best-of-generator
ydata-profiling
| best-of-generator | ydata-profiling | |
|---|---|---|
| 3 | 43 | |
| 62 | 12,053 | |
| - | 0.9% | |
| 1.9 | 8.5 | |
| 21 days ago | 9 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
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.
ydata-profiling
- FLaNK 25 December 2023
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First 15 Open Source Advent projects
6. Ydata-synthetic and Ydata-profiling by YData | Github | tutorial
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Coding Wonderland: Contribute to YData Profiling and YData Synthetic in this Advent of Code
Send us your North ⭐️: "On the first day of Christmas, my true contributor gave to me..." a star in my GitHub tree! 🎵 If you love these projects too, star ydata-profiling or ydata-synthetic and let your friends know why you love it so much!
- Data exploration is not dead
- Explore your data in a single line of code
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Which preprocessing steps to improve the performance of a naive bayes classifier
My suggestion start with the EDA - there are a lot of packages that automate that for you already. My usual go-to: https://github.com/ydataai/ydata-profiling.
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Simulating sales data
If you're not sure about the behaviour of your data (i.e., if the original data has properties like seasonality), you can use ydata-profiling to profile your data first.
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I recorded a Data Science Project using Python and uploaded it on Youtube
Super cool! For EDA, you could give ydata-profiling a spin sometime and speed up the process!
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Ydata-Profiling and Dask
Hey guys,
We've been recently at the Dask Demo Day and we're hoping to launch a new feature on ydata-profiling, with the support for Dask dataframes!
We're looking for Dask Wizards to start collaborating on this feature, so if you're interested, please join us to define the roadmap of the project and start making it real
Current GitHub branch is here: https://github.com/ydataai/ydata-profiling/tree/feat/dask
Dedicated dask channel here: https://discord.gg/EHDBuSSDuy
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🧠 ydata-profiling + Dask!
We're looking for Dask Wizards 🧙🏻♂️ to start collaborating on this branch, so if you're interested, please join us to define the roadmap of the project and start making it real 🚀
What are some alternatives?
dtale - Visualizer for pandas data structures
best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
pywsitest - PYthon WebSocket Integration TESTing framework
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
best-of-jupyter - 🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
ubelt - A Python utility library with a stdlib like feel and extra batteries. Paths, Progress, Dicts, Downloads, Caching, Hashing: ubelt makes it easy!
get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
best-of-python - 🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b