covid-globe VS COVID-19

Compare covid-globe vs COVID-19 and see what are their differences.

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covid-globe COVID-19
1 217
5 29,292
- -
2.0 9.3
10 months ago about 1 year ago
JavaScript
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

covid-globe

Posts with mentions or reviews of covid-globe. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-01.

COVID-19

Posts with mentions or reviews of COVID-19. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-06.

What are some alternatives?

When comparing covid-globe and COVID-19 you can also consider the following projects:

matsim-episim - Epidemic simulation for MATSim

covid-19-the-economist-global-excess-deaths-model - The Economist's model to estimate excess deaths to the covid-19 pandemic

covid-19-excess-deaths-tracker - Source code and data for The Economist's covid-19 excess deaths tracker

objectscript-docker-template - Template project for InterSystems ObjectScript with InterSystems IRIS community Edition docker container

foundation - GraphQL Foundation Charter and Legal Documents

coronavirus-dashboard - Dashboard for tracking Coronavirus (COVID-19) across the UK

covid-19 - analytics for covid-19 built with InterSystems IRIS

USA-covid-policy - Systematic dataset of US sub-national Covid-19 policy data

python-bigquery

covid-policy-tracker - Systematic dataset of Covid-19 policy, from Oxford University

TrackingR - Python code for "Tracking R of COVID-19 A New Real-Time Estimation Using the Kalman Filter".

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more