Software Alternatives, Accelerators & Startups

Kraken VS Matplotlib

Compare Kraken VS Matplotlib and see what are their differences

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Kraken logo Kraken

One of the largest and oldest Bitcoin exchanges in the world, Kraken is consistently named one of the best places to buy and sell crypto online, thanks to our excellent service, low fees, versatile funding options and rigorous security standards

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
Not present
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Kraken

Website
kraken.com
$ Details
Release Date
2011 January
Startup details
Country
United States
State
California
Founder(s)
Jesse Powell
Employees
1,000 - 1,999

Kraken features and specs

  • Security
    Kraken is known for its strong security measures, including two-factor authentication (2FA), encryption, and cold storage for the majority of users' assets.
  • Wide Range of Cryptocurrencies
    Kraken supports a large number of cryptocurrencies and trading pairs, making it suitable for users interested in diversifying their portfolios.
  • Low Fees
    Kraken offers competitive fees, which vary based on your trading volume. Generally, the higher your trading volume, the lower the fees you'll incur.
  • Advanced Trading Features
    Kraken provides advanced trading features such as margin trading, futures trading, and various order types, catering to more experienced traders.
  • Regulated Entity
    Being one of the more regulated exchanges, Kraken complies with various regulatory requirements, adding an extra layer of trust for users.
  • Customer Support
    Kraken offers 24/7 customer support through various channels, including live chat and email.

Possible disadvantages of Kraken

  • Complex Interface
    The advanced features and trading options may make the interface seem complicated for beginners, potentially leading to a steep learning curve.
  • Withdrawal Fees
    While trading fees can be low, Kraken does charge fees for withdrawing cryptocurrencies and fiat, which may be considered high for some users.
  • Verification Process
    Kraken's verification process for new accounts can be time-consuming and requires detailed personal information, which may be a drawback for some users.
  • Occasional Downtime
    Some users have reported occasional downtime and slow website performance during periods of high trading volume, which can be frustrating.
  • Geographic Restrictions
    Kraken is not available in all countries, and specific features may be restricted based on geographic location.

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 Kraken

Overall verdict

  • Kraken is a well-regarded cryptocurrency exchange with a strong reputation in the industry. It is praised for its security, extensive features, and user-friendliness, making it a solid choice for many cryptocurrency traders.

Why this product is good

  • Kraken is considered a good cryptocurrency exchange due to its strong security measures, comprehensive range of cryptocurrencies, and advanced trading features. The platform offers competitive fees, high liquidity, and robust customer support, making it a reliable choice for both beginners and experienced traders. Kraken is also known for its transparency and compliance with regulatory standards, which adds an extra layer of trust for users.

Recommended for

  • Beginner traders who are looking for a secure and user-friendly platform.
  • Professional traders who require advanced features and high liquidity.
  • Investors interested in a wide range of cryptocurrencies and fiat trading pairs.
  • Security-conscious individuals who prioritize transparent and compliant exchanges.

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.

Kraken videos

BEST CRYPTO EXCHANGE? Coinbase Pro Vs. Kraken ๐ŸฅŠ

More videos:

  • Review - Kraken Exchange Review
  • Review - Kraken Bitcoin & Crypto Exchange REVIEW - Is It Trustworthy in 2021?

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Kraken and Matplotlib)
Cryptocurrencies
100 100%
0% 0
Data Science And Machine Learning
Crypto
100 100%
0% 0
Technical Computing
0 0%
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 Kraken and Matplotlib

Kraken Reviews

6 Best Coinbase Alternatives for 2022
Kraken, unlike Gemini, markets itself directly to daily traders who do not necessarily need advanced derivatives. Kraken feels like a more approachable Binance. Its inclusion of live support leads the market and makes it a preferred choice for investors new to crypto.
Best Online Brokers for Bitcoin Trading
Kraken - Kraken.com Kraken uses a maker-taker fee schedule with price incentives based on your trading volume over the last 30 days. For example, the average customer who trades less than $50,000 a month will pay $2.60 in fees for every $1,000 in trading volume. Fees for market makers range between 0% and 0.16%, while fees for takers range from 0.10% to 0.26%. This fee...

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.
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.
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.
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...

Social recommendations and mentions

Based on our record, Kraken should be more popular than Matplotlib. It has been mentiond 178 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.

Kraken mentions (178)

  • Daily General Discussion - June 20, 2023 (GMT+0)
    You can use kraken.com if you prefer a more beginner-friendly interface, or you can use the pro.kraken.com interface for a more professional trading experience. Source: about 3 years ago
  • Scammer Watches $455K Vanish After Wasting 1 Year
    The money wasn't real. Kraken built me a custom environment that made the scammer BELIEVE it was real since it said "kraken.com" on my computer. I also spent hours and hours talking to him and building up the story. Source: about 3 years ago
  • Are Bitcoin staking rewards reinvested?
    What the title says, are bitcoin rewards from staking reinvested. Or where are they? Are they paid in fiat or in bitcoin? I assume it's being reinvested because I don't have any money or bitcoin in the account itself. But I'm also looking at some confirmation in writing in kraken.com but I can't see anything. Source: about 3 years ago
  • unstaked eth
    Same boat: seems unstaking began & ended 17-APR according to the "Ledger" entries I see on kraken.com, but (1) I still have some relatively small amount of ETH2.S listed as "Staking, Rewards", and (2) despite having 13+ ETH in my Spot wallet, I can only withdraw 0.81856. Would expect to have ALL ETH2.S unstaked (regardless of reward v purchased), and be able to withdraw 100%. What am I missing? Source: about 3 years ago
  • Changing leverage on mobile app
    Thanks for reaching out to us with this question. It can be a bit confusing. The Kraken Pro app doesn't currently support the ability to set your own leverage. There you are only able to move the balance you want to use. If you want to adjust the leverage, you can opt to use our classic interface on the web. There you can access the Advanced Order form which will offer you leverage flexibility. Source: about 3 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 / 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 / 7 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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What are some alternatives?

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

Coinbase - Bitcoin, safe and easy.

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

Binance - Cryptocurrencies exchange platform

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

Bitfinex - Bitfinex is the largest and most advanced crypto-currencies trading platform.

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