xdoctest
best-of-generator
xdoctest | best-of-generator | |
---|---|---|
3 | 3 | |
203 | 62 | |
- | - | |
8.0 | 1.9 | |
3 months ago | 20 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.
xdoctest
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disallow-import-star: stop your users from using import *
How would the pytest plugin work / what would it test for? I'm no stranger to writing pytest plugins, so if the idea seems like a natural fit for the package I'm all for it.
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If you could start your Python journey over with what you know know what practices would you force your past self to implement?
xdoctest and writing doctests whenever possible
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
I have a testing library xdoctest with 87 stars and 20k downloads / month that was featured in PyCon2020
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?
best-of-web-python - 🏆 A ranked list of awesome python libraries for web development. Updated weekly.
dtale - Visualizer for pandas data structures
best-of-python-dev - 🏆 A ranked list of awesome python developer tools and libraries. Updated weekly.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
pywsitest - PYthon WebSocket Integration TESTing framework
documented - Templated docstrings for Python classes
best-of-jupyter - 🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.