Software Alternatives & Startups

CoinTracker VS Matplotlib

Compare CoinTracker VS Matplotlib and see what are their differences

CoinTracker

The most trusted cryptocurrency tax and portfolio manager

Rating
3.0 · 1 review
Matplotlib

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

Rating
0 reviews
Pricing
Open source
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

CoinTracker might be a bit more popular than Matplotlib. We know about 116 links to it since March 2021 and only 114 links to Matplotlib.

social mentions
116 vs 114
Cryptocurrencies popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

CoinTracker
Matplotlib
Website cointracker.com matplotlib.org
Pricing
Open source
Listed in

Features and specs

What each product offers, as listed by its team.

CoinTracker 5 features
Matplotlib 6 features
  • Comprehensive tracking
    CoinTracker supports a wide range of cryptocurrencies and integrates with many exchanges, making it easy to track all your digital assets in one place.
  • Tax calculations
    CoinTracker provides powerful tax calculation features that help users prepare for tax season by generating necessary reports.
  • Easy setup
    The platform offers an intuitive user interface and simple setup process, making it accessible even for beginners.
  • Real-time updates
    CoinTracker offers real-time price tracking and portfolio updates, ensuring users always have the latest information.
  • Security
    CoinTracker employs robust security measures, including encryption and secure storage, to protect user data.

Possible disadvantages

  • Cost
    While there is a free version, the advanced features come at a cost, which might be a barrier for some users.
  • Performance issues
    Some users have reported occasional performance issues, such as slow syncing with exchanges or delayed updates.
  • Limited customer support
    Customer support options are somewhat limited, which can be a challenge if users encounter problems that require immediate assistance.
  • Complexity for advanced users
    Advanced traders might find some of the more sophisticated tracking and reporting features lacking.
  • Regional limitations
    Certain features, particularly tax reporting, may not be fully compatible with the tax regulations in all countries.
  • 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

  • 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

An editorial look at what each product does well and who it suits.

CoinTracker
Matplotlib

Overall verdict

  • Overall, CoinTracker is a highly recommended tool for cryptocurrency enthusiasts and investors who require accurate portfolio monitoring and tax compliance assistance. It is well-regarded for its user-friendly interface, reliability, and integration capabilities, making it a robust solution for effective crypto asset management.

Why this product is good

  • CoinTracker is considered good due to its comprehensive portfolio tracking and tax reporting features tailored for cryptocurrency users. It supports a wide variety of exchanges and wallets, allowing seamless synchronization and accurate tracking of crypto holdings. Additionally, it provides real-time market valuations, detailed analytics, and performance reports, which are advantageous for users aiming to stay informed about their investments. The tax reporting functionality simplifies the process of filing cryptocurrency taxes, which can be complex due to fluctuating regulations.

Recommended for

  • Cryptocurrency investors looking for automated portfolio tracking.
  • Individuals needing detailed tax reports for their crypto transactions.
  • Users seeking to integrate multiple exchanges and wallets for a unified view of their crypto assets.
  • Beginners in the crypto space who need a straightforward and easy-to-understand platform for managing their investments.

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.

Videos

Walkthroughs and reviews on video.

CoinTracker 2 videos + Add
Matplotlib 1 video + Add

How to file your cryptocurrency & bitcoin taxes with CoinTracker and TurboTax

More videos

  • - Cryptocurrency Taxes 2020 Made Easy? (CoinTracker.io Interview)

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
CoinTracker
Matplotlib
100% 100%
0% 0%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

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

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

CoinTracker 3.0 · 1 review
Matplotlib no reviews yet
  • 14 Best Crypto Tax Software to Ease Your Calculation and Be Compliant
    geekflare.com · Nov 2022

    Similar to CyrptoTrader, CoinTracker lets you share the report with tax professionals. Subscription plans are based on transactions, and higher-level plans come with DeFi support as well.

  • Mixed emotions on this
    SaaSHub review
    · Oct 2021

    I have been using cointracker in 2021. Suddenly, six days ago, the system stopped posting my transactions. I was on the "free" program, and I intended to buy a program for tax purposes. After this problem. I will go...

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

CoinTracker 116 mentions
Matplotlib 114 mentions
  • Inter-wallet transfers showing up as Trades
    Thanks, but the AI is useless and when I get customer support they just ignore me or send a link to some page. This has been my experience with cointracker.io I already started to move everything to Koinly. Thanks though... Source: over 3 years ago
  • never ever dealt with a company like gemini before . TAXES are a mess because of them
    Have you tried cointracker.io or koinly.io? I don't know if they support Gemini. Crypto exchanges are weird with tax forms, doesn't make sense to me either but I think most of them only provide 1099misc. I'm probably not going to file... Source: over 3 years ago
  • Website or user list was hacked.
    That email was only used for cointracker.io no where in the history of the internet has that email been used anywhere else. If they got that email, they got others. Source: over 3 years ago

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  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib — the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review.... - Source: dev.to / 7 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes it’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... - Source: dev.to / 10 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 / 11 months ago

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Alternatives to CoinTracker and Matplotlib

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