cytoflow
bokeh
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cytoflow | bokeh | |
---|---|---|
3 | 24 | |
162 | 18,839 | |
3.7% | 1.1% | |
0.0 | 9.5 | |
10 months ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" 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.
cytoflow
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Working with fluorescent intensity and replicates in FlowJo?
Or, if you use Python, there are several packages that let you apply the full power of the scientific Python ecosystem to flow data. Admittedly, I'm partial to the one I wrote: https://github.com/cytoflow/cytoflow. And if you want point-and-click, there's a GUI too. (No KS test, though it would be straightforward to add -- submit a feature request on Github!)
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Yes this another post asking for a cracked FlowJo
Another alternative is cytoflow which is maybe a bit more comfortable to use.
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Is FlowLogic horrible or is it just me?
if you know Python I'd recommend https://github.com/cytoflow/cytoflow
bokeh
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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
- Bokeh Python Library for Interactive Visualizations
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Best data visualisation library
If you don’t mind passing html around this library allows you to share full interactive plot:
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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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[OC] The Criminal Podcast's intros have gotten longer over time
I recorded all 200 "I'm Phoebe Judge, this is Criminal" intros from the Criminal podcast, measured the length, and plotted using python's Bokeh package.
- What's the most scalable visualization library?
What are some alternatives?
ipyflow - A reactive Python kernel for Jupyter notebooks.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Sooty - The SOC Analysts all-in-one CLI tool to automate and speed up workflow.
seaborn - Statistical data visualization in Python
ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Altair - Declarative statistical visualization library for Python
papermill - 📚 Parameterize, execute, and analyze notebooks
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]
pygal - PYthon svg GrAph plotting Library