ubelt
best-of-generator
ubelt | best-of-generator | |
---|---|---|
7 | 3 | |
711 | 62 | |
- | - | |
8.3 | 1.9 | |
7 days ago | 21 days 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.
ubelt
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Python libs that I wish were part of the standard library
I can't give you a stdlib, but I can give you a package with a lot of the basic functionality but still small enough that it installs quickly and has negligable overhead. The ubelt library is a set of 100ish utility functions and classes. It's similar to boltons, but I suppose it reflects a different perspective on what's useful.
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How do you feel about vendored packages?
Number 3 is the one I feel most conflicted about. Specifically, I tout my ubelt library as having 0 required dependencies. However, it vendors two libraries: progiter and orderedset. The first of which I also maintain and the second of which I don't maintain, but have contributed to. It feels odd to have a single dependency for a library that would otherwise have zero. But at the same time it feels odd to maintain that code myself. Also if I didn't vendor it, it would not be included in the documentation, so there is that. I've recently been thinking I should split ubelt up into many smaller packages and then use ubelt as a "hub" to include them all. However, that's a lot more work than just maintaining one (still quite small) package, and I think having everything broken up with incur a lot of overhead at pip install time, so I'm very conflicted on the whole subject.
- Useful helper libraries
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Python projects with best practices on Github?
I'm fairly happy with my ubelt library.
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[D] What is some cool python magic(s) that you've learned over the years?
The ubelt.util_platform module is a good example of including references to similar functionality.
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
I also have a utility library ubelt with 552 stars and 6.9k downloads / month.
best-of-generator
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best-of-python: A ranked list of awesome Python libraries and tools
btw. If you like to keep track on how we might implement your suggestion, you can also open an issue here with your suggestions: https://github.com/best-of-lists/best-of-generator/issues/new/choose
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
Good point. Our goal is actually to get to an automated scoring system that can reflect not just popularity, but also lots of other qualitative factors for libraries. With our initial release, we are already taking many different factors into account, not only stars: https://github.com/best-of-lists/best-of-generator#project-quality-score . But there is a lot to improve, and we are working on an improved version of the calculation.
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Top 5 Model Interpretability Libraries for Python
Welcome to the post about the Top 5 Python ML Model Interpretability libraries! You ask yourself how we selected the libraries? Well, we took them from our Best of Machine Learning with Python list. All libraries on this best-of list are automatically ranked by a quality score based on a variety of metrics, such as GitHub stars, code activity, used license and other factors. You can find more details in the best-of-generator repo.
What are some alternatives?
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best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
best-of-python - 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
pywsitest - PYthon WebSocket Integration TESTing framework
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