bokeh
Interactive Data Visualization in the browser, from Python (by bokeh)
matplotlib
matplotlib: plotting with Python (by matplotlib)
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bokeh | matplotlib | |
---|---|---|
24 | 36 | |
18,700 | 19,056 | |
1.0% | 1.4% | |
9.5 | 10.0 | |
7 days ago | 7 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Python License 2.0 |
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.
bokeh
Posts with mentions or reviews of bokeh.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-25.
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Bokeh - Interactive Web Plotting for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/bokeh/bokeh
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Emerging Rust GUI libraries in a WASM world
It sounds like you want BokehJS. It was one of the alternatives I was recommended while I was exploring, but for various reasons my particular use case is not so easy to integrate (plus my backend was already in Rust).
https://github.com/bokeh/bokeh
I did do a basic test, and the raw rects-on-screen performance is roughly comparable to my final solution.
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What Python modules can I use to create my own indicators? Like the indicator below, I very new to Python so please don’t be rude
I just came across this: https://bokeh.org/
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Interactive plots
Take a look at Bokeh. https://bokeh.org/
- December goals
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What is the best GUI library for Python?
If so, one approach may be to abandon matplotlib for something like bokeh. Bokeh allows you to add many of the classical GUI elements (slider bars, radio buttons, etc). Depending on your needs, it can either make HTML files with your plots or with a little more work you can set it up as a server.
- why doesn't bokeh boxplot appear?
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AAD auth for Plotly Dash
One particular interesting case is Dash by Plotly. While I myself have previously used Bokeh, I quickly made the transition to Dash since I felt it was more ready for usage as a deployed application. Additionally, having access to Plotly as a charting library is a big plus because it is such a successful open-source project with a strong community and a fantastic library.
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Which GUI library is the best and most worth while to learn.
Check out Bokeh https://bokeh.org/
matplotlib
Posts with mentions or reviews of matplotlib.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-07.
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How and where is matplotlib package making use of PySide?
However, when I look up the matplotlib source, I can't find pyside used anywhere in dependency list. Even a repo search for the term "pyside" gives mentions in the issue tracker but no actual use in the code.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/matplotlib/matplotlib
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The Python Packages That Gave Me Nightmares: A Guide to Overcoming Common Challenges
Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib
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Where to find a dynamic charge density animation/simulation?
I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to import any code?
Your choices are an n-body simulation (e.g., LAMMPS) with Coulomb interactions or, if your electrons are sufficiently sparse, a particle-in-cell (e.g., Starfish). Your best bets for visualization are going to be matplotlib or something more user-friendly like Visit or Paraview. Without a neutralizing background, however, your electrons are just going to repel each other, hit the walls, and disappear - there's not going to be much interesting to visualize. What are you actually trying to simulate? With more information maybe you could receive some more targeted advice.
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How to model the hanging chain PDE using numerical methods in Python?
There are plenty of data visualization tools in python, but probably the easiest to get started with is Matplotlib
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Best way to learn ML/AI hands-on as a developer?
An example of how I would do this is to just plot your data on a line graph (https://matplotlib.org/) . Are there any repeating trends? Next try splitting your data into day of the week, day of the month, months, etc. Look for any kind of seasonality (we're trying to use the past to predict the future, so if the future is not like the past our models will fail).
- Matplotlib - Visualization with Python
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SerpApi Demo Project: Walmart Coffee Exploratory Data Analysis
Install libraries and tell matplotlib to plot inline (inside notebook) with the help of % magic functions which sets the backend of matplotlib to the inline backend:
What are some alternatives?
When comparing bokeh and matplotlib you can also consider the following projects:
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
seaborn - Statistical data visualization in Python
Altair - Declarative statistical visualization library for Python
pygal - PYthon svg GrAph plotting Library
bqplot - Plotting library for IPython/Jupyter notebooks
folium - Python Data. Leaflet.js Maps.
plotnine - A Grammar of Graphics for Python
VisPy - Main repository for Vispy
Graphviz - Simple Python interface for Graphviz