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UserVoice VS NumPy

Compare UserVoice VS NumPy and see what are their differences

HearBack.app
HearBack helps businesses collect and manage customer feedback to improve their Google reviews and online reputation. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

UserVoice logo UserVoice

UserVoice integrates easy-to-use feedback, helpdesk, and knowledge base management tools in one platform that empowers users to speak and companies to understand.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • UserVoice Landing page
    Landing page //
    2023-10-14
  • NumPy Landing page
    Landing page //
    2023-05-13

UserVoice features and specs

  • User Feedback Gathering
    UserVoice allows businesses to collect feedback directly from users, helping to prioritize product improvements based on actual user needs.
  • Customization
    The platform is highly customizable, which allows organizations to tailor it to their specific needs and branding requirements.
  • Integration with Other Tools
    UserVoice integrates with other popular tools like Slack, Jira, and Salesforce, making it easier to consolidate feedback and manage workflows.
  • Analytics and Reporting
    Robust analytics and reporting tools provide actionable insights into user feedback trends and sentiment.
  • User Engagement
    Features like voting and commenting encourage user participation and create a sense of community.
  • Scalability
    The platform can scale to accommodate organizations of various sizes, from startups to large enterprises.

Possible disadvantages of UserVoice

  • Pricing
    UserVoice can be expensive for small businesses or startups, making it less accessible for organizations with limited budgets.
  • Learning Curve
    There can be a steep learning curve for new users, which might require additional training and onboarding.
  • Limited Customization at Lower Tiers
    While the platform is customizable, lower-tier plans offer limited customization options compared to higher-tier plans.
  • Complexity
    Advanced features and integrations can add complexity, which may require dedicated staff for proper management.
  • Response Time
    Some users have reported slower response times from customer support, which can be frustrating during critical issues.
  • Feature Clutter
    The abundance of features can sometimes feel overwhelming, making navigation and usage less intuitive for some users.

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 UserVoice

Overall verdict

  • UserVoice is a good solution for businesses looking to systematically incorporate customer feedback into their product development process. It is particularly beneficial for organizations seeking to improve customer engagement and make data-driven decisions.

Why this product is good

  • UserVoice is a popular platform for gathering and managing customer feedback. It provides tools for users to submit, vote, and discuss ideas, which can help companies prioritize product development based on customer demand. The platform is praised for its ease of use, integration capabilities with other tools, and its robust reporting features, which allow businesses to track feedback trends and measure customer satisfaction effectively.

Recommended for

    UserVoice is recommended for medium to large-sized businesses, product managers, customer experience teams, and any organization looking to foster a more interactive relationship with their customer base to drive product improvements. It suits industries where customer feedback is a critical component of growth and innovation, such as technology, software development, and digital services.

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.

UserVoice videos

+ Add

UserVoice Review

More videos:

  • Tutorial - How to Use Customer Feedback on Your Product by UserVoice CEO
  • Review - UserVoice

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 UserVoice and NumPy)

UserVoice

NumPy

Customer Feedback
100 100%
Customer Feedback
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
User Feedback
100 100%
User Feedback
0% 0
Data Science Tools
0 0%
Data Science Tools
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 UserVoice and NumPy

UserVoice Reviews

10 Best Canny Alternatives and Competitors in 2025
UserVoice is a Canny.io alternative that dives deeper into customer feedback. While Canny offers feedback based on upvoting, UserVoice goes further by collecting feedback from multiple avenues including email, questionnaires, chat, and automated feedback forms. Use this tool to leverage user feedback and build more innovative products. โš’๏ธ
Source: clickup.com
17 Best Canny Alternatives in 2024
UserVoice is a customer feedback management tool that helps you collect, organize and prioritize all of your feedback in one place. UserVoice is the most complete and most popular tool for collecting feedback from your users and employees. It is also one of the few tools that can handle both internal (employee) feedback and external customer feedback.
Source: supahub.com
30+ Customer Feedback Tools comparison
For optimal user experience, your customer should not sense they are leaving your website and using another platform for feedback. The look and feel of the feedback platform must be customizable to match your design. Create and organize pages with custom content with UserVoice and ClearFlask.
Source: clearflask.com
HOW TO: Set Up a Q&A Website in Minutes โ€“ the Best Options Reviewed & Compared
UserVoice is very much like GetSatisfaction with some similar aspects and several differences. UV allows your users to ask questions, suggest, vote, and comment all for feedback from you. The user experience is simplistic in its own way, offers quick accessibility, and delivers results. UserVoice aims to solve the problem of disconnection and miscommunication between you and...
Source: ecommerce-platforms.com
The 20 Best Help Desk Apps and Knowledge Base Tools for Customer Support
Customers can send in new public ideas or private messages, and your team can answer them all from one combined dashboard. There's even integrations with internet phone systems, CRMs, social networks and more to get as many of your support requests in one place as possible. UserVoice watches everything going on and combines it with your public feature requests to build a...
Source: zapier.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

Based on our record, NumPy seems to be a lot more popular than UserVoice. While we know about 122 links to NumPy, we've tracked only 8 mentions of UserVoice. 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.

UserVoice mentions (8)

  • YARWL (Yet Another Remarkable Wishlist)
    I have sent them some user stories, complete with storyboard images. I am not a beta participant though. I suggested that it would be helpful if they rolled out something like UserVoice's Feedback Manager, so there is transparency to what's in the request queue and where we users can formally vote on the value of a given feature suggestion. Source: over 3 years ago
  • Ask HN: Could you please share which SaaS you are using for your SaaS?
    - Collecting customer's feature requests: This is a tough one, I am using https://uservoice.com/ but I don't like it that much. I am searching for a self-hosted alternative to https://canny.io/. - Source: Hacker News / over 4 years ago
  • "Help us to improve your reMarkable experience"
    I think that RM should consider a solution such as UserVoice which will let the user community vote on what critical bug fixes or new features we feel are most important. Not only can a user upvote a feature request or critical fix, but they can also add comments to help substantiate their vote. Source: over 4 years ago
  • How We Use Internal Hackathons to Create New Product Features
    Six months later, UserVoice wanted to sign in with Courier and mentioned we lacked some functionalities they wanted. Specifically, they wanted to put two blocks next to each other in the notification designer. So, the sales and product team reached out to me, and I went, โ€œOh yeah, I hacked that together; it was cool but with a few bugs.โ€. - Source: dev.to / over 4 years ago
  • Move features requests from Reddit?
    Would having a proper Customer Feedback platform using something like Canny or UserVoice be useful? Source: almost 5 years ago
View more

NumPy mentions (122)

View more

What are some alternatives?

When comparing UserVoice and NumPy, you can also consider the following products

Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community

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

Canny.io - Canny helps you collect and organize feature requests to better understand customer needs and prioritize your roadmap.

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

Intercom - Intercom is a customer relationship management and messaging tool for web businesses. Build relationships with users to create loyal customers.

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

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