Software Alternatives & Startups

Matplotlib VS Mercury

Compare Matplotlib VS Mercury and see what are their differences

Matplotlib

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

Rating
0 reviews
Pricing
Open source
Mercury

Mercury is banking* for startups

Rating
5.0 · 1 review
Pricing
Free
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?

Based on our record, Matplotlib should be more popular than Mercury. It has been mentioned 114 times since March 2021.

social mentions
114 vs 37
Data Science And Machine Learning popularity
100% vs 0%
alternatives listed
240+ vs 225

Base details

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

Matplotlib
Mercury
Website matplotlib.org mercury.com
Pricing
Open source
Platforms —
Web iOS Android
Company — Startup from the United States · 2019
Listed in

About Matplotlib and Mercury

In their own words, as submitted to SaaSHub.

Matplotlib
Mercury

No description of Matplotlib yet.

Mercury offers banking* for startups — at any size or stage. With an intuitive product experience, founders can access free checking and savings accounts, debit and credit cards, domestic and international wire transfers, Treasury, venture debt, and more — and manage their business with...

Read more about Mercury

Features and specs

What each product offers, as listed by its team.

Matplotlib 6 features
Mercury 5 features
  • 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.
  • Ease of Use
    Mercury offers a user-friendly interface that simplifies banking for startups and small businesses, making it easy to manage accounts, transfer funds, and monitor transactions.
  • No Monthly Fees
    Mercury does not charge monthly fees or require minimum balances, which is beneficial for new businesses trying to manage their finances effectively.
  • Automated Bookkeeping
    Mercury provides integrated bookkeeping tools, facilitating accounting processes by automatically syncing transactions with popular accounting software like QuickBooks and Xero.
  • FDIC Insured
    Mercury accounts are FDIC-insured up to $250,000 through its partner banks, providing peace of mind regarding the safety of your deposits.
  • Multiple User Accounts
    The platform allows multiple user accounts with customizable permissions, making it easier for teams to collaborate on financial management securely.

Possible disadvantages

  • Limited Physical Presence
    Mercury operates entirely online, which can be a drawback for businesses that prefer or require in-person banking services.
  • No Cash Deposits
    Mercury does not support cash deposits, which can be inconvenient for businesses that deal with a significant amount of cash transactions.
  • Limited Lending Options
    Mercury offers fewer lending products compared to traditional banks, which might be a limitation for businesses seeking comprehensive financing solutions.
  • Customer Service
    While often responsive, customer service is primarily conducted through online channels, which some users may find less satisfactory compared to face-to-face interactions.
  • No International Wire Transfers
    Mercury does not support international wire transfers, which can be a significant limitation for businesses operating globally.

Analysis

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

Matplotlib
Mercury

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.

Overall verdict

  • Mercury is generally considered a good option for startups and tech companies that want a hassle-free banking solution with modern digital tools. It is particularly beneficial for those seeking an online-focused bank with no hidden fees.

Why this product is good

  • Mercury is an online bank that is designed specifically for startups and tech companies. They offer a range of features that cater to the needs of small businesses, such as seamless integration with accounting software, no monthly fees, and no minimum balance requirements. Additionally, Mercury provides a user-friendly digital interface, allowing entrepreneurs to manage their finances with ease. Their customer service is often praised for being responsive and helpful.

Recommended for

  • Startups
  • Tech companies
  • Small businesses looking for digital banking solutions
  • Entrepreneurs wanting a no-fee account

Videos

Walkthroughs and reviews on video.

Matplotlib 1 video + Add
Mercury 3 videos + Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Mercury Movie Review - Prabhu Deva, Karthik Subburaj - Tamil Talkies

More videos

  • - Mercury review by Prashanth
  • - Mercury 150 Four Stroke Review Performance Reliability One Year Later - Florida Sport Fishing TV

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
Matplotlib
Mercury
0% 0%
100% 100%
100% 100%
0% 0%
0% 0%
100% 100%

User comments

Share your experience with using Matplotlib and Mercury. 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.

Matplotlib no reviews yet
Mercury 5.0 · 1 review

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  • The best for Non-Residents
    SaaSHub review
    · May 2023

    The best in the market for helping US non-residents get a checking bank account for their US companies. Mercury's secure experience takes founders to another level in their global journey.

Social recommendations and mentions

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

Matplotlib 114 mentions
Mercury 37 mentions
  • 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 / 10 months ago

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  • How to Form a US LLC as a Non-Resident (2026 Complete Guide)
    Banking and payment processor access. Stripe, PayPal, and most US processors require a US entity. An LLC with an EIN gets you into Mercury, Relay, Wise Business, and other neobanks that accept non-resident founders. See Mercury vs Wise... - Source: dev.to / 6 months ago
  • Sonos CEO Patrick Spence steps down after app update debacle
    Interestingly, Mercury [0] is VC-backed, and their backend is entirely Haskell. In an interview [1], their CTO mentions that it’s actually quite easy to hire for Haskell, as the demand is much lower than the supply, and, as he slyly puts... - Source: Hacker News / over 1 year ago
  • Haskell vs. Ada vs. C++ vs. an Experiment in Software Prototyping Productivity [pdf]
    I work on one of the largest Haskell codebases in the world that I know of (https://mercury.com/). We're in the ballpark of 1.5 million lines of proprietary code built and deployed as effectively a single executable, and of course if you... - Source: Hacker News / almost 2 years ago

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Alternatives to Matplotlib and Mercury

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