Flask-Plots VS daltonize

Compare Flask-Plots vs daltonize and see what are their differences.

Flask-Plots

Flask-Plots is a library for creating and rendering static visualizations using Matplotlib in Python. (by juniors90)
Flask Python matplotlib-figures Datavisualization Data Visualization Jinja2
Source Code
flask-plots.readthedocs.io
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daltonize

Simulate and correct images for dichromatic color blindness (by joergdietrich)
color-blindness Python Matplotlib matplotlib-figures
Source Code
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Flask-Plots daltonize
2 3
1 74
- -
0.0 0.0
over 2 years ago over 1 year ago
Python Python
MIT License GNU General Public License v3.0 only
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.

Flask-Plots

Posts with mentions or reviews of Flask-Plots. We have used some of these posts to build our list of alternatives and similar projects.

daltonize

Posts with mentions or reviews of daltonize. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Flask-Plots and daltonize you can also consider the following projects:

plotly-calplot - The easiest and best looking Calendar Heatmap you'll find, made with Plotly.

SciencePlots - Matplotlib styles for scientific plotting

Expense-tracker - Python expense tracker

LovelyPlots - Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

jinja_partials - Simple reuse of partial HTML page templates in the Jinja template language for Python web frameworks. #pypackage

30-Days-Of-Python - 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

healthqa - Source code of community platform

PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.

cheatsheets - Official Matplotlib cheat sheets

flask-comment - Create comment component in Flask/Jinja2 template.

Flask-Plots vs plotly-calplot daltonize vs SciencePlots Flask-Plots vs Expense-tracker daltonize vs LovelyPlots Flask-Plots vs jinja_partials daltonize vs 30-Days-Of-Python Flask-Plots vs healthqa daltonize vs Expense-tracker Flask-Plots vs PySimpleGUI daltonize vs cheatsheets Flask-Plots vs flask-comment Flask-Plots vs SciencePlots