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Matplotlib VS CoinStats

Compare Matplotlib VS CoinStats 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...

CoinStats logo CoinStats

CoinStats is a cryptocurrency research and portfolio tracker, that allows to access market data on over 3000 cryptocurrencies, track bitcoin and altcoin investments.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • CoinStats Landing page
    Landing page //
    2022-07-26

CoinStats is the worldโ€™s leading crypto portfolio manager. More than 1.2 million active users track their crypto, DeFi, and NFT assets in real-time every month. Users can track their assets by connecting more than 300 wallets and exchanges to CoinStats. They can also store, buy and swap crypto through the CoinStats DeFi wallet. Currently, more than $100m worth of assets are managed through the app. CoinStats has a mission is to empower people to effectively manage their crypto portfolio via an easy-to-use platform.

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.

CoinStats features and specs

  • Comprehensive Portfolio Management
    CoinStats allows users to manage multiple cryptocurrency portfolios across different exchanges with ease. It provides a consolidated view of all assets, making it easier to track performance.
  • Real-Time Market Data
    The app provides real-time updates on cryptocurrency prices, market trends, and news. This keeps users informed and enables timely decision-making.
  • Multi-Platform Availability
    CoinStats is available on various platforms including web, iOS, and Android, allowing users to access their portfolios and market insights from any device.
  • Security Features
    The app supports secure connections and includes features like API key encryption to ensure the safety of users' data. It also offers two-factor authentication for enhanced security.
  • Integration with Major Exchanges
    CoinStats offers integration with numerous major cryptocurrency exchanges, enabling users to import and sync their portfolio data automatically.
  • Personalized Alerts
    Users can set up custom alerts for price changes, market cap, and other metrics to stay updated on their investment goals and market conditions.

Possible disadvantages of CoinStats

  • Subscription Costs
    While CoinStats offers many features for free, advanced tools and functionalities require a Pro subscription, which may be expensive for some users.
  • Limited Free Features
    The free version of CoinStats has limitations on the number of portfolios and exchanges that can be linked, which may not suffice for advanced investors.
  • Exchange Sync Issues
    Some users have reported occasional issues with syncing their portfolios from certain exchanges, which can lead to inaccuracies in tracking investments.
  • Complex Interface for Beginners
    The app offers a variety of features which can be overwhelming for beginners. The learning curve might be steep for those new to cryptocurrency investment.
  • Customer Support
    Some users have experienced delays in getting responses from customer support, which can be frustrating when dealing with urgent issues.
  • Privacy Concerns
    With the need to connect API keys and sync personal financial data, some users may have concerns about the privacy and security of their investment information.

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 CoinStats

Overall verdict

  • Overall, CoinStats is a reputable and efficient app for both new and experienced cryptocurrency investors, offering valuable tools for tracking and managing digital assets effectively.

Why this product is good

  • CoinStats is considered a good choice by many because it offers a comprehensive suite of portfolio management tools, supports a wide range of cryptocurrencies and exchanges, and features real-time tracking and analytics. The platform is user-friendly and provides insights through news, charts, and price alerts, helping users make informed investment decisions.

Recommended for

  • Cryptocurrency investors looking for real-time portfolio tracking.
  • Users who want a diverse range of supported coins and exchanges.
  • Individuals seeking a user-friendly interface with comprehensive analytics and news updates.
  • Both beginner and experienced investors wanting detailed insights into their cryptocurrency investments.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

CoinStats videos

+ Add

The Coin Stats Secure Wallet powered by SignKeys is now LIVE!

More videos:

  • Review - Coin Stats App The Blockfolio Killer Contest FREE Give Away (Contest Over)
  • Review - coin stats on android

Category Popularity

0-100% (relative to Matplotlib and CoinStats)

Matplotlib

CoinStats

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
Cryptocurrency Investment
0 0%
Cryptocurrency Investment
100% 100

User comments

Share your experience with using Matplotlib and CoinStats. 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 Matplotlib and CoinStats

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

CoinStats Reviews

Top 8 Crypto Swapping Sites/Platforms For 2024; Hereโ€™s List
CoinStats is rising to be one of the best crypto swap platforms in the industry. Do you know that swapping platforms usually charge extra fees? You no longer need to pay any additional fees for swapping crypto on Coinstats. Besides, you can manage all your crypto assets at one place because it supports a wide range of cryptocurrencies, NFTs, and DeFi platforms.
Source: coingape.com
Blockfolio Alternatives: Best Portfolio Apps Similar to Blockfolio
The Coin Stats app is a solid entry into the crypto portfolio app scene, providing some of the most requested features by cryptocurrency enthusiasts. It offers the standard portfolio tracking feature suite, but also some interesting features such as Coin Insights, which lets you see statistics about the portfolios of other Coin Stats app users and potentially identify...
Source: coincodex.com

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than CoinStats. It has been mentiond 114 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.

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
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CoinStats mentions (32)

  • Do You Know Your Airdrop Potential? ๐Ÿช‚
    This feature is invaluable for those engaged in airdrop farming on zkSync Era, Starknet, Polygon zkEVM chains, etc. Airdrop enthusiasts can use Chain Activity to assess their likelihood of getting an airdrop and compare their walletsโ€™ engagement with the overall actions on the chain. To check your wallet addressโ€™ Chain Activity, visit CoinStats or download the CoinStats app. Simply connect your wallet, navigate... Source: over 2 years ago
  • Hello Aurora Community! Aurora Reddit Community #22 AMA is here with CoinStats. Ask questions before the end of February 11th to qualify for rewards!!
    CoinStats team was really surprised with this kind of activity and we are willing to give Aurora community promocode for 30 days CoinStats Premium for FREE. Please bear in mind, that you can claim the coupons only via WEB version, as Apple and Google won't let us give you free CoinStats premium for some reason. Only the first 30 users can claim. Source: over 3 years ago
  • Hello Aurora Community! Aurora Reddit Community #22 AMA is here with CoinStats. Ask questions before the end of February 11th to qualify for rewards!!
    Make sure to join CoinStats social groups to be updated on their recent news and updates. CoinStats Website: https://coinstats.app Telegram: https://t.me/coinstatsapp Twitter: https://twitter.com/CoinStats Discord: https://discord.gg/6YvqMYca. Source: over 3 years ago
  • Hello Aurora Community! Aurora Reddit Community #22 AMA is here with CoinStats. Ask questions before the end of February 11th to qualify for rewards!!
    Let's welcome Tigran from Coinstats for our #22 Reddit AMA! Source: over 3 years ago
  • You can now track all your Aurora assets on CoinStats
    CoinStats (https://coinstats.app/) is your one-stop-shop for everything crypto. Easily connecting all your wallets and exchanges to CoinStats and creating a DeFi wallet, you can then buy, sell, swap, track, and earn on your crypto from one interface. Source: over 3 years ago
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What are some alternatives?

When comparing Matplotlib and CoinStats, 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.

CoinMarketCap - Crypto-currency market capitalizations.

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

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

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

CoinTracking - All Coins, all Analyzes, all Calculations, all Charts and all Prices for Bitcoin, Litecoin...

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