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Uploadcare VS Matplotlib

Compare Uploadcare VS Matplotlib and see what are their differences

Uploadcare

File uploading, media processing & content delivery for modern web apps

Rating
0 reviews
Pricing
Freemium $79 / Monthly (100,000 monthly operations, 75 GB monthly traffic, 50 GB storage)
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Alternatives Is it good?
Matplotlib

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

Rating
0 reviews
Pricing
Open source
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Alternatives Is it good?
BusinessLOG SOC
A centralized log management and SIEM platform built for compliance, auditing, anomaly detection, and infrastructure visibility. 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 a lot more popular than Uploadcare. While we know about 114 links to Matplotlib, we've tracked only 11 mentions of Uploadcare.

social mentions
11 vs 114
Digital Asset Management popularity
100% vs 0%
alternatives listed
240+ vs 238

Base details

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

Uploadcare
Matplotlib
Website uploadcare.com matplotlib.org
Pricing
Freemium $79 / Monthly (100,000 monthly operations, 75 GB monthly traffic, 50 GB storage) Official pricing
Open source
Platforms
Browser ReactJS iOS Angular Android PHP Python Ruby JavaScript Java Swift Shopify Zapier Webflow +11
—
Company 2011 —
Listed in
Content Delivery Network Digital Asset Management File Management Image Optimisation Object Storage +2
Data Science And Machine Learning Development Data Visualization Javascript UI Libraries +1

About Uploadcare and Matplotlib

In their own words, as submitted to SaaSHub.

Uploadcare
Matplotlib

Uploadcare is file management platform and a CDN for user-generated content. It is a robust file API for uploading, managing, processing, rendering, optimizing and delivering users’ content.

Read more about Uploadcare

No description of Matplotlib yet.

Features and specs

What each product offers, as listed by its team.

Uploadcare 5 features
Matplotlib 6 features
  • Uploading widget, API
    Demo Plan
  • Delivery through a CDN
    Demo Plan
  • Auto-moderation on upload
    Pro Plan
  • Automated image optimization
    Pro Plan
  • Automated AVIF compression
    Business Plan
  • 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.

Uploadcare
Matplotlib

Overall verdict

  • Overall, Uploadcare is considered a good option for those looking for a reliable and feature-rich file management solution. Its ability to handle complex file workflows efficiently is appreciated by many users, particularly developers and teams working on content-heavy projects.

Why this product is good

  • Uploadcare is a popular file management platform that provides robust features like file uploading, processing, and storage solutions. It is favored for its ease of use, flexibility, and ability to integrate seamlessly with various types of web and mobile applications. The platform supports a wide range of file types and comes with powerful APIs for developers. It also includes features such as adaptive image delivery and custom image transformations, which are particularly useful for web development.

Recommended for

    Uploadcare is recommended for developers, startups, and businesses looking for a scalable file handling and storage solution. It's particularly valuable for companies that need to process large volumes of media files, require custom API integration, or want to optimize media delivery for better website performance.

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.

Uploadcare 4 videos + Add
Matplotlib 1 video + Add

How to Integrate Uploadcare Widget in React JS

More videos

  • - Why people 💛 Uploadcare
  • - Awesome uploads with Uploadcare: CDN (4/4)
  • - Uploadcare for iOS GitHub demo

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
Uploadcare
Matplotlib
100% 100%
Digital Asset Management
0% 0%
0% 0%
Data Science And Machine Learning
100% 100%
100% 100%
Image Optimisation
0% 0%
0% 0%
Technical Computing
100% 100%

Questions & Answers

As answered by people managing Uploadcare and Matplotlib.

Who are some of the biggest customers of your product?

Uploadcare's answer

  • StackShare
  • Prezly
  • Webflow
  • Mozilla
  • L'Oréal

What's the story behind your product?

Uploadcare's answer

While Uploadcare products have been disrupting the traditional content delivery market since 2011, the company has now become a reliable technologicalpartner in marketplaces, e-commerce, e-learning, SaaS, and healthcare industries.

How would you describe the primary audience of your product?

Uploadcare's answer

The platform fits the developers' needs, from building passion projects and simple websites to large-scale applications managing tons of digital media.

User comments

Share your experience with using Uploadcare 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.

Uploadcare no reviews yet
Matplotlib no reviews yet

We have no reviews of Uploadcare yet. Be the first one to post

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Social recommendations and mentions

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

Uploadcare 11 mentions
Matplotlib 114 mentions
  • 5 Must-Watch Tutorials to Build Your SaaS App in 2025
    In this tutorial, you’ll create a Next.js project with TailwindCSS and build custom authentication pages for Clerk without the watermark. This means you’ll create a custom Clerk authentication component, allowing you to have a UI without... - Source: dev.to / over 1 year ago
  • Ideas to make money as solo dev
    There are some services out there like https://uploadcare.com/ and https://www.filestack.com/ but they offer lots of stuff and are not cheap. My idea is to have an APIaaS and offer simpler ways to integrate with one or multiple... - Source: Hacker News / about 2 years ago
  • How to upload files using JavaScript
    Feel free to learn more about Uploadcare, and explore other tutorials, such us how to upload files with React or Angular, or considering what kind of magic you can do with the uploaded images following our extracting colors guide 🎨. - Source: dev.to / about 3 years ago

View more

  • 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

View more

Alternatives to Uploadcare and Matplotlib

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

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