best-of-ml-python
dtale
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best-of-ml-python | dtale | |
---|---|---|
16 | 46 | |
15,208 | 4,506 | |
1.3% | 2.0% | |
7.9 | 8.5 | |
7 days ago | 12 days ago | |
Python | TypeScript | |
Creative Commons Attribution Share Alike 4.0 | GNU Lesser 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.
best-of-ml-python
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Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
- ๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
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best-of-python: A ranked list of awesome Python libraries and tools
Here ya go: https://github.com/ml-tooling/best-of-ml-python/pull/47
It's included, but on the machine learning list here: https://github.com/ml-tooling/best-of-ml-python#data-containers--structures which is linked a few times on the python list.
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[P] best-of-ml-python: A ranked list of awesome machine learning Python libraries
best-of-ml-python: Python libraries for machine learning.
dtale
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I need help lol
D-Tale: A Python library that provides an interactive web-based interface for data exploration and analysis.
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Something better than pandas? with interactive graphical UI?
Try this: https://github.com/man-group/dtale
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Mito โ Excel-like interface for Pandas dataframes in Jupyter notebook
https://github.com/man-group/dtale
I find that I'm actually a lot faster using basic Pandas methods to get the data I want in exactly the form I want it.
If I really want to show everything, I just use:
'''
- Memray is a memory profiler for Python by Bloomberg
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For all the python/pandas users out there I just released a bunch of UI updates to the free visualizer, D-Tale
Here is the list of direct dependencies. I think the majority of the packages I'm using are pretty well-known. Maybe some of the plotly dash packages are aren't as well known (like dash-colorscales) and then some calculation-based packages (squarify, ppscore, missingno) might not be widely used. But as far as I can tell they are harmless. We used D-Tale at my company in an enterprise-style way through jupyterhub.
Hope these help & please support open-source by throwing your star on the repo.
Mostly reliant on pandas since this is a tool specifically designed for pandas. That being said it would be really easy for you to write a simple DB loader to that takes any SQL and returns the results in a pandas dataframe and just pass that to D-Tale. Its actually pretty easy to integrate D-Tale into your own flask/django/streamlit apps. Heres documentation about using it in Flask: https://github.com/man-group/dtale/blob/master/docs/EMBEDDED_FLASK.md
The jupyterhub-server-proxy plugin works great with it. Here's some documentation on how to use it: https://github.com/man-group/dtale#jupyterhub-w-jupyter-server-proxy
These are the most engrossing UI changes I've made in a while so please let me know if you run into any issues. You can play around with them on the demo site (please note that the "Github Fork" link covers the close button for the "sliding side panel" but you can close it using your ESC key). If these changes prove to be easier to use then I can start moving more functionality towards the "sliding side panel" rather than the old popup windows/tabs.
Your data is stored in memory so the size of your dataframe is limited to the memory of your machine. That being said weโve allowed users to swap out the machanism which stores the data so you can use something like Redis or Shelve to allieviate memory. Hereโs some documentation: https://github.com/man-group/dtale/blob/master/docs/GLOBAL_STATE.md
What are some alternatives?
PandasGUI - A GUI for Pandas DataFrames
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
jupyterlab-autoplot - Magical Plotting in JupyterLab
pandastable - Table analysis in Tkinter using pandas DataFrames.
sqliteviz - Instant offline SQL-powered data visualisation in your browser
Awesome-WAF - ๐ฅ Web-application firewalls (WAFs) from security standpoint.
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
ffcv - FFCV: Fast Forward Computer Vision (and other ML workloads!)
dtale-desktop - Build a data visualization dashboard with simple snippets of python code
siuba - Python library for using dplyr like syntax with pandas and SQL
qgrid - An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.