C3.js VS Matplotlib

C3.js Reviews

Matplotlib Reviews

C3.js mentions (10)

• Graph libraries

  I've been using https://c3js.org/ forever with vue. Works with v3 just fine. However, I'm very interested to see what others are using. Source: almost 2 years ago

• Teclis – Non-commercial web search

  Yes! I found https://c3js.org/ which is exactly what I want for my personal project. - Source: Hacker News / about 2 years ago

• [OC] I spent the last 18 months of lockdown pouring my soul into a website that allows you to visualize virtually every U.S. company's international supply chain. E.g. What products, how much, which factories and where does Walmart import from? (Just type a company in the search box)

  C3.js is actually something that I like to use on top of D3, specifically for POC's and things like that. It wraps the D3 code in something a little more semantic, provides an API for updating the chart/data, and makes the UI easier to style after the chart is generated. Purely a preference thing, but might be useful in some cases. Source: over 2 years ago

• [C3.js][TypeScript] Draw line charts 1

  C3.js | D3-based reusable chart library. - Source: dev.to / over 2 years ago

• Widely Used Data Display and Analysis Libraries

  C3 is a very efficient D3 based chart visualization library. C3 library is fast to render, has good compatibility across browsers, and is very simple to integrate. If you're looking for no-frills, C3 is a decent choice. - Source: dev.to / over 2 years ago

Matplotlib mentions (98)

• Implementing semantic image search with Amazon Titan and Supabase Vector

  Matplotlib: for displaying our image result. - Source: dev.to / about 1 month ago

• Releasing The Force Of Machine Learning: A Novice’s Guide 😃

  Matplotlib: Acomprehensive library for creating static, animated, and interactive visualizations in Python. - Source: dev.to / 2 months ago

• How to retrieve and analyze crypto order book data using Python and a cryptocurrency API

  Data visualization: utilizing Python's Matplotlib for visualizing order book information. - Source: dev.to / 5 months ago

• Ask HN: What plotting tools should I invest in learning?

  For random, quick and dirty, ad-hoc plotting tasks my default is GNUPlot[1]. Otherwise I tend to use either Python with matplotlib, or R with ggplot2. I keep saying I'm going to invest the time to properly learn D3[4] or something similar for doing web-based plotting, but somehow never quite seem to find time to do it. sigh [1]: http://www.gnuplot.info/ [2]: https://matplotlib.org/ [3]:... - Source: Hacker News / 9 months ago

• PSA: You don't need fancy stuff to do good work.

  Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: 12 months ago