Plotly.NET
plotly
Plotly.NET | plotly | |
---|---|---|
4 | 65 | |
584 | 15,324 | |
2.9% | 1.4% | |
8.3 | 9.4 | |
about 2 months ago | 4 days ago | |
F# | Python | |
MIT License | 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.
Plotly.NET
-
Exploratory Data Analysis with F#, Plotly.NET, and ML.NET DataFrames
There are many charting options for .NET in a Polyglot Notebook, including ScottPlot, the older XPlot Library, and Plotly.NET. I'm a big fan of Plotly for data visualization in Python, so I choose it when I can in other languages too. However, Plotly.NET is also becoming the defacto standard for data visualization in .NET notebooks.
- Issue with F# Plotly.NET chart descriptions - would love some advice!
-
Best libraries for scientific charts?
You can look at the csharp tests for examples https://github.com/plotly/Plotly.NET/tree/dev/tests/Plotly.NET.Tests.CSharp
-
F# + Plotly.NET + AngouriMath + Interactive: symbolic algebra for research!
Plotly.NET: awesome package for plotting in F# (in that article, it's there).
plotly
- Yes, Python and Matplotlib can make pretty charts
-
Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/plotly/plotly.py
-
How to Create a Pareto Chart 📐
First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.
-
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?
-
Other programing options?
Plotly documentation (https://plotly.com/python/)
-
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.
-
[OC] Clustering Images with OpenAI CLIP, T-SNE, UMAP & Plotly
Plotly GitHub repository: https://github.com/plotly/plotly.py
-
Could you recommend some graphing GitHub Repo. for JupyterLab?
I'm using plotly.py now. This is why I love this community.
-
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?
interactive - .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
Altair - Declarative statistical visualization library for Python
GnuplotCSharp - Make gnuplot graphs with C#, including by passing arrays (data) and using "hold on" to have several layers of graphs
bokeh - Interactive Data Visualization in the browser, from Python
F-a-maze-ing - Create aesthetic mazes of different shapes, tiles, sizes and more using a CLI tool. A website is also available at https://mazes.apixelinspace.com
matplotlib - matplotlib: plotting with Python
equinox - .NET event sourcing library with CosmosDB, DynamoDB, EventStoreDB, message-db, SqlStreamStore and integration test backends. Focused at stream level; see https://github.com/jet/propulsion for cross-stream projections/subscriptions/reactions
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
MiniScaffold - F# Template for creating and publishing libraries targeting .NET 6.0 `net6.0` or console apps .NET 6.0 `net6.0`.
folium - Python Data. Leaflet.js Maps.
csharp-language-server - Roslyn-based LSP language server for C#
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]