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Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production
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Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production (2021)Pangeo Forge: Crowdsourcing Analysis-Read…Cloud-Native Repositories for Big Scientific Data (2021)Cloud-Native Repositories for…Why Jupyter is data scientists’ computational notebook of choice (2018)Why Jupyter is data scientist…Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)Jupyter Notebooks – a publish…The Jupyter/IPython architecture: a unified view of computational research, from interactive exploration to communication and publication. (2014)The Jupyter/IPython architect…Open science challenges, benefits and tips in early career and beyond (2019)The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2020 update (2020)NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)Methods for enhancing the reproducibility of biomedical research findings using electronic health records (2017)The GenePattern Notebook Environment (2017)Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology (2018)Materials Cloud, a platform for open computational science (2020)Appyters: Turning Jupyter Notebooks into data-driven web apps (2021)The five pillars of computational reproducibility: bioinformatics and beyond (2023)Science Storms the Cloud (2021)Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production (2022)CyVerse: Cyberinfrastructure for open science (2024)
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References

  • 2016Jupyter Notebooks – a publishing format for reproducible computational workflows3,069 cited
  • 2018Why Jupyter is data scientists’ computational notebook of choice354 cited
  • 2021Cloud-Native Repositories for Big Scientific Data127 cited
  • 2014The Jupyter/IPython architecture: a unified view of computational research, from interactive exploration to communication and publication.79 cited

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