ydata-profiling
yq
| ydata-profiling | yq | |
|---|---|---|
| 43 | 66 | |
| 12,053 | 10,840 | |
| 0.9% | - | |
| 8.5 | 9.2 | |
| 10 days ago | 1 day ago | |
| Python | Go | |
| MIT License | 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.
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 🚀
yq
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Show HN: Flatito, grep for YAML and JSON files
What I often use to just get the full key paths is yq (https://github.com/mikefarah/yq), piping into grep when necessary
yq -o=props - K8s Service Meshes: The Bill Comes Due
- Using facts and the GitHub API in Ansible
- FLaNK 25 December 2023
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Command line tools I always install on Ubuntu servers
For more information about this command visit https://github.com/mikefarah/yq
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Runtime error with plugin that uses io.popen to run executable during plugin startup
I've been trying to install and config a plugin (papis.nvim) for a couple of days and am having issues with a function that uses io.popen to run yq to convert yaml files to json. I know my install of yq is fine- I can run yq -oj info.yaml from the command line with no issue and it produces the correct json output. I know the function can find the yq executable, but it returns nil. I've saved the error from the yq golang code: panic: runtime error: invalid memory address or nil pointer dereference
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Jaq – A jq clone focused on correctness, speed, and simplicity
- yq has no if-then-else https://github.com/mikefarah/yq/issues/95 which is a poor design (or omission) in my opinion
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HTTPie Desktop: cross-platform API testing client for humans
After which, I use openapi-generator to make a yaml output.
https://gist.github.com/freshteapot/3637e8d2b5ecdf01b7d25246...
- yq version 3.4.1 (Worth noting, the example uses an out of date yq, so a few modifictaions might be needed)
https://github.com/mikefarah/yq
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jq 1.7
For those pining for a similar yaml query tool for working through acres of config: https://github.com/mikefarah/yq
jq is awesome and thanks to the new team for their recent efforts and energy, it massively appreciated.
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That's a Lot of YAML
For anyone looking for such a script, there's some CLIs that make it easy. One is `yq -o props` [1], another way is to use `yq -j` or `yj` [2] to convert to JSON and pipe it to `gron` [3].
[1] https://github.com/mikefarah/yq
[2] https://github.com/sclevine/yj
[3] https://github.com/tomnomnom/gron
What are some alternatives?
dtale - Visualizer for pandas data structures
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
DataProfiler - What's in your data? Extract schema, statistics and entities from datasets
jq - Command-line JSON processor [Moved to: https://github.com/jqlang/jq]
dataframe-go - DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
yaml.nvim - 🍒 YAML toolkit for Neovim users
lux - Automatically visualize your pandas dataframe via a single print! 📊 💡
csvq - SQL-like query language for csv
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.
oq - A performant, and portable jq wrapper to facilitate the consumption and output of formats other than JSON; using jq filters to transform the data.
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
miller - Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON