Pipe
SciencePlots
| Pipe | SciencePlots | |
|---|---|---|
| 6 | 8 | |
| 1,854 | 6,471 | |
| - | - | |
| 5.6 | 5.9 | |
| 28 days ago | 3 months ago | |
| Python | 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.
Pipe
- Pipe: A Python library to use infix notation in Python
-
Lets-Plot: An open-source plotting library by JetBrains
The Apache Beam SDK for Python is another example. It has its own pipe expressions (|, >>, |>, etc.).
[1] https://github.com/JulienPalard/Pipe
-
Are we looking at the same python?
For example, you can't do something like array.map(). You have to do map(array), which is really unergonomic in many cases. That's why there are things like Pipe for Python, or pipe-like operators in other languages.
-
This Week in Python
Pipe – A Python library to use infix notation in Python
- A Python library to use infix notation in Python
-
Easy, readable data processing in functional manner using pypely
Yes it works with MPP engines as the package is not used for orchestration purposes. It is meant to encourage a coding paradigm: functional programming. The benefit of the package is that it provides functions that make it easy to apply functional programming to data processing tasks. Similar projects with a different focus are: fluentpy and Pipe
SciencePlots
-
Lets-Plot: An open-source plotting library by JetBrains
This seems quite similar to plotnine [0], which also provides a grammar of graphics interface for Python. That said, I love ggplot and I can't wait to use this in my research! I hope we can port/re-implement ggthemes, scientificplots [1], and other ggplot libraries for lets-plot.
0: https://plotnine.readthedocs.io/en/stable/
1: https://github.com/garrettj403/SciencePlots
-
Resources for data visualization (free & paid) for scientific publications
What is it about matplotlib that you object to? If it’s just the number of commands needed to get it right, you can look at something like https://github.com/garrettj403/SciencePlots that will get you most of the way.
- Matplotlib Styles for Scientific Plotting
-
LovelyPlots
I know a lot of academics that do, but wouldn't recommend it personally. Also, there is https://github.com/garrettj403/SciencePlots
-
Struggling with Python
Seeing as you're doing bioinformatics, I recommend Juptyer notebooks and pandas if you're not already. The pandas documentation is very extensive which is helpful. I also recommend SciencePlots for publication quality plots.
-
Using Python (and matplotlib) for plotting in academia
I have also found SciencePlots. Should I use this in addition to cmcrameri?
- Matplotlib style library for Scientific plots
What are some alternatives?
fluent - Python wrapper for stdlib (and other) objects to give them a fluent interface.
paperetl - 📄 ⚙️ ETL processes for medical and scientific papers
plotly.rs - Plotly for Rust
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
datashader - Quickly and accurately render even the largest data.
dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style
DeepFaceLive - Real-time face swap for PC streaming or video calls
daltonize - Simulate and correct images for dichromatic color blindness
pygg - ggplot2 syntax in python. Actually wrapper around Wickham's ggplot2 in R
sane_tikz - Reconquer the canvas: beautiful Tikz figures without clunky Tikz code
candygraph - Fast by default, flexible 2D plotting library.
VSCode-LaTeX-Inkscape - ✍️ A way to integrate LaTeX, VS Code, and Inkscape in macOS