Software Alternatives, Accelerators & Startups
Register | Login

UserTesting.com VS NumPy

Compare UserTesting.com VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

UserTesting.com logo UserTesting.com

Usability testing has never been easier. Get videos of real people speaking their thoughts as they use websites, mobile apps, prototypes and more!

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • UserTesting.com Landing page
    Landing page //
    2023-09-27

UserTesting enables every organization to deliver the best customer experience powered by human insight. With UserTestingโ€™s on-demand Human Insight Platform, companies across industries make accurate customer-first decisions at every level, at the speed business demands.

  • NumPy Landing page
    Landing page //
    2023-05-13

UserTesting.com

Website
usertesting.com
Pricing URL
Official UserTesting.com Pricing
$ Details
Free Trial
Release Date
2007 January
Startup details
Country
United States
State
California
City
San Francisco
Founder(s)
Darrell Benatar
Employees
500 - 999
Edit details

NumPy

Website
numpy.org
Pricing URL
-
$ Details
Release Date
-
Edit details

UserTesting.com features and specs

  • Ease of Use
    The platform is user-friendly and easy to navigate, making it simple for users to set up tests and analyze results.
  • Quality of Feedback
    Provides high-quality, detailed feedback from real users, which can be instrumental in improving user experience.
  • Quick Turnaround Time
    Enables rapid collection of feedback, often providing results within hours, which is ideal for iterative testing and fast-paced development cycles.
  • Diverse Participant Pool
    Offers access to a broad and diverse range of participants, ensuring that feedback is representative of different demographics and user types.
  • Comprehensive Analytics
    Includes robust analytics tools that help users make sense of the data collected and draw actionable insights.
  • Customizable Tests
    Allows for the creation of highly customizable tests to fit specific research needs and objectives.
  • Video Feedback
    Participants provide video recordings of their sessions, offering visual and contextual insights into user interactions.

Possible disadvantages of UserTesting.com

  • Cost
    The platform can be expensive, making it less accessible for smaller businesses or startups with limited budgets.
  • Participant Dropout
    There can be instances of participants dropping out of tests, which may require rescheduling and cause delays.
  • Limited Session Duration
    Testing sessions are often limited in duration, which might not be sufficient for more comprehensive or complex tests.
  • Dependency on External Participants
    The quality and reliability of the feedback are dependent on the external participant pool, which can sometimes be inconsistent.
  • Learning Curve
    While the platform is generally user-friendly, there can still be a learning curve for users unfamiliar with UX research methodologies.

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Analysis of UserTesting.com

Overall verdict

  • UserTesting.com is generally considered a good tool for businesses looking to conduct user research and usability testing. Its platform is user-friendly and it provides high-quality, actionable insights. However, its suitability may vary depending on the specific requirements of a project, such as budget constraints and target audience.

Why this product is good

  • UserTesting.com is a popular platform for gaining insights into user experience by allowing businesses to watch real users interact with their products or websites. It offers valuable video-based feedback from a diverse group of testers, which can help identify pain points, improve usability, and enhance customer satisfaction.

Recommended for

  • Product managers seeking to understand user interactions
  • UI/UX designers needing feedback on design elements
  • Marketing teams aiming to improve customer engagement
  • Businesses of various sizes looking to enhance their digital platforms

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

UserTesting.com videos

+ Add

Testing out UserTesting.com (LEGIT SIDE HUSTLE?!?)

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to UserTesting.com and NumPy)

UserTesting.com

NumPy

User Experience
100 100%
User Experience
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Usability
100 100%
Usability
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using UserTesting.com and NumPy. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare UserTesting.com and NumPy

UserTesting.com Reviews

10 Best Canny Alternatives and Competitors in 2025
The best way to understand your users is to put yourself in their shoes. With UserTesting, see what your customers see when they use your products and dive into user feedback to build products theyโ€™ll use daily. ๐ŸŽฏ
Source: clickup.com
11 Hotjar alternatives and competitors in 2024
UserTesting is a UX research tool that allows users to gain user insights via video feedback. UX teams can use the UserTesting panel to hire testers and delegate tasks to uncover how users interact with their product.
Source: maze.co
10 Best Hotjar Alternatives & Competitors in 2023
Plus, users can not reach any visualized data on the UserTesting dashboard and this makes it rather difficult to understand what exactly is going on on a website.
Source: www.socialpros.co
Best 8 Affordable UserZoom Alternatives in 2023
A vast quantity of worthless responses is the platformโ€™s biggest and most noticeable downside. While UserTesting has a large volunteer pool, it appears that a considerable number of them are not qualified to participate in meaningful research. Some respondents are impatient, cheat, or appear to be uninterested in the procedure, all of which detracts from the overall...
Source: blog.uxtweak.com
UserTesting vs UserZoom: Pick the right user research software in 2022
Both Usertesting and UserZoom do not have a public pricing page. Their price is available upon request and you need to register for a demo. Then a sales representative will reach out to schedule an introductory demo call with you. After the call, you are usually given an estimate and a second sales call follows. The process of acquiring and registering for a subscription...
Source: blog.uxtweak.com

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

NumPy might be a bit more popular than UserTesting.com. We know about 122 links to it since March 2021 and only 101 links to UserTesting.com. 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.

UserTesting.com mentions (101)

  • Low-cost, one-off unmoderated usability testing platforms
    Lookback, Usability Hub (now called Lyssna) and Validately but have been spoiled by former employers who had the budget for usertesting.com so I'm pretty out of the loop on low-budget options. TIA! Source: over 2 years ago
  • Interview recruiting?
    I need to recruit 5-6 parents/grandparents for a study and I'm having trouble finding a company I can use (aside from usertesting.com since they tailor to large companies and I'm doing freelance work). Every company I've come across offers recruitment for surveys, but not interviews. Source: over 2 years ago
  • iOS User Testing App Won't Open
    Anyone else having problems with the iOS UserTesting App? Mine just opens and shows the logo, and stays there. I can see multiple tests available on usertesting.com, but can't open the app. I have a iPhone 13, updated to 17.1. Source: over 2 years ago
  • ๐Ÿš€ Improve Your Site; Get Expert Reviews On Your Creation!
    User Testing Services: Platforms like UserTesting Human Insight Platform | Improve Customer Experience (CX) allow you to get feedback from real users who provide insights on usability, design, and user experience. Source: almost 3 years ago
  • Is MTurk worth it for new users? (ZERO rejections, either...)
    Try usertesting.com, it fits into your schedule better. Source: about 3 years ago
View more

NumPy mentions (122)

View more

What are some alternatives?

When comparing UserTesting.com and NumPy, you can also consider the following products

TestRail - TestRail provides comprehensive test case management for software testing. Organize your testing, boost productivity, get real-time insights, and track progress toward milestones. Integrates with leading issue tracking and test automation tools.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Sauce Labs - Test mobile or web apps instantly across 700+ browser/OS/device platform combinations - without infrastructure setup.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!

OpenCV - OpenCV is the world's biggest computer vision library

Loading...