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accelerationconsortium

Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.

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Software by accelerationconsortium

ac-dev-lab
Open Source

ac-dev-lab

[![Project generated with PyScaffold](https://img.shields.io/badge/-PyScaffold-005CA0?logo=pyscaffold)](https://pyscaffold.org/) [![ReadTheDocs](https://readthedocs.org/projects/ac-training-lab/badge/?version=latest)](https://ac-training-lab.readthedocs.io/en/stable/) [![tests](https://github.com/AccelerationConsortium/ac-training-lab/actions/workflows/ci.yml/badge.svg)](https://github.com/AccelerationConsortium/ac-training-lab/actions/workflows/ci.yml) [![GitHub issues](https://img.shields.io/github/issues/AccelerationConsortium/ac-training-lab)](https://github.com/AccelerationConsortium/ac-training-lab/issues) [![GitHub Discussions](https://img.shields.io/github/discussions/AccelerationConsortium/ac-training-lab)](https://github.com/AccelerationConsortium/ac-training-lab/discussions) [![Last Committed](https://img.shields.io/github/last-commit/AccelerationConsortium/ac-training-lab)](https://github.com/AccelerationConsortium/ac-training-lab/commits/main/) <!-- These are examples of badges you might also want to add to your README. Update the URLs accordingly. [![Built Status](https://api.cirrus-ci.com/github/<USER>/ac-training-lab.svg?branch=main)](https://cirrus-ci.com/github/<USER>/ac-training-lab) [![Coveralls](https://img.shields.io/coveralls/github/<USER>/ac-training-lab/main.svg)](https://coveralls.io/r/<USER>/ac-training-lab) [![PyPI-Server](https://img.shields.io/pypi/v/ac-training-lab.svg)](https://pypi.org/project/ac-training-lab/) [![Conda-Forge](https://img.shields.io/conda/vn/conda-forge/ac-training-lab.svg)](https://anaconda.org/conda-forge/ac-training-lab) [![Monthly Downloads](https://pepy.tech/badge/ac-training-lab/month)](https://pepy.tech/project/ac-training-lab) [![Twitter](https://img.shields.io/twitter/url/http/shields.io.svg?style=social&label=Twitter)](https://twitter.com/ac-training-lab) --> # AC Training Lab > Codebase for controlling and managing the [Acceleration > Consortium](https://github.com/AccelerationConsortium) (AC) Training Lab. The AC Training Lab is meant to be a remotely accessible facility that will house a diverse set of physical hardware for self-driving laboratories (SDLs) including liquid handlers, solid dispensers, Cartesian-axis systems, mobile robotic arms, and synthesis and characterization modules. Where possible, both educational and research-grade hardware will be included. The AC Training Lab will be used to develop and test SDLs, and to provide a platform for training students and researchers in the use of SDLs. This repository also acts as an example of setting up an autonomous laboratory. Please navigate to the [home page](https://ac-training-lab.readthedocs.io/) for more information. <!-- If that doesn't work or takes too long: ```bash conda create -n ac-training-lab python==3.11.* ipython pip conda activate ac-training-lab pip install -e . ``` --> <!-- pyscaffold-notes --> ## Note This project has been set up using [PyScaffold] 4.5 and the [dsproject extension] 0.7.2. [conda]: https://docs.conda.io/ [pre-commit]: https://pre-commit.com/ [Jupyter]: https://jupyter.org/ [nbstripout]: https://github.com/kynan/nbstripout [Google style]: http://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings [PyScaffold]: https://pyscaffold.org/ [dsproject extension]: https://github.com/pyscaffold/pyscaffoldext-dsproject

IoT & Embedded Workflow Automation
18 Github Stars