nebula
dtale
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nebula | dtale | |
---|---|---|
9 | 46 | |
149 | 4,506 | |
3.4% | 2.0% | |
7.4 | 8.5 | |
21 days ago | 12 days ago | |
C++ | TypeScript | |
Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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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.
nebula
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Streaming multi-file SQL and CSV/TSV/etc., native/WASM and fastest CSV parser
cool - I also hand crafted a CSV parser following RFC4180 a while ago, not sure if you have a repeatable way to benchmark the performance difference?
https://github.com/varchar-io/nebula/blob/master/src/storage...
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
best-of-ml-python - ๐ A ranked list of awesome machine learning Python libraries. Updated weekly.
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
Graphia - A visualisation tool for the creation and analysis of graphs
lux - Automatically visualize your pandas dataframe via a single print! ๐ ๐ก
mito - The mitosheet package, trymito.io, and other public Mito code.