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Matplotlib VS ZenLedger

Compare Matplotlib VS ZenLedger and see what are their differences

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Matplotlib logo Matplotlib

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

ZenLedger logo ZenLedger

Automated IRS tax calculation & forms for crypto investors
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • ZenLedger Landing page
    Landing page //
    2023-09-20

Track your crypto taxes like a pro. Know what you might pay in advance. Gain peace of mind! ZenLedger enables you to import transactions, calculate gains and income, and see your potential taxes as you go through the year. Gain peace of mind knowing the tax implications of your trades and holdings. Auto-fill IRS forms 8949, Schedule D, FinCen114 & FBAR.


ZenLedger helps cryptocurrency investors in any country with their tax prep and portfolio management. We create a master ledger for you and your CPA.

GET STARTED FOR FREE: https://app.zenledger.io/get_started

ZenLedger

$ Details
freemium $69.0 / Annually ("Hobbyist", "Up to 100 Transactions", "Up to $15K asset value")
Platforms
Browser Web Internet Explorer Google Chrome
Release Date
2017 January

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.

ZenLedger features and specs

  • Comprehensive Integration
    ZenLedger supports a wide range of cryptocurrency exchanges and wallets, allowing users to easily import and track their crypto transactions.
  • User-Friendly Interface
    The platform offers an intuitive interface making it accessible for both novice and experienced users to navigate and manage their crypto taxes efficiently.
  • Tax Report Generation
    ZenLedger automatically generates various tax documents, such as capital gains reports and income statements, which simplify the tax filing process for users.
  • Customer Support
    Users have access to robust customer support, including helpful resources and a responsive team to assist with issues or questions.
  • Data Security
    ZenLedger emphasizes data security, ensuring that user data is encrypted and protected with industry-standard security measures.

Possible disadvantages of ZenLedger

  • Pricing
    ZenLedger's pricing plans can be relatively expensive for users with a high volume of transactions, potentially making it less accessible for small investors.
  • Learning Curve
    Despite its user-friendly design, there can still be a learning curve for users unfamiliar with tax software or cryptocurrency bookkeeping.
  • Feature Limitations
    Some advanced features and detailed reporting tools may be limited to higher-tier plans, possibly restricting access for users on basic plans.
  • Transaction Limit
    Certain pricing plans may restrict the number of transactions that can be processed, which might require users exceeding those limits to pay for a higher-tier plan.
  • Occasional Bugs
    Users have reported occasional bugs and glitches in the software, which can affect the overall experience and functionality of the platform.

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.

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

ZenLedger videos

HOW TO PAY CRYPTO TAXES USING ZENLEDGER

More videos:

  • Review - Crypto Taxes: Easy Cryptocurrency Tax Prep with ZenLedger!
  • Tutorial - How to use ZenLedger.io crypto tax tool

Category Popularity

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

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...

ZenLedger Reviews

Best Cryptocurrency Tax Software: Complete Guide to the Top Options
Many people often vouch for ZenLedger as one of the fastest and friendliest tax tools for cryptocurrency traders, investors, and accountants. The website is well-known for its broad coverage, multiple currency/exchange support, IRS friendly integrations, and multiple payment plans. A unique aspect about ZenLedger is its personalized tax service, as the platform facilitates...
Source: blockonomi.com
14 Best Crypto Tax Software to Ease Your Calculation and Be Compliant
Itโ€™s compatible with HIFO, LIFO & FIFO reporting methods. You can have unlimited exchange platforms with ZenLedger. In addition, it lets you report a variety of crypto income, including DeFi, NFTs, staking, donations, mining, etc.
Source: geekflare.com
15 Best Koinly Alternatives 2022
ZenLedger is a crypto tax tool that can work perfectly in the place of Koinly. ZenLedger saves you the unsettling stress of calculating crypto taxes for thousands of transactions in three simple ways.

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than ZenLedger. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of ZenLedger. 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
View more

ZenLedger mentions (5)

  • If you are mining as a company (LLC in my case) How are you guys/gals paying yourself from your mining profits? I want to just send to my Coinbase and cash some tendies.
    I have an exchange account for both the business and personal. I keep both accounts separate, which is a little annoying. All coins are mined into software wallets that I move weekly to the exchange. (This is to avoid burning up hardware wallets that don't like complex transactions). I also use two zenledger.io accounts (one for each business and personal) to track taxes/mining/sales/etc... Currently selling a... Source: over 4 years ago
  • ZenLedger For Taxes
    Anyone used https://zenledger.io for tax reporting? Started using it yesterday - it was recommended by Bankless. Looks great so far. Source: over 4 years ago
  • Hey guys, question about return %
    You'll need to import your data into something like zenledger.io to see your gains/loses. Or else you'll have to keep track of it with a spreadsheet. Source: over 4 years ago
  • I made a mistake and didnโ€™t realize the seriousness of tax. Any help would be appreciated.
    Look for a service where you can sync your wallets and generate the forms and transaction lists. not sure if these handle your wallet(s) but koinly.io and zenledger.io are a couple of them. Source: almost 5 years ago
  • Crypto tax software recommendation
    We always recommend bitcoin.tax or zenledger.io. However, no software (to my knowledge) will properly report income like staking rewards automatically--you have to mark those transactions as income yourself. They don't always play nice with wallets, either. Source: almost 5 years ago

What are some alternatives?

When comparing Matplotlib and ZenLedger, 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.

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

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.

TokenTax - Crypto taxes made easy. TurboTax for cryptocurrency.