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NumPy VS Frill

Compare NumPy VS Frill and see what are their differences

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

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Frill logo Frill

A better way to collect customer feedback
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Frill Landing page
    Landing page //
    2023-08-20

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.

Frill features and specs

  • User-friendly Interface
    Frill offers an intuitive and easy-to-navigate user interface, making it accessible for users of all experience levels.
  • Customizable Boards
    Users can customize their feedback boards to align with their brand's aesthetics and requirements, providing a more personalized experience.
  • Feature Prioritization
    Frill enables teams to prioritize suggestions and feedback, helping to focus on the most impactful changes and enhancements.
  • Integration with Popular Tools
    Frill integrates seamlessly with other popular tools and platforms, such as Slack, Zapier, and Intercom, promoting better workflow efficiency.
  • Public and Private Boards
    Frill allows for the creation of both public and private boards, giving flexibility in sharing feedback and ideas internally or with customers.

Possible disadvantages of Frill

  • Cost
    Frill offers various pricing plans, which might be expensive for small businesses or startups with limited budgets.
  • Limited Advanced Features
    While Frill is user-friendly, it may lack some advanced features required by larger enterprises with more complex feedback management needs.
  • Dependency on Integrations
    For full functionality, users may rely heavily on integrations with other tools, which can be a limitation if those tools are not already in use.
  • Learning Curve for Customization
    Despite its user-friendly nature, there might be a slight learning curve for users to fully customize their boards and utilize all features effectively.
  • Limited Analytics
    The platform might offer limited in-depth analytics compared to specialized feedback analysis tools, which can be a drawback for data-driven decision-making.

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.

Analysis of Frill

Overall verdict

  • Overall, Frill.co is a good choice for businesses looking for a streamlined way to handle product feedback and manage their development process. Its intuitive interface and comprehensive features make it a valuable tool for both small and medium-sized businesses aiming to improve their product offerings based on customer insights.

Why this product is good

  • Frill.co is a product feedback and roadmap tool designed to help companies gather and manage customer feedback more effectively. It provides features like idea boards, where users can submit and vote on ideas, roadmaps to keep track of development progress, and changelogs to announce updates. These tools can enhance customer engagement and ensure product development aligns with user needs.

Recommended for

    Frill.co is particularly recommended for product managers, SaaS companies, and startups looking to prioritize and manage user feedback effectively. It is also beneficial for teams looking to enhance customer interaction and transparency by clearly communicating product development progress and updates.

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

Frill videos

+ Add

Frill review | Collect Your Customer Feedback

More videos:

  • Review - LA Colors Nail Frill review
  • Review - Bass Fishing Review Chasebaits Frill Seeker Wakebait

Category Popularity

0-100% (relative to NumPy and Frill)

NumPy

Frill

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

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

Frill Reviews

  1. Denis Anisimov
    ยท CTO at Introwise ยท
    Easy to embed and customize

    We are using Frill to collect user feedback and feature requests, as well as post announcements about new feature updates to our users.

    I love how easy it was to connect Frill with our own system, including SSO support for seamless users authentication. We also integrated the Frill widget right into our product user's dashboard so it's easy to distribute announcements and collect new feature ideas this way.

    One of the most satisfying product experiences I've had with a tool for our business. Their customer support is top-notch as well.

    ๐Ÿ Competitors: Nolt.io, Upvoty
    ๐Ÿ‘ Pros:    Inexpensive|Customizable|Fast|Great customer support|Well designed
  2. Sam Hulick
    ยท CEO at ReelCrafter ยท
    Best one!

    Frill is thoughtfully designed and simple to use while offering a complex and powerful level of customizability. It integrates seamlessly into our web app and has become a crucial part of the feedback loop with our customers

    ๐Ÿ Competitors: Canny.io
10 Best Canny Alternatives and Competitors in 2025
Frill is a customer feedback management tool you can use as a web app or widget. Use the customization features to build unique boards where you brainstorm ideas and meet customer needs. ๐Ÿง 
Source: clickup.com
Top 10 FeatureBase alternatives you should evaluate in 2024
With its simple design and easier supports, Frill (opens in new tab) can be one of the best alternatives for Featurebase. Frill has an updated and modern UI and it is simple to use. Also Frill is a language friendly software which can translate into any language. Though it has several attracting features, Frillโ€™s drawback should also be taken into consideration.
Source: featureos.app
17 Best Canny Alternatives in 2024
Frill helps companies engage with their customers, gather feedback and prioritize feature requests. It also allows companies to create online communities where users can discuss products and services with each other.
Source: supahub.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Frill. While we know about 122 links to NumPy, we've tracked only 2 mentions of Frill. 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.

NumPy mentions (122)

View more

Frill mentions (2)

What are some alternatives?

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

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.

Featurebase - The all-in-one toolkit for managing your customer feedback.

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

productboard - Beautiful and powerful product management.

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