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Zeplin VS Matplotlib

Compare Zeplin VS Matplotlib and see what are their differences

Kimp
Kimp is an unlimited design company, specializing in graphic design (including print and digital designs, custom illustrations, landing page designs and email designs) and video design. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Zeplin logo Zeplin

Collaboration app for UI designers & frontend developers

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Zeplin Landing page
    Landing page //
    2023-10-19
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Zeplin videos

+ Add

Zeplin Basics: Design Systems

More videos:

  • Demo - Zeplin Demo: What is Zeplin? (Video)

Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Zeplin and Matplotlib)

Zeplin

Matplotlib

Design Tools
100 100%
Design Tools
0% 0
Technical Computing
0 0%
Technical Computing
100% 100
Prototyping
100 100%
Prototyping
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using Zeplin and Matplotlib. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Zeplin and Matplotlib

Zeplin Reviews

10 Best Adobe XD Alternatives (Free & Paid)
Zeplin is a smart Adobe XD alternative for code lovers. It is a code-based design app where you can source all your components from Storybook, Github, Bitbucket, SourceForge, and other repositories, so they are always code-ready. The app also integrates seamlessly with team collaboration and project management tools like Trello, Proofhub, Monday, Jira, and Slack, offering...
Source: justcreative.com
Top 10 Free Adobe XD Alternatives in 2021
One of the top alternatives to Adobe XD is Zeplin, a code-based design tool where your components can be sourced from GitHub, Storybook, and other repositories so they're always code-ready. You can view summaries of your components within your designs and easily see code snippets for how to initialize them. There are also extensive integrations with project management and...
Source: mockitt.wondershare.com

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesn’t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Zeplin. It has been mentiond 98 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.

Zeplin mentions (21)

  • Storybook 8
    Additionally, thank you to all our community launch partners across the frontend ecosystem for helping us bring Storybook 8 to the world! Thanks to Chromatic, Figma, ViteConf, Omlet, DivRiots, story.to.design, StackBlitz, UXpin, Nx, Mock Service Worker, Anima, Zeplin, zeroheight, kickstartDS, and Kendo UI. - Source: dev.to / 3 months ago
  • Why is Figma better for developers?
    Designers would often use separate tools like Zeplin or Invision to handoff the designs to developers.🚮. - Source: dev.to / 3 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Zeplin — Designer and developer collaboration platform. Show designs, assets, and style guides. Free for one project. - Source: dev.to / 4 months ago
  • What do you think about the new Figma developer mode?
    I'd suggest if you're going to use a tool to collaborate on finalized designs. One that doesn't rely on which design tool you use, why not use zeplin.io? There are free plans and paid plans, and it was purpose built for design delivery. Over 5 million users--over 3 million developers using it. Source: 11 months ago
  • Working with engineers
    It seems to be you and your team could benefit from a tool like zeplin. Source: about 1 year ago
View more

Matplotlib mentions (98)

  • Implementing semantic image search with Amazon Titan and Supabase Vector
    Matplotlib: for displaying our image result. - Source: dev.to / about 2 months 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 / 3 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 / 6 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 / 10 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: about 1 year ago
View more

What are some alternatives?

When comparing Zeplin and Matplotlib, you can also consider the following products

Invision - Prototyping and collaboration for design teams

GnuPlot - Gnuplot is a portable command-line driven interactive data and function plotting utility.

Figma - Team-based interface design, Figma lets you collaborate on designs in real time.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Balsamiq - Balsamiq. Rapid, effective and fun wireframing software.

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

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