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Speed-Check VS Matplotlib

Compare Speed-Check VS Matplotlib and see what are their differences

Speed-Check

Speed-Check is a free, privacy-first browser speed test measuring download, upload, ping, and jitter via M-Lab NDT7 — no signup, no tracking, no app required.

Rating
0 reviews
Pricing
Free Free trial
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Alternatives Is it good?
Matplotlib

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

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0 reviews
Pricing
Open source
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Hyperview
DCIM software reinvented. sponsored
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 seems to be more popular. It has been mentioned 114 times since March 2021.

social mentions
0 vs 114
Developer Tools popularity
100% vs 0%
alternatives listed
72 vs 238

Base details

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

Speed-Check
Matplotlib
Website speed-check.net matplotlib.org
Pricing
Free Free trial Official pricing
Open source
Platforms
MacOS Windows Google Chrome Firefox Safari Edge Brave Opera Linux iOS Android Chrome OS +9
—
Company Startup from Germany · 1 - 9 employees · 2025 —
Listed in
Developer Tools Speed Test Load And Performance Testing Web App Internet Monitoring Tools +3
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1

About Speed-Check and Matplotlib

In their own words, as submitted to SaaSHub.

Speed-Check
Matplotlib

Speed-Check is a free, open, and privacy-first internet speed test that measures your download speed, upload speed, ping, and jitter directly in your browser — no signup, no app install, and no tracking of personal data. Unlike most mainstream speed tests, Speed-Check runs on the M-Lab NDT7...

Read more about Speed-Check

No description of Matplotlib yet.

Features and specs

What each product offers, as listed by its team.

Speed-Check 8 features
Matplotlib 6 features
  • Measurement protocol
    M-Lab NDT7 (same protocol Google uses) + Cloudflare endpoints
  • Metrics measured
    Download, Upload, Ping, Jitter (all shown by default)
  • Account required
    No — fully anonymous, no signup
  • Privacy
    No personal data stored, no tracking cookies, GDPR-compliant
  • Pricing
    100% free, no premium tier
  • Embeddable widget
    Free, customizable (colors/theme), 3 sizes (compact, full, gauge)
  • Browser extensions
    Chrome (Manifest V3) + Firefox (140+)
  • PWA support
    Installable on desktop & mobile, offline fallback page
  • 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.

Speed-Check
Matplotlib

Overall verdict

  • Speed-Check.net is a simple, no-frills internet speed testing tool that provides quick and accessible measurements of download, upload, and ping speeds without requiring installation or account creation.

Why this product is good

  • Free and easy to use with no signup required
  • Provides quick results for download, upload, and ping speeds
  • Accessible directly from a web browser on multiple devices
  • Lightweight interface that doesn't require heavy bandwidth to run the test itself
  • Useful for basic troubleshooting of internet connectivity issues

Recommended for

  • Casual users wanting a quick check of their internet speed
  • People troubleshooting basic connectivity issues at home
  • Users who prefer a simple, ad-light testing experience
  • Those who don't need advanced diagnostics or detailed historical data tracking

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.

Speed-Check 0 videos + Add
Matplotlib 1 video + Add

No Speed-Check videos yet. You could help us improve this page by suggesting one.

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
Speed-Check
Matplotlib
100% 100%
Developer Tools
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
Web App
0% 0%
0% 0%
Technical Computing
100% 100%

Questions & Answers

As answered by people managing Speed-Check and Matplotlib.

How would you describe the primary audience of your product?

Speed-Check's answer

Privacy-conscious internet users, remote workers, gamers, and streamers who want a fast, accurate, no-nonsense speed test — plus webmasters, bloggers, and ISPs looking for a free, embeddable widget. Secondary audiences include journalists and researchers who use the global country rankings and the open M-Lab methodology for citations.

What makes your product unique?

Speed-Check's answer

Speed-Check is an open-source, privacy-first internet speed test built on the M-Lab NDT7 protocol (the same standard Google uses) combined with Cloudflare endpoints. Unlike most competitors, it requires no account, stores no personal data on public pages, runs only a single light ad placement, and offers a completely free embeddable widget — features that are paywalled or hidden elsewhere. It also ships with dedicated Chrome and Firefox extensions, a PWA install option, and detailed country-level rankings, glossaries, and guides.

Why should a person choose your product over its competitors?

Speed-Check's answer

Because it combines accuracy with transparency: M-Lab NDT7 results within 2–5% of Ookla, but without the heavy ads, tracking, video pre-rolls, or mandatory accounts. The embeddable widget is free in three sizes (Ookla charges $300+/month for Speedtest Custom), upload/ping/jitter are shown by default (unlike Fast.com, which hides them), and the entire methodology is open and verifiable. Ideal for users, webmasters, and ISPs who value privacy, fairness, and full metrics.

What's the story behind your product?

Speed-Check's answer

Speed-Check was launched in August 2025 as an independent alternative to the ad-heavy, account-gated speed tests that dominate the market. The goal was simple: build a speed test that respects user privacy, uses open measurement protocols (M-Lab NDT7), and gives back to the web by offering a free embeddable widget and browser extensions — without ever asking for a signup.

Which are the primary technologies used for building your product?

Speed-Check's answer

React 18, Vite 5, TypeScript 5, Tailwind CSS, M-Lab NDT7 (measurement protocol), Cloudflare (CDN and edge measurement endpoints), Supabase (backend/edge functions), and PWA standards. Browser extensions are built on Manifest V3 (Chrome) and the WebExtensions API (Firefox 140+).

Who are some of the biggest customers of your product?

Speed-Check's answer

As a privacy first speed test this is unknown to us. None of our users are being tracked by size and they don't need to sign up on our website.

User comments

Share your experience with using Speed-Check 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.

Speed-Check no reviews yet
Matplotlib no reviews yet

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Social recommendations and mentions

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

Speed-Check 0 mentions
Matplotlib 114 mentions

Tracking Speed-Check since May 2026.

  • 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 / 8 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 / 11 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 Speed-Check and Matplotlib

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