sweetviz
dtale-desktop
Our great sponsors
| sweetviz | dtale-desktop | |
|---|---|---|
| 1 | 7 | |
| 2,837 | 156 | |
| - | - | |
| 6.7 | 2.6 | |
| 5 months ago | about 3 years ago | |
| Python | Python | |
| MIT License | MIT License |
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sweetviz
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Automated Data Profiling and Attribute Clustering using unsupervised ML techniques
Take a look at this package which computes associations between variables and other viz and can infer some types https://github.com/fbdesignpro/sweetviz
dtale-desktop
- I made a data dashboard web app which you can interactively build by writing python code IN the dashboard. It's available as a python package, and contributors are very welcome! (and I actually need some)
- I made a data dashboard web app which you can interactively build by writing python code IN the dashboard. It's available as a python package, and contributors are welcome!
- Show HN: Dtaledesktop – organize your Python scripts into a data viz dashboard
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Hi pandas lovers - I released a package for easily converting your python scripts into data visualization dashboards (dtale/fastapi/react)
It can be run both locally and as a web service -- the demo site is actually running on a kubernetes cluster. When run as a web service, it uses websocket connections to push real-time updates, ensuring that all connected users see the same thing. There are a large number of settings which can be used to configure exactly how it behaves, documented [here](https://github.com/phillipdupuis/dtale-desktop#settings).
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If you use python/pandas/dtale for analysis, I released a free and open-source GUI for organizing your random python scripts into a data visualization dashboard
Also, if you want to you can run it as a web service -- the demo site is actually running on a kubernetes cluster. When run as a web service, it uses websocket connections to push real-time updates, ensuring that all connected users see the same thing. There are a large number of settings which can be used to configure exactly how it behaves, documented here.
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Need Help to understand importlib module
Inspiration taken from here: https://github.com/phillipdupuis/dtale-desktop/blob/master/dtale_desktop/source_code_tools.py#L20, in that case it's being used to execute text users write in a web browser as python code (text sent to server > server writes it to tempfile, turns the tempfile into a module, executes the code in the module, sends the result of executing that code back)
What are some alternatives?
dataprep - Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
dtale - Visualizer for pandas data structures
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
jupyterlab-autoplot - Magical Plotting in JupyterLab
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
popmon - Monitor the stability of a Pandas or Spark dataframe ⚙︎
chord - Engaging visualisations, made easy.
mlgauge - A simple library to benchmark the performance of machine learning methods across different datasets.
hyperglass - hyperglass is the network looking glass that tries to make the internet better.
lux - 👾 Fast and simple video download library and CLI tool written in Go
Numba - NumPy aware dynamic Python compiler using LLVM