covid19-sir
richkit
covid19-sir | richkit | |
---|---|---|
3 | 1 | |
108 | 12 | |
- | - | |
9.3 | 0.0 | |
4 days ago | 12 months ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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.
richkit
What are some alternatives?
COVID19_AgentBasedSimulation - COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions
PyFunceble - The tool to check the availability or syntax of domain, IP or URL.
zEpid - Epidemiology analysis package
stringlifier - Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.
deptry - Find unused, missing and transitive dependencies in a Python project.
py3-validate-email - Check if an email is valid with using SMTP, regexes and blacklists.This package has been migrated to https://gitea.ksol.io/karolyi/py3-validate-email
Epidemiology101 - Epidemic Modeling for Everyone
courlan - Clean, filter and sample URLs to optimize data collection – includes spam, content type and language filters
namekrea - NameKrea is an AI Domain Name Generator which uses GPT-2
News-Sense - A Streamlit app based on Python that fetches top news articles from the News API, generates a summary of each article using the OpenAI GPT-3 model, analyzes the sentiment of the article using the NLTK library, and classifies the article into different categories based on keywords.