WKTPlot VS chartify

Compare WKTPlot vs chartify and see what are their differences.

WKTPlot

Visualization library for well-known-text strings and shapely geometries. (by FuzzFoundation)
Python Visualization Bokeh shapely wellknowntext
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chartify

Python library that makes it easy for data scientists to create charts. (by spotify)
Bokeh Visualization Python Plotting Plots Data Science
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WKTPlot chartify
2 1
30 3,486
- 0.5%
0.0 3.0
over 1 year ago 2 months ago
Python Python
MIT License Apache 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.

WKTPlot

Posts with mentions or reviews of WKTPlot. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-04.

chartify

Posts with mentions or reviews of chartify. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-30.
  • My Year in Review: Hey there!
    3 projects | dev.to | 30 Dec 2022
    For more small wins in open source, the Spotify team added an article I wrote about Spotify's Chartify as an official resource. I was also able to make a tiny doc fix to Microsoft Power BI's documentation. This is a tool I use a lot, so saying this felt awesome would be an understatement.

What are some alternatives?

When comparing WKTPlot and chartify you can also consider the following projects:

EOmaps - A library to create interactive maps of geographical datasets

DearBagPlayer - DearBagPlayer is a flexible rosbag player based on Dear PyGui in Python.

mundipy - mundipy is a Python framework for spatial data manipulation

Getting-started-in-Technical-Writing - A compilation of useful resources for anyone who wants to get started in technical writing.

geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

chord - Engaging visualisations, made easy.

mapa - Create 3d-printable STLs from satellite 🌍 elevation data

basemap - Plot on map projections (with coastlines and political boundaries) using matplotlib

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis

bokeh - Interactive Data Visualization in the browser, from Python

forecast-work - Forecast work timelines with confidence levels using historical data.

WKTPlot vs EOmaps chartify vs DearBagPlayer WKTPlot vs mundipy chartify vs Getting-started-in-Technical-Writing WKTPlot vs geemap chartify vs chord WKTPlot vs mapa chartify vs basemap chartify vs orange chartify vs bokeh chartify vs forecast-work