Spencer Tom Tafadzwa Chirume's Projects
The Darwin Platform Library (mirror)
Analytical Web Apps for Python & R. No JavaScript Required.
Dashboard for communities: what's up, who's here and what are they working on. Designed for use at the Open Knowledge Foundation.
General-purpose web UI for Kubernetes clusters
A simple set of tools to scrape recent project activity for a dashboard
Analyze results from dat-science.
Peer to peer data sharing app built for humans
As sweet as any harmony.
Data and code behind the stories and interactives at FiveThirtyEight
Data Catalog Specification (Schema and Protocol)
A Wired Sensing Suite for Data Center Climate Monitoring
Service consuming data-converters
a curated list of docker-compose files prepared for testing data engineering tools, databases and open source libraries.
Collection of useful data science topics along with code and articles
Data Science at the Command Line
code for Data Science From Scratch book
Cheatsheets, iconographics, atricles etc. to widen your knowlege in DS field
This is a DS cheatsheet py script which generates c/c++
The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
Website code and issue / ideas tracker for Frictionless Data project
Data structures that allow missing values
Strategies for cleaning databases in Ruby. Can be used to ensure a clean state for testing.
Realtime application framework for Node.JS, with HTML5 WebRTC and Socket.io
Python library and command line tool for converting data from one format to another
Crowd-sourcing digitization of data
Various Code samples for helping you get started with DataDirect connectivity products
View, visualize, clean and process data in the browser.
Metaprogramming tools for DataFrames
[Deprecated - this project is inactive] The data hub is a place where you can share data and collaborate on data projects.