plotapi_rs
plotly
plotapi_rs | plotly | |
---|---|---|
9 | 65 | |
31 | 15,356 | |
- | 1.9% | |
0.0 | 9.4 | |
over 1 year ago | 4 days ago | |
Rust | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
plotapi_rs
- Yes, Python and Matplotlib can make pretty charts
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Visualization of overlapping genes in circular plot
I have seen this done with PlotAPI, check the docs to see if it's what you're after
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[OC] Pokémon Type Combinations (Gen 1-9)
Hey - it's made with PlotAPI, docs are here
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Bart Ridership 2019 vs 2022, by station
you could try PlotAPI for that
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How are videos like this one made?
If you don’t fancy coding you can try PlotAPI
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[OC] Pokémon Type Combinations (Gen 1-9 Update)
Made with PlotAPI.com and Python
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[OC] Most Popular Movie Genre Combinations
- PlotAPI for making the interactive visualization
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A visual guide to earnings reports.
PlotAPI (paid) can make these... can do it through code or using the app
- A Rust Crate for Creating Interactive Chord Diagrams
plotly
- Yes, Python and Matplotlib can make pretty charts
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/plotly/plotly.py
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How to Create a Pareto Chart 📐
First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.
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For all you computational people: What’s your favorite plotting software?
my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.
- What does Power BI offer?
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Other programing options?
Plotly documentation (https://plotly.com/python/)
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Advice on upgrading my Presentation template
I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.
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[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
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Could you recommend some graphing GitHub Repo. for JupyterLab?
I'm using plotly.py now. This is why I love this community.
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Anyone else feel ‘trapped’ in power bi?
Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.
What are some alternatives?
Altair - Declarative statistical visualization library for Python
bokeh - Interactive Data Visualization in the browser, from Python
matplotlib - matplotlib: plotting with Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
folium - Python Data. Leaflet.js Maps.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
seaborn - Statistical data visualization in Python
bqplot - Plotting library for IPython/Jupyter notebooks
pygal - PYthon svg GrAph plotting Library
Graphviz - Simple Python interface for Graphviz
Cartopy - Cartopy - a cartographic python library with matplotlib support
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.