semvec/pypi-packages huggingface dataset:
statisfy 0.0.2
Get statistics from your favourite social media sites, games and more!
Keywords: python,stats,statisfy,statistics,api wrapper,analytics

![logo](https://i.imgur.com/AexZWB6.png)
![PyPI-Downloads](https://img.shields.io/pypi/dd/statisfy?style=for-the-badge)
![PyPI-License](https://img.shields.io/pypi/l/statisfy?style=for-the-badge)
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### Get statistics from all of your favourite social media sites, games and more!
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## Install 
```
$ python3 -m pip install -U statisfy
```
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## Problems or issues?

If you encounter any problems, bugs or other issues with the package, please create an [issue in the GitHub repo](https://github.com/aspekts/statisfynpm/issues). 

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## Contact
If you have any questions or just want to reach me, you can get in touch with me on my [Discord server](https://discord.gg/GxGTHBC).
tasklit 0.0.4
A task scheduling app build on streamlit.

[![codecov](https://codecov.io/gh/straussmaximilian/tasklit/branch/main/graph/badge.svg?token=BW3L9GQ7M1)](https://codecov.io/gh/straussmaximilian/tasklit)
![tests](https://github.com/straussmaximilian/tasklit/actions/workflows/run_unittests_and_linting.yml/badge.svg?branch=main)


# tasklit
A browser-based task scheduling app build on streamlit.
![Demo](assets/demo.gif)

## How to use?

Too lazy to write cronjobs? Working on a headless system and want to have a GUI?
`Tasklit` is a simple task scheduling application that allows you to schedule different processes via browser interface.

### Get started

* create an environment `conda create --name tasklit python=3.8`
* install with `pip install tasklit`
* run with `tasklit`
* visit the website (default is `http://localhost:8501` or network ip)
* Submit a new task. Example to run a test script on your desktop on a Mac system: `python \Users\username\Desktop\myscript.py`

For local development:
* Clone the repository locally: `git clone https://github.com/straussmaximilian/tasklit.git`
* install with `pip install .` or `pip install -e .` for the editable version
* for pinned requirments install the development-requirements: `pip install .[develop]`

## Limitations
* Only task execution, no logic based on return values

## Planned
* Notifications (Email, Slack, Teams)

## Acknowledgements
The PyPi workflow and installation routine is largely copied form the [AlphaTims](https://github.com/MannLabs/alphatims)- repository.

## Tests
* Run tests via
  ```coverage run -m unittest discover tests```
* Check test coverage via ```coverage report -m```