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openad-toolkit
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Open Accelerated Discovery Toolkit
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<!-- autogenerated:notice --> <!-- Attention --------- One or more descriptions in this file have been auto-generated by the generate_docs() script in @openad-website/generator. For more info: https://github.com/acceleratedscience/openad-website/tree/generator --> <!-- /autogenerated:notice --> <img src="assets/molecule-header.jpg" width="830" alt="OpenAD" /> # OpenAD **Open Source Molecular & Materials Research Toolkit** [](https://pypi.org/project/openad/) [](https://pypi.org/project/openad/) [](https://opensource.org/licenses/MIT) [](https://github.com/psf/black) <!-- autogenerated:description --> OpenAD is an intuitive toolkit that simplifies access to a variety of AI models and services for scientific discovery. Together with its convenient visualisation capabilities, OpenAD empowers scientists across industries to enhance their discovery process. OpenAD is designed to integrate into your existing workflows via Jupyter Notebook, CLI or API, using a low-code approach to accelerate your research. <!-- /autogenerated:description --> [](https://openad.accelerate.science) [](https://openad.accelerate.science/docs/getting-started) [](https://openad.accelerate.science/blog/category/tutorials) <!-- [](https://openad.accelerate.science/docs/installation) --> <br><br> ## Quick Install > [!TIP] > To install OpenAD inside a virtual environment, please consult the [Installation](https://openad.accelerate.science/docs/installation) guide. pip install openad openad Get started with Jupyter Notebook examples: init_magic init_examples jupyter lab ~/openad_notebooks/Table_of_Contents.ipynb If you get an error when running `init_magic`, you may first need to setup the default iPython profile for magic commands. ipython profile create <br><br> ## Release Notes `0.7.5` - We have retired the RXN and Deep Search toolkits and replaced them with new and more user-friendly [plugins](README/plugins.md).
