feedback

Die neusten Änderungen können im [Änderungsprotokoll](https://github.com/rafaelurben/django-kmuhelper/releases) angesehen werden.

- [Diskussionen](https://github.com/rafaelurben/django-kmuhelper/discussions) - Fragen und Ideen
- [Issues](https://github.com/rafaelurben/django-kmuhelper/issues) - Bugs und Feature requests
- [Kontakt](mailto:kmuhelper@rafaelurben.ch) - Dringende Anfragen und Sicherheitslücken

Geplante Änderungen und aktuelle Programmierfortschritte können im [Projekt-Board](https://github.com/users/rafaelurben/projects/5/) gefunden werden.

## Installation

Siehe [hier](https://rafaelurben.github.io/django-kmuhelper/installation).

## Sprache und Übersetzungen

Der KMUHelper selbst ist aktuell nur in Deutsch verfügbar. Eine übersetzte Version ist in Arbeit.

Die Rechnungen können schon jetzt in Deutsch, Englisch, Französisch und Italienisch erstellt werden.
host-inspector 0.2.4
A simple python package to gather host information from Windows, Mac and Linux. Returns host data as dicts to be used internally or sent to front-end dashboard applications as JSON.
Requires Python: >=3.10

# Host Info

![Coverage](https://img.shields.io/badge/coverage-99%25-brightgreen)

## Overview

A simple python package to gather host information from Windows, Mac and Linux. Returns host data as dicts to be used internally or sent to front-end dashboard applications as JSON.

## Installation

Install Host Info:

```bash
uv add host-inspector
# via pip
python3 -m pip install host-inspector
```

## Development

To get a list of all commands with descriptions simply run `make`.

```bash
make env
make pip_install_editable
```

## Testing

```bash
make pytest
make coverage
make open_coverage
```

## Issues

If you experience any issues, please create an [issue](https://bitbucket.org/xstudios/host-inspector/issues).

## Example Usage

```python
from host_inspector import get_device_info
from host_inspector import get_health_info

print(get_device_info())
print(get_health_info())

# You can also call individual methods:
from host_inspector import get_cpu_info
from host_inspector import get_datetime_info
from host_inspector import get_disk_info
from host_inspector import get_gpu_info
from host_inspector import get_mem_info
from host_inspector import get_network_info
from host_inspector import get_os_info
from host_inspector import get_platform_info
from host_inspector import get_uptime_info
```

## Use with Caution!

To access system services we need to allow passwordless use of specific executables. You should know the security implications of doing this so **use at your own risk**.

### Linux

Use `sudo visudo` to add the following lines:

```ini
%sudo ALL=(ALL) NOPASSWD: /usr/sbin/ufw
%sudo ALL=(ALL) NOPASSWD: /usr/sbin/dmidecode
```

Save and exit the file (`:wq!`). Then do:

# History

All notable changes to this project will be documented in this file. This project adheres to [Semantic Versioning](http://semver.org/).

## 0.2.4 (2025-11-21)

- CHANGED: Firewall rule `enabled` will always be a boolean rather than YES/NO on Windows for consistency.
- ADDED: Added tox and tox-uv for testing against multiple versions of python

## 0.2.3 (2025-10-07)

- CHANGED: Ensure tests pass on Ubuntu (not all data available - yet)

## 0.2.2 (2025-09-25)

- CHANGED: Standardize date/time formatting for device `uptime` and `local_datetime`

## 0.2.1 (2025-09-23)

- ADDED: Support for getting Linux Firewall status and rules using `ufw`.

## 0.2.0 (2025-09-09)

- CHANGED: `get_device_info` now returns a `displays` key which is a list of connected displays
- CHANGED: `get_gpu_info` now returns a list of dicts (one for each GPU)
- ADDED: `get_display_info` returns a list of dicts (one for each display)
- CHANGED: For backawards compatability, when calling `get_device_info`, the `gpu` key will be an object if only one GPU detected.

## 0.1.1 (2025-09-04)

- ADDED: Support for getting Windows Firewall status and rules

## 0.1.0 (2025-08-06)

- First release
ol-openedx-lti-utilities 0.1.2
An Open edX plugin to add utilities for LTI operations
Requires Python: >=3.11

LTI Utilities Plugin
=============================

A django app plugin to add LTI related utilities in Open edX platform.


Installation
------------

For detailed installation instructions, please refer to the `plugin installation guide <../../docs#installation-guide>`_.

Installation required in:

* LMS

How To Use
----------

**API Request**

To manually call the API, Send a POST request to ``<LMS_BASE>/lti-user-fix/`` with a JSON body containing the following field:
 - ``email``: The email address of the user whose LTI account needs to be fixed.

A sample request looks like below:

::

    POST: http://local.openedx.io:8000/api/lti-user-fix/

    Payload:
    {
        "email": "user@example.com"
    }


API Response
------------

The successful response would be an indication that an LTI user in bad state was found and fixed. The response status code would be 200.
world-machine-experiments 0.2
Experiments of the World Machine project, that investigates the concept and creation of computational world models
Requires Python: >=3.10

[![](https://img.shields.io/pypi/v/world_machine_experiments?style=for-the-badge)](https://pypi.org/project/world_machine_experiments) [![](https://img.shields.io/pypi/l/world_machine_experiments?style=for-the-badge)](https://github.com/H-IAAC/WorldMachine/blob/main/LICENSE) [![](https://img.shields.io/badge/GitHub-100000?style=for-the-badge&logo=github&logoColor=white)](https://github.com/H-IAAC/WorldMachine) [![](https://img.shields.io/badge/-Documentation-fe9c22?style=for-the-badge&link=https%3A%2F%2Fh-iaac.github.io%WorldMachine%2F)](https://h-iaac.github.io/WorldMachine) [![](https://img.shields.io/badge/DOI-10.5281/zenodo.DOIAQUI-1082c3?style=for-the-badge)](https://doi.org/10.5281/zenodo.DOIAQUI)


# World Machine Experiments

Here are the experiments conducted in the World Machine project. For more information on each specific experiment, see our [reports](https://h-iaac.github.io/WorldMachine/reports/index.html).

World Machine is a research project that investigates the concept and creation of computational world models. These AI systems create internal representations to understand and make predictions about the external world. See the [project page](https://h-iaac.github.io/WorldMachine/) for more information. The project is part of the [H.IAAC](https://hiaac.unicamp.br/en/), the Hub for Artificial Intelligence and Cognitive Architecture, located at the Universidade Estadual de Campinas (UNICAMP), Brazil.

## Structure

- src: _world_machine_experiments_ source code.
- reports: source of the experiment reports.

## Installation / Usage

- Installing using pip:

    ```bash
    pip install --upgrade pip
    pip install world_machine_experiments
    ```

- For installing from the repository:

    ```bash
    git clone https://github.com/H-IAAC/WorldMachine
    cd WorldMachine/experiments
    pip install --upgrade pip
    pip install .
    ```

See the [report](https://h-iaac.github.io/WorldMachine/reports/index.html) of the experiment you wish to reproduce, for more information on how to perform it.


## Authors
  
- (2025-) Elton Cardoso do Nascimento: M. Eng. student, FEEC-UNICAMP
- (Advisor, 2025-) Paula Dornhofer Paro Costa: Professor, FEEC-UNICAMP
  
## Acknowledgements


Project supported by the brazilian Ministry of Science, Technology and Innovations, with resources from Law No. 8,248, of October 23, 1991