jupyterlab-autoplot
Magical Plotting in JupyterLab (by man-group)
dtale-desktop
Build a data visualization dashboard with simple snippets of python code (by phillipdupuis)
jupyterlab-autoplot | dtale-desktop | |
---|---|---|
1 | 7 | |
63 | 156 | |
- | - | |
4.3 | 2.6 | |
12 months ago | about 3 years ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
jupyterlab-autoplot
Posts with mentions or reviews of jupyterlab-autoplot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-30.
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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
jupyterlab-autoplot, a jupyterlab extension which can automagically display timeseries data in dtale without you needing to lift a finger
dtale-desktop
Posts with mentions or reviews of dtale-desktop.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-02-06.
- 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?
When comparing jupyterlab-autoplot and dtale-desktop you can also consider the following projects:
dtale - Visualizer for pandas data structures
Numba - NumPy aware dynamic Python compiler using LLVM
sweetviz - Visualize and compare datasets, target values and associations, with one line of code.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
chord - Engaging visualisations, made easy.
hyperglass - hyperglass is the network looking glass that tries to make the internet better.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
vpselector - Visual Pandas Selector: Visualize and interactively select time-series data