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Matplotlib VS CoinMarketCap

Compare Matplotlib VS CoinMarketCap and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

CoinMarketCap logo CoinMarketCap

Crypto-currency market capitalizations.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • CoinMarketCap Landing page
    Landing page //
    2023-08-03

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

CoinMarketCap features and specs

  • Comprehensive Data
    CoinMarketCap provides extensive data on a wide range of cryptocurrencies, making it a one-stop shop for market information.
  • User-Friendly Interface
    The website features a clean and intuitive design, which makes it easy for users to navigate and find the information they need.
  • Real-Time Updates
    CoinMarketCap offers real-time updates on cryptocurrency prices, volumes, and market capitalizations.
  • Educational Content
    The platform includes educational articles and guides, which help users understand the cryptocurrency market better.
  • Historical Data
    Users have access to historical data, which is useful for analyzing market trends over time.
  • API Access
    CoinMarketCap provides API services for developers, enabling them to integrate cryptocurrency data into their own applications.

Possible disadvantages of CoinMarketCap

  • Ad Invasion
    The website features a significant amount of advertising, which can be distracting and diminish the user experience.
  • Data Accuracy
    While generally reliable, there are occasional discrepancies in listed prices and volumes compared to other sources.
  • Limited Features on Free Plan
    Some advanced features and detailed data sets are restricted to paid subscription plans, limiting access for casual users.
  • Market Manipulation Suspicions
    Due to its popularity, some users suspect that data on CoinMarketCap can be manipulated by market participants.
  • Geographical Restrictions
    Certain features and access to specific data may be restricted or unavailable in some countries.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Analysis of CoinMarketCap

Overall verdict

  • CoinMarketCap is a highly reputable and useful resource for anyone interested in cryptocurrencies, providing reliable and comprehensive data along with valuable features for users.

Why this product is good

  • Reliability
    CoinMarketCap is one of the most recognized and widely used platforms for cryptocurrency data, which adds to its reliability and trustworthiness.
  • User interface
    CoinMarketCap offers a user-friendly interface that makes it easy for both beginners and experienced users to navigate the site.
  • Additional features
    It offers additional features such as a news feed, educational resources, and portfolio tracking, enhancing its value for users.
  • Data comprehensiveness
    The platform provides comprehensive data on a vast number of cryptocurrencies, including market prices, market cap, volume, and historical data.

Recommended for

  • Cryptocurrency investors seeking up-to-date market data
  • Beginners looking for educational resources on cryptocurrencies
  • Analysts needing comprehensive market analysis tools
  • Individuals interested in tracking their cryptocurrency portfolios

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

CoinMarketCap videos

+ Add

How to Use CoinMarketCap.com in 2019 (Tutorial)

More videos:

  • Review - COINMARKETCAP REVIEW! LET'S TAKE A LOOK AT SOME COINS!!
  • Review - COINMARKETCAP REVIEW! HUNTING FOR WINNERS

Category Popularity

0-100% (relative to Matplotlib and CoinMarketCap)

Matplotlib

CoinMarketCap

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cryptocurrencies
0 0%
Cryptocurrencies
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Crypto
0 0%
Crypto
100% 100

User comments

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Reviews

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

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 doesnโ€™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

CoinMarketCap Reviews

We have no reviews of CoinMarketCap yet.
Be the first one to post

Social recommendations and mentions

Based on our record, CoinMarketCap seems to be a lot more popular than Matplotlib. While we know about 1310 links to CoinMarketCap, we've tracked only 114 mentions of Matplotlib. 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.

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

CoinMarketCap mentions (1310)

  • Crypto Sees More Than $6B in Liquidations
    Https://coinmarketcap.com/ I have written my thoughts/article like 3-4 months about it and I also sometimes like to talk to crypto traders about it just to have some fun talking to them and trying to convince them that what they do sort of is irrational imo and seeing their responses (I mean no shade on anybody if someone's into it, I just hope that you all have safety nets please, please invest into international... - Source: Hacker News / 10 months ago
  • Crypto's Wild West Era Is Over
    The most traded cryptocurrency is USDT, a stablecoin. It has over double the daily trade volume that Bitcoin has, the second most traded cryptocurrency by volume. Stablecoins are a huge part of the cryptocurrency ecosystem. https://coinmarketcap.com. - Source: Hacker News / about 1 year ago
  • Why Crypto Price Scraping Still Matters in 2025: A Dev's Perspective
    Import requests From bs4 import BeautifulSoup Url = "https://coinmarketcap.com/" Headers = {"User-Agent": "Mozilla/5.0"} Response = requests.get(url, headers=headers) Soup = BeautifulSoup(response.text, "html.parser") Rows = soup.select("table tbody tr")[:10] For row in rows: name = row.select_one("p.coin-item-name").text.strip() price = row.select_one("div.sc-142c02c-0.lmjbLF").text.strip() ... - Source: dev.to / about 1 year ago
  • Unlock Real-Time Crypto Data with CoinMarketCap API
    Accurate, real-time data is essential for making informed decisions in the cryptocurrency market. Established in 2013, CoinMarketCap has become the go-to platform for transparent cryptocurrency market data. The CoinMarketCap API provides developers with programmatic access to this wealth of information, including current prices, market capitalizations, trading volumes, and historical data across thousands of... - Source: dev.to / over 1 year ago
  • Crypto.com Receives Authorisation as an Electronic Money Institution from the United Kingdomโ€™s Financial Conduct Authority
    CRO or Crypto.com coin is the native currency of the Crypto.com app, exchange and blockchain. At time of writing, itโ€™s #17 by market cap. Source: over 2 years ago
View more

What are some alternatives?

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

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

CoinGecko - CoinGecko is a free to use web-based and mobile application that provides financial market data for more than 2000 digital currencies.

NumPy - NumPy is the fundamental package for scientific computing with Python

Crypto.com - Buy, earn, and spend cryptocurrencies anywhere ๐Ÿ’ณ

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

Coinbase - Bitcoin, safe and easy.

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