covid19-sir
COVID19_AgentBasedSimulation
covid19-sir | COVID19_AgentBasedSimulation | |
---|---|---|
3 | 1 | |
108 | 80 | |
- | - | |
9.3 | 0.0 | |
5 days ago | over 1 year ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
covid19-sir
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Show HN: Deptry, a tool to check for dependency issues in a Python project
I have recently been working on a project called `deptry`, a command line tool to check for issues in the dependencies of Python projects. It can be used to find obsolete, missing, transitive and misplaced development dependencies. It supports the following types of projects:
- Projects that use Poetry and a corresponding pyproject.toml file
- Projects that use a requirements.txt file according to the pip standards
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* Documentation: https://fpgmaas.github.io/deptry/
* GitHub repository: https://github.com/fpgmaas/deptry
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I am quite happy with the project in its current form, but I also realise there is still a lot of room left for improvement. Therefore, I hope some people are willing to give it a try and provide me with feedback. So; if you have a project with a long list of dependencies and a little bit of spare time on your hands, please give it a try and let me know what you think!
If you encounter any issues, find a bug, or have any other form of feedback, please don't hesitate to raise an issue in the GitHub repository, or leave a comment here.
Kind regards,
Florian
P.S. Many thanks to Hirokazu Takaya (https://github.com/lisphilar) for incorporating it in the CI/CD pipeline of his project covid19-sir (https://github.com/lisphilar/covid19-sir). It provided me with very valuable early feedback.
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Deptry 0.4.4, a tool to check for dependency issues in a Python project
* [*GitHub repository*](https://github.com/fpgmaas/deptry)
I am quite happy with the project in its current form, but I also realise there is still a lot of room left for improvement. Therefore, I hope some people are willing to give it a try and provide me with feedback. So; if you have a project with a long list of dependencies and a little bit of spare time on your hands, please give it a try and let me know what you think!
If you encounter any issues, find a bug, or have any other form of feedback, please don't hesitate to raise an issue in the GitHub repository, or leave a comment here.
Kind regards,
Florian
P.S. Many thanks to [Hirokazu Takaya](https://github.com/lisphilar) for incorporating it in the CI/CD pipeline of his project [covid19-sir](https://github.com/lisphilar/covid19-sir). It provided me with very valuable early feedback.
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I recently released deptry; a utility to check your Poetry-managed Python projects for obsolete, transitive, missing and misplaced dependencies.
P.S. Many thanks to Hirokazu Takaya for incorporating it in the CI/CD pipeline of his project covid19-sir. It provided me with very valuable early feedback.
COVID19_AgentBasedSimulation
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Reinforcement learning on COVID-19 countermeasures
For the covid agent model I used COVID-ABS, the reward is taken from this paper and takes into account number of infected, deaths and the economy.
What are some alternatives?
richkit - Domain Enrichment Toolkit $ pip install richkit
mesa - Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
zEpid - Epidemiology analysis package
aml_project
deptry - Find unused, missing and transitive dependencies in a Python project.
covasim - COVID-19 Agent-based Simulator (Covasim): a model for exploring coronavirus dynamics and interventions
Epidemiology101 - Epidemic Modeling for Everyone
seirsplus - Models of SEIRS epidemic dynamics with extensions, including network-structured populations, testing, contact tracing, and social distancing.