No iWantHue videos yet. You could help us improve this page by suggesting one.
Based on our record, Seaborn should be more popular than iWantHue. It has been mentiond 32 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
My go-to color links (general color theory stuff): - https://paletton.com/ palettes with color theory and can generate the entire scheme. - https://medialab.github.io/iwanthue/ I want hue, uses k-means to separate out colors, great for graphs and getting contrast on those. - Source: Hacker News / 4 months ago
Using something like https://medialab.github.io/iwanthue/ is also a good idea for generating distinct and colourblind-friendly colour palettes. Source: 12 months ago
I used a dizzying array of tools to pull this off. Labor-sheds for Regional Analysis by Chris Fowler, Penn State Univ., was the source of the city-regions map data and central cities used for calculation. JPL Horizons provided the sunrise data. QGIS did most of the heavy lifting, with assists by LibreOffice Calc, Notepad++, and Mapshaper. Iwanthue gave me the color scheme. The compositing was done in Inkscape, and... Source: about 2 years ago
I quite like the color palettes generated by I want hue. I'd like to write an R wrapper around the js library for this tool. Source: about 2 years ago
I also often use some colour palette tools, like iWantHue. Source: about 2 years ago
If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful. I see these products as tools for data visualization and reporting i.e. Presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics. I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my... - Source: Hacker News / 3 months ago
It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib). - Source: Hacker News / 3 months ago
While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time. https://seaborn.pydata.org/. - Source: Hacker News / 3 months ago
Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics. - Source: dev.to / 3 months ago
You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts. Source: 11 months ago
Adobe Color CC - Generates color themes that can inspire any project.
Matplotlib - matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
Paletton - Color Scheme Designer
Backtrader - Backtrader is a complete and advanced python framework that is used for backtesting and trading.
Coolors.co - The super fast color schemes generator! Create, save and share perfect palettes in seconds!
quantra - A public API for quantitative finance made with Quantlib