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Koinly VS Matplotlib

Compare Koinly VS Matplotlib and see what are their differences

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

Koinly logo Koinly

Koinly is the easiest way to monitor your crypto activity & file your taxes.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Koinly Landing page
    Landing page //
    2021-10-12

Koinly is a cryptocurrency calculator trusted by crypto investors in over 20 countries. Koinly integrates with 700+ exchanges, blockchains, and wallets to give investors an easy and accurate way to track their crypto transactions in one place. From here, Koinly calculates the total capital gains and income an investor has derived from their crypto in any financial year.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

Koinly features and specs

  • User-Friendly Interface
    Koinly offers an intuitive and easy-to-navigate interface, making it accessible for both novice and experienced crypto investors.
  • Comprehensive Transaction Tracking
    The platform supports a wide range of cryptocurrencies and integrates with numerous exchanges and wallets, allowing for detailed transaction tracking.
  • Tax Reporting
    Koinly provides automated tax reports that comply with the regulations in various countries, simplifying the process of filing crypto taxes.
  • Accurate Calculations
    Koinly uses advanced algorithms to accurately calculate gains, losses, and income from your crypto activities.
  • Excellent Customer Support
    Users generally report positive experiences with Koinly's customer support, which is responsive and helpful.
  • Portfolio Insights
    The platform offers valuable insights into your crypto portfolio, including detailed analytics and performance tracking.

Possible disadvantages of Koinly

  • Cost
    While Koinly offers a free plan, advanced features and comprehensive reporting require a paid subscription, which might be expensive for some users.
  • Limited Free Plan
    The free plan has limitations on the number of transactions it can handle, which may not be sufficient for active traders.
  • Complex Transactions
    Some users have reported that the platform struggles with the accurate categorization and calculation of more complex transactions, such as DeFi activities.
  • Privacy Concerns
    Some users may be concerned about providing access to their exchange and wallet data, which involves sharing sensitive financial information with a third-party service.
  • Data Sync Issues
    Occasionally, there are reports of synchronization issues where data from exchanges or wallets doesn't update correctly or promptly.
  • Learning Curve for Detailed Features
    While basic features are user-friendly, some of the more advanced tools and customization options might have a steeper learning curve.

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 Koinly

Overall verdict

  • Overall, Koinly is considered a reliable and efficient tool for managing cryptocurrency taxes. It is well-suited for individuals who seek an automated solution to handle their crypto tax responsibilities and wish to ensure compliance without hassle.

Why this product is good

  • Koinly is often regarded as a good cryptocurrency tax software due to its user-friendly interface, comprehensive support for a wide range of exchanges and wallets, and its ability to generate tax reports compliant with various countries' regulations. It automates the tedious process of tracking transactions, calculating gains and losses, and preparing necessary tax documents. Additionally, it supports multiple currencies and offers detailed features that cater to both casual investors and professional traders.

Recommended for

  • Cryptocurrency investors seeking an easy-to-use tax solution
  • Frequent traders needing comprehensive transaction tracking
  • Individuals looking for a software compatible with various international tax jurisdictions
  • Users who want to automate their tax reporting process

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.

Koinly videos

+ Add

Rippleโ€™s Shareholder SBI Invest in QIWI. Ripple Unleashes 1B XRP. Koinly to Add Support for XRP!

More videos:

  • Review - Koinly Review - Paying Taxes on Crypto The Easy Way
  • Review - Koinly Review: The BEST for Crypto Taxes?

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Koinly and Matplotlib)

Koinly

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 Koinly 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 Koinly and Matplotlib

Koinly Reviews

Best Cryptocurrency Tax Software: Complete Guide to the Top Options
The automated data import is available via either an API exchange connection or by adding cryptocurrency wallet addresses. Data on margin trading, futures trading, staking, lending and DeFi can also be imported. An interesting feature is Koinlyโ€™s smart transfer matching, which leverages an artificial intelligence system to detect transfers that are made between your personal...
Source: blockonomi.com
14 Best Crypto Tax Software to Ease Your Calculation and Be Compliant
Koinly has a very generous free subscription that permits up to 10,000 transactions with lots of additional features. It supports the usual FIFO, LIFO, average cost basis, etc., for tax accountancy.
Source: geekflare.com
15 Best Koinly Alternatives 2022
As the name suggests, CryptoTax Calculator provides easy-to-understand tax calculations with customizable rules to support your unique tax needs. CryptoTax Calculator is an excellent Koinly substitute that does a better job than Koinly in giving powerful and accurate tax reports.
Source: rigorousthemes.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, Koinly should be more popular than Matplotlib. It has been mentiond 306 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.

Koinly mentions (306)

  • Tax Question. If i buy $1000 worth of crypto and sell 50% on a double and then let the balance ride. Am i exempt from paying tax on that transaction?
    Every transaction you make with crypto is a taxable event. Even buying something with your bitcoin is a taxable event. So instead of looking at your balance, you have to look at each and every transaction and see how much you paid for the asset, how much you sold it for, and how long you held it. The ATO will also want a report on your crypto transactions, which you can get from koinly.io. That will also... Source: over 2 years ago
  • 48-nation bloc to crack down on using crypto assets to avoid tax
    Https://koinly.io/ is a popular recommendation here in Denmark. Denmark may have the worst possible taxation for crypto: every time you sell, use or convert your crypto, that's an event where you have to calculate your gains or losses. Gains are taxed like personal income (so up to 53% tax), but losses can only be deducted at 26% they do not offset the gains directly. A school teacher speculating in crypto ended... - Source: Hacker News / over 2 years ago
  • Questions about defi
    -is it possible to track swaps and trades I'm making in defi via koinly.io or another tax tracking provider? I want to take advantage of long term capital gains vs short term whenever possible. Source: about 3 years ago
  • I made around 90K profit from a meme coin (crypto)recently and Iโ€™m 18 years old and have no idea how to go about taxes. Please help me . Also what could I do with my profits ?
    Every trade where you go from 1 coin to another is a capital gains event. Take a look into https://koinly.io/ to calculate it for you. Source: about 3 years ago
  • Staked ETH Rewards on Coinbase
    I just bit the bullet and pay koinly.io to do it for me. The one thing I like about it is you can tag staked transaction (eth to eth2) as swaps so they don't show up on your taxes. It's actually free until you want them to generate a tax form for you. 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 / 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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What are some alternatives?

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

CoinTracker - The most trusted cryptocurrency tax and portfolio manager

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

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

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

Coinpanda - Calculate & file tax reports for Bitcoin and cryptocurrencies. Made for traders and investors.

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

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