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Shutterstock VS assertpy

Compare Shutterstock VS assertpy and see what are their differences

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

Shutterstock logo Shutterstock

Shutterstock is a provider of stock photos, illustrations, and vector art. The website allows individuals to purchase a subscription and download copyrighted art for creative projects. Read more about Shutterstock.

assertpy logo assertpy

A straightforward assertion library for Python.
  • Shutterstock Landing page
    Landing page //
    2023-09-20
  • assertpy Landing page
    Landing page //
    2022-11-06

Shutterstock features and specs

  • Large Library
    Shutterstock offers millions of high-quality images, videos, and music tracks, providing a diverse and extensive selection for users.
  • Search Functionality
    Advanced search and filtering options make it easy to find exactly what you're looking for quickly.
  • Flexible Pricing Plans
    A variety of subscription plans and on-demand options allow users to select a payment method that fits their budget and needs.
  • High-Quality Content
    Stringent quality controls ensure that users have access to professional and high-resolution media.
  • Royalty-Free License
    All content is royalty-free, providing users with the peace of mind of knowing they can use the media without ongoing costs.
  • User-Friendly Interface
    The platform is designed to be intuitive and easy to navigate, even for those who are not tech-savvy.
  • API Access
    Shutterstock provides API access for businesses that need to integrate media directly into their own applications.

Possible disadvantages of Shutterstock

  • Cost
    Shutterstock can be relatively expensive, especially for individuals or small businesses with limited budgets.
  • Subscription Limitations
    Some subscription plans have limits on the number of downloads per month, which can be restrictive for high-demand users.
  • Stock Feel
    Some users feel that the images and videos can have a 'stock' or generic appearance, which may not suit all creative projects.
  • Watermarked Previews
    Previews of media assets have watermarks, making it difficult to fully assess an image's suitability before purchase.
  • Occasional Inconsistency
    Despite quality controls, there can be occasional inconsistency in the quality of available media.
  • Overused Content
    Popular images and videos may be widely used across multiple platforms, reducing originality in projects.
  • Complex Licensing for Commercial Use
    While content is royalty-free, licensing terms for commercial use can sometimes be complex and require careful review.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of Shutterstock

Overall verdict

  • Yes, Shutterstock is considered a good resource for individuals and businesses seeking diverse and quality digital media assets.

Why this product is good

  • Shutterstock provides a vast collection of high-quality images, videos, and music tracks, catering to a wide range of creative and commercial needs. It offers flexible licensing options and easy-to-use tools for editing and customizing content. The platform is known for its reliability and the comprehensiveness of its library.

Recommended for

  • Graphic designers looking for stock images and vectors.
  • Content creators needing royalty-free music and video clips.
  • Marketing professionals seeking visuals for campaigns.
  • Web developers requiring images for websites and mobile apps.
  • Businesses of all sizes in need of customizable and scalable media solutions.

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Shutterstock videos

+ Add

How Much Money Can You Make on SHUTTERSTOCK in Your First Year? Earnings, Best Sellers, and Thoughts

More videos:

  • Review - Stock Photography for Beginners | Is Shutterstock Worth it in 2020?
  • Tutorial - Shutterstock Contributor Tutorial and Tips for Beginners

assertpy videos

No assertpy videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Shutterstock and assertpy)

Shutterstock

assertpy

Image Marketplace
100 100%
Image Marketplace
0% 0
Testing
0 0%
Testing
100% 100
Photos & Graphics
100 100%
Photos & Graphics
0% 0
Python
0 0%
Python
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 Shutterstock and assertpy

Shutterstock Reviews

12 Best Sites Like Freepik For Downloading Photos
You must have heard of Shutterstock before and if not, itโ€™s high time that we make it familiar to you. Headquartered in New York, Shutterstock is one of the biggest such websites out there. More than 1 million users worldwide share their content on the platform. More than 1 billion images, video clips, and music tracks have been downloaded through the platform. Also, stock...
Source: www.devdude.com
The best Freepik alternatives 2023
Shutterstock provides over 400 million stock images compared to Freepikโ€™s 41 million. It also offers more advanced features, flexible licensing options, and higher maximum image resolutions. The drawback is that Shutterstock is more expensive. But with its vastly larger library and premium features, it can be worth it for professional needs.
Source: photutorial.com
The Complete List of Video Marketing Tools (Updated for 2022)
Shutterstock is arguably the largest stock-anything site with more than 14 million stock footage, music, and images available in their library. If you know youโ€™re going to need many stock content, you canโ€™t go wrong with Shutterstock.
Source: breadnbeyond.com

assertpy Reviews

We have no reviews of assertpy yet.
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Social recommendations and mentions

Based on our record, Shutterstock seems to be more popular. It has been mentiond 19 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.

Shutterstock mentions (19)

  • [HELP!] I need your feedback about my creations!
    Other reputable places to sell vector artwork online are shutterstock.com, and stock.adobe.com Each will have their own requirements and tutorials for submitting artwork. You can also start your own page on Etsy.com. Source: over 2 years ago
  • I just started my first freelance job. Am I expected to source my own stock photos or do I ask?
    "Freelance" means, "You're on your own, kid." However, all of the things you ask are possible--access to your client's assets, buy your own and bill them, source free images. shutterstock.com is one of my favorites. I was searching for free/royalty free images endlessly until I just bought a monthly subscription. The time savings makes up for the time spent scouring the internet. Good luck and have fun!... Source: over 3 years ago
  • "you coolio" is too offensive i guess
    Just found out the image had "shutterstock.com" on it. Source: over 3 years ago
  • Y2K Aesthetic - how do I create a Y2K computer browser?!
    Go to shutterstock.com and type in these exact keywords. Vaporwave, windows 98, y2k computer browser. You should get a ton of vector assets that will help cut your design time in half. Source: over 3 years ago
  • Where to find graphics like blood splatter, dirt, lightning etc. for use in photoshop?
    Look for royalty-free images. You may try shutterstock.com if you need more and are ok to make a subscription or unsplash.com if you want free images. Moreover you may try deviantart.com or google search for blood splatter. Source: almost 4 years ago
View more

assertpy mentions (0)

We have not tracked any mentions of assertpy yet. Tracking of assertpy recommendations started around Mar 2021.

What are some alternatives?

When comparing Shutterstock and assertpy, you can also consider the following products

Adobe stock - Search Adobe Stock for millions of royalty-free stock images, photos, graphics, vectors, video footage and more. Try risk-free today. Homepage - Buy this stock .

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

Unsplash - Unsplash is a website with high-quality free HD images. It has a catalog of more than three hundred thousand striking images that are neatly organized with tags. Read more about Unsplash.

Pexels - Find the best free stock images about Browser Home Page. Download all photos and use them even for commercial projects.

Pixabay - Over 270,000 free photos, vectors and art illustrations

Depositphotos - Depositphotos offers you over 50,000,000 stock photos and vector illustrations for as low as...

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