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Blockfolio VS Matplotlib

Compare Blockfolio VS Matplotlib and see what are their differences

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All-in-one crypto finance platform for companies that run on stablecoins. Invoicing, payouts, treasury, budgets and AML โ€” the whole money path in one non-custodial system. No banking friction, no spreadsheet reconciliation. sponsored
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Blockfolio logo Blockfolio

Blockfolio offers complete Bitcoin and Altcoin cryptocurrency management, with easy to use tools to keep track of all your crypto investments.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Blockfolio Landing page
    Landing page //
    2023-02-08
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Blockfolio features and specs

  • Comprehensive Portfolio Tracking
    Blockfolio offers extensive portfolio tracking features, allowing users to monitor their cryptocurrency investments across multiple platforms and exchanges in one place.
  • Real-time Price Updates
    The app provides real-time price updates for a wide array of cryptocurrencies, ensuring that users always have the most current market data.
  • Customizable Alerts
    Users can set up customizable alerts to get notifications on specific price movements, helping them take timely action on their trades.
  • News Integration
    Blockfolio includes a news feed that aggregates important news articles and updates about various cryptocurrencies, providing valuable information directly within the app.
  • User-Friendly Interface
    The interface is intuitive and easy to navigate, making it accessible for both novice and experienced cryptocurrency investors.
  • Security
    Blockfolio prioritizes user security and does not require users to connect their wallets or share private keys, minimizing risk.

Possible disadvantages of Blockfolio

  • Manual Entry Required
    Users need to manually input their transactions and holdings, which can be time-consuming and prone to human error.
  • Limited Exchange Integration
    Although Blockfolio supports multiple exchanges, it does not integrate with all platforms, which can be a limitation for some users.
  • Lack of Advanced Trading Features
    The app is primarily focused on tracking and does not offer advanced trading features or the ability to execute trades directly within the platform.
  • Performance Issues
    Some users have reported performance issues such as lagging and crashing, particularly when tracking a large number of cryptocurrencies.
  • Privacy Concerns
    While Blockfolio emphasizes security, some users may still have concerns about sharing their portfolio details with a third-party service.
  • Notifications
    Notifications can sometimes be delayed or fail to trigger, which can be critical for users who rely on real-time alerts for trading decisions.

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.

Analysis of Blockfolio

Overall verdict

  • Blockfolio is generally regarded as a good tool, especially for users who want an easy and effective way to track their cryptocurrency investments. However, consideration of the current status and operability of FTX is important as of late 2023.

Why this product is good

  • Blockfolio, now known as FTX (after being acquired by FTX Trading Ltd.), is popular for its comprehensive portfolio tracking and management features. It offers a user-friendly interface, supports a wide range of cryptocurrencies, and provides timely news updates and price alerts. These features make it appealing for those who like a consolidated view of their crypto assets and wish to stay updated on market trends.

Recommended for

    Crypto enthusiasts looking for a straightforward portfolio management tool, as well as those who appreciate receiving market news and price alerts. It is also suitable for beginners due to its simple and intuitive interface.

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.

Blockfolio videos

+ Add

Best Way To TRACK Your Crypto Purchases? Blockfolio Review!!

More videos:

  • Tutorial - Blockfolio App Tutorial - Track Your Bitcoin & Altcoin Portfolio
  • Review - Blockfolio 2 0 Unveiling & Review | Unreleased Beta Version

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Blockfolio and Matplotlib)

Blockfolio

Matplotlib

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

User comments

Share your experience with using Blockfolio 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 Blockfolio and Matplotlib

Blockfolio Reviews

7 Best Crypto Portfolio Trackers for 2021 (Tried & Tested)
BlockfolioBlockfolio's mobile-first design has always been a differentiatorFrom left to right: Blockfolio Signal, Markets and Asset Detail viewsKuberaAll your financial assets in one place. A thing of beauty!DeltaLeft two: the current Delta | Right: the upcoming Delta with traditional investmentsA look at Delta Direct - a similar feature to Blockfolio SignalLunch MoneyLunch...
Source: zabo.com
Best Cryptocurrency Portfolio Trackers 2021 โ€“ Altcoin Management Apps
Delta is slowly taking over the leading role from Blockfolio in becoming the number 1 mobile cryptocurrency tracker. Delta currently supports no importing APIs from exchanges, and it has no desktop version, but both of these are coming soon. As of right now, Delta is a better version of Blockfolio, so if you need a mobile app to track your cryptos, Delta is your #1 choice.
Source: captainaltcoin.com
Blockfolio Alternatives: Best Portfolio Apps Similar to Blockfolio
Blockfolio is undoubtedly one of the leaders when it comes to cryptocurrency portfolio apps. The app has achieved immense popularity in the cryptocurrency space thanks to its comprehensive suite of features. One of the unique aspects of Blockfolio is the Blockfolio Signal feature, which provides bespoke updates from various cryptocurrency projects that have signed up to...
Source: coincodex.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 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

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than Blockfolio. 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.

Blockfolio mentions (43)

  • Official LTO Feed on FTX App! ๐Ÿ‘€
    Weโ€™re bringing back our official feed on FTX App! ๐Ÿฅณ ๐Ÿ™Œ. Source: about 4 years ago
  • Crypto.com vs Robinhood?
    The FTX app (https://blockfolio.com) has SHIB and other crypto for 8% apy. Source: over 4 years ago
  • BTC rates?
    FTX.com is the exchange. Go to blockfolio.com. FTX bought Blockfolio and rebranded as FTX. They are two separate products. On the App stores FTX.us is the exchange/website and FTX is the interest account and is mobile only. It's pretty confusing the way they named these products. Source: over 4 years ago
  • Since earn is much lower now, where?
    Go to https://blockfolio.com and it says 8% on all crypto and fiat. Source: over 4 years ago
  • FTX is terrible
    Ftx.us , ftx.com and blockfolio.com afaik they are their own services. My understanding been that .us is for america and .com for international. No idea what blockfolio is for. Source: over 4 years ago
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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 / 5 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 / 8 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 / 9 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 / 10 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 / 11 months ago
View more

What are some alternatives?

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

CoinMarketCap - Crypto-currency market capitalizations.

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

CoinStats - CoinStats is a cryptocurrency research and portfolio tracker, that allows to access market data on over 3000 cryptocurrencies, track bitcoin and altcoin investments.

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

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