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https://github.com/straussmaximilian/tasklit
A task scheduling app build on streamlit.
https://github.com/straussmaximilian/tasklit
cronjob gui scheduler streamlit workflow
Last synced: 3 months ago
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A task scheduling app build on streamlit.
- Host: GitHub
- URL: https://github.com/straussmaximilian/tasklit
- Owner: straussmaximilian
- License: apache-2.0
- Created: 2021-07-31T10:56:29.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-11-11T14:34:04.000Z (about 3 years ago)
- Last Synced: 2024-09-30T09:32:19.071Z (3 months ago)
- Topics: cronjob, gui, scheduler, streamlit, workflow
- Language: Python
- Homepage:
- Size: 11.8 MB
- Stars: 14
- Watchers: 3
- Forks: 2
- Open Issues: 2
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Metadata Files:
- Readme: README.md
- Changelog: changelog.md
- License: LICENSE
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README
[![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)
[![Downloads](https://pepy.tech/badge/tasklit)](https://pepy.tech/project/tasklit)# 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```