ohayo
dtale
ohayo | dtale | |
---|---|---|
4 | 46 | |
127 | 4,560 | |
0.0% | 1.0% | |
2.1 | 8.1 | |
11 months ago | 8 days ago | |
JavaScript | TypeScript | |
- | 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.
ohayo
- Ohayo โ A free, fast, public domain data science studio
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Show HN: A Visual UI to Hacker News
So if I understand correctly this is using HN as example data for a more general online tool:
> Ohayo is a fast and free tool for data science. Ohayo consists of a very high level programming language and a visual web studio for that language. The goal of Ohayo is to enable people to do data science at the speed of voice.
https://github.com/breck7/ohayo
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Show HN: Ohayo v1 (2017)
> Maybe because the landing page video is not available due to copyright claim.
Ugh! Sorry, I can't believe they took that video down!
Here is the latest version: https://ohayo.computer/ (https://github.com/breck7/ohayo). We will be bringing it up to date shortly.
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Show HN: Data Science at the Speed of Voice
Beta here: https://ohayo.computer/
Source code here: https://github.com/treenotation/ohayo
I switched to a non-profit last year during COVID and haven't done any major updates recently but slowly moving it back to the front burner.
If anyone is interested in this sort of thing and is perhaps interested in taking a leadership role please feel free to reach out!
dtale
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The free pandas visualizer, D-Tale, has now been integrated with ArcticDB which will allow users to load huge datasets and easily navigate their databases
[D-Tale](https://github.com/man-group/dtale) has recently released version 3.2.0 on pypi & conda-forge: ``` pip install -U dtale conda install dtale -c conda-forge ``` But if you want to take it one step further you can now integrate it with [ArcticDB](https://github.com/man-group/ArcticDB): ``` pip install -U dtale[arcticdb] ``` This allows you the ability to navigate your libraries of datasets saved to your ArcticDB database! But the best part is that all the reads are occuring directly against ArcticDB so some of the memory constraints you may have been hit with before are now a thing of the past. Here's a full write up how to use this functionality along with a quick demo: https://github.com/man-group/dtale/blob/master/docs/arcticdb/ARCTICDB\_INTEGRATION.md Hope this helps & please support open-source by throwing your star on the [repo](https://github.com/man-group/dtale). Thanks! ๐
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Data Scientists using neovim: how do you explore dataframes?
I've looked into external tooling, libs such as dtale, which feel overly complicated for my use case (but I'm open to alternatives). What I would like to have instead is something akin to Spyder's variable viewer, which allows sorting by column. VSCode goes a step further and also provides the ability to filter the dataframe.
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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
- Show HN: D-Tale, easy to use pandas GUI
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Added visualizations of statsmodels time series analysis functions to the free pandas visualizer, D-Tale
Just added "Time Series Analysis" in v1.60.1 of D-Tale on pypi & conda-forge: pip install -U dtale conda install dtale -c conda-forge This feature provides a quick and easy way to visualize the usage of the following time series analysis function in statsmodels:
- Show HN: Open-source pandas dataframe visualizer
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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
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?
zebras - Data analysis library for JavaScript built with Ramda
PandasGUI - A GUI for Pandas DataFrames
SanKEY.js - A JavaScript library for visualizing huge Sankey diagrams.
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Data-Science-For-Beginners - 10 Weeks, 20 Lessons, Data Science for All!
jupyterlab-autoplot - Magical Plotting in JupyterLab
mito - The mitosheet package, trymito.io, and other public Mito code.
pandastable - Table analysis in Tkinter using pandas DataFrames.
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
sqliteviz - Instant offline SQL-powered data visualisation in your browser
JSON-community-connector - JSON connect
best-of-ml-python - ๐ A ranked list of awesome machine learning Python libraries. Updated weekly.