Displaying 1 to 5 from 5 results

covid19-dashboard - A site that displays up to date COVID-19 stats, powered by fastpages.

  •    Jupyter

This project showcases how you can use fastpages to create a static dashboard that update regularly using Jupyter Notebooks. Using fastpages, data professionals can share dashboards (that are updated with new data automatically) without requiring any expertise in front end development. The content of this site shows statistics and reports regarding Covid-19.

scrapbook - A library for recording and reading data in notebooks.

  •    Python

THE scrapbook library records a notebook’s data values and generated visual content as "scraps". Recorded scraps can be read at a future time. Notebook users may wish to record data produced during a notebook's execution. This recorded data, scraps, can be used at a later time or passed in a workflow to another notebook as input.

bigdata-profiler - Profiles the data, validates the schema and runs data quality checks and produces a report

  •    Jupyter

This is a tool to profile your incoming data, check if it adheres to registered schema and do custom data quality checks. At the end of all this, a human readable report is autogenerated that can be sent over to stakeholders. can easily be extended to all the formats that Apache Spark supports for reads.

nbcelltests - Cell-by-cell testing for production Jupyter notebooks in JupyterLab

  •    Python

nbcelltests is designed for writing tests for linearly executed notebooks. Its primary use is for unit testing reports. To use in JupyterLab, you will also need the lab and server extensions. Typically, these are automatically installed alongside nbcelltests, so you should not need to do anything special to use them. The lab extension will require a rebuild of JupyterLab, which you'll be prompted to do on starting JupyterLab the first time after installing celltests (or you can do manually with jupyter lab build). Note that you must have node.js installed (as for any lab extension).




paperboy - A web frontend for scheduling Jupyter notebook reports

  •    Python

Paperboy is a production-grade application for scheduling reports. It has a flexible architecture and extensible APIs, and can integrate into a wide variety of deployments. It is composed of various industrial-strength technologies from the open source world. Paperboy requires Python and Node.js, which can be installed from conda-forge if conda is available.






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