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JupyterLab and Jupyter Notebooks
CloudQuant uses JuypterLab and Jupyter Notebooks in all of our data science projects. We find that this popular python environment with the standard and extended packages allow our internal and external quantitative analysts to create and share research that includes python code, equations, visualizations and research text. Our new CloudQuant.AI environment which is only available for internal users is built on JupyterLab. Watch for announcements from CloudQuant as we plan on opening this platform with our market data, fundamental data, and news/sentiment Alternative Datasets for registered crowd researchers.
The Jupyter Project is an open source project and can be found at http://jupyter.org/