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GitHub identifies open source projects against Covid-19

Total contagions since the start of the epidemic, active contagions, healings and deaths. University of Washington.

While more than half of humanity is now confined, many projects have been launched to deal with this epidemic of unprecedented scale. Several are collaborative or open source (here, the distinction – inevitably recalled by some loyal readers commenters on 😉 – between Free and open source really makes sense, some being under free license but not all), and GitHub identifies a selection of over twenty.

Shared computing for research

Part of the open source datasets cited by GitHub are used to monitor the epidemic on a global scale, as in this table whose data come from the American University Johns Hopkins.

Other projects include research, such as Folding @ Home, which requires Internet users to share the computing power of their computers for various tasks, such as modeling protein molecules to develop drugs. On Wednesday March 25, the project team ad having passed the barrier of exaFLOP, more than one billion billion (10 power 18) of operations per second, “which makes us 10 times faster than the IBM Summit”.

Another example of open source research (which is based on free software here), Nextstrain, which studies the genome of pathogens, and is obviously currently working particularly on Covid-19.

A map of the epidemic in Italy, with the total number of infected people currently, and the number of deaths.

Several communities share local data on the coronavirus: Italy (populating this table), the metropolitan areas of Zurich and Tokyo – information on the state of contamination on the spot – and a community project for Wuhan (it is in Chinese and I do not not know which group is contributing to it, but it is necessarily an initiative outside the official circuits, given the opacity, if not lies, on the state of the epidemic in China).

Several sites listed by GitHub allow to visualize data, like this one where we see the evolution – impressive – of the curves of contamination, healings and deaths (graphic at the top of this post). Finally, the list even cites a material, in this case a low-cost respirator.

Read also

How open source copes with the COVID-19 crisis – March 18, 2020

Coronavirus: Wikipedia article epidemic – March 15, 2020

Coronavirus: a tool to follow its evolution in real time – March 12, 2020

At the North Pole, GitHub will store open source software for a thousand years (minimum) – November 17, 2019

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