Invision VS NumPy

Invision

Prototyping and collaboration for design teams

NumPy

NumPy is the fundamental package for scientific computing with Python

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2023-10-07

Landing page //
2023-05-13

InVision Studio Review | Here's what we think!

NumPy videos

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Learn NUMPY in 5 minutes - BEST Python Library!

Category Popularity

0-100% (relative to Invision and NumPy)

NumPy

Design Tools

100 100%

Design Tools

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

Prototyping

100 100%

Prototyping

0% 0

Data Science Tools

0 0%

Data Science Tools

100% 100

User comments

Share your experience with using Invision and NumPy. For example, how are they different and which one is better?

Reviews

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

A visual collaboration tool and best figma alternative called InVision enables communication between designers during many phases of product design, such as development, testing, and prototyping. It’s also used for UI and UX design.

Source: www.geeksforgeeks.org

Figma Alternatives: 12 Prototyping and Design Tools in 2024

Invision was created in 2011 and is one of the most powerful applications you can use in 2023 for prototyping, animation, and designing. It has over 7 million global clients and boasts some awards for its cloud-based services.

Source: mockitt.wondershare.com

5 Figma Alternatives for UI & UX Designers

InVision provides an alternative solution to FigJam. As a Figma user, you’re most likely familiar with FigJam already. If not – it is an online team-based whiteboard interface where you can work together on ideas, set plans in stone, and create visual project trajectories. InVision provides the same exact solution, focusing on affordability (it has a free plan!) and...

Source: stackdiary.com

10 Best Adobe XD Alternatives (Free & Paid)

InVision is an easy-to-use tool that makes designing delightfully simple. You can smoothly create interactive and responsive prototypes. With advanced features like multi-user collaboration, vector editing, transitions & animation tools, workflow synchronization, and robust asset libraries, it is the perfect Adobe XD alternative for creating outstanding UI designs. The tool...

Source: justcreative.com

5 Best Adobe XD Alternatives to Use In 2021

InVision also offers an add-on for popular video calling software such as Zoom and Microsoft Teams. Using that, you can brainstorm ideas with InVision whiteboard and sync them to the main software.

Source: techwiser.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 Invision. While we know about 107 links to NumPy, we've tracked only 3 mentions of Invision. 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.

Invision mentions (3)

Resources for improving UI skills
Search for UI/Design/Firma Tutorials on YouTube, check out UI related Blog posts on invisionapp.com, check out UI Inspiration muzli. Source: over 1 year ago
Migrating to Figma: is there a good alternative to the invisionapp.com website for design documentation and organization?
We have 100s of different screens to migrate as well as a really large design system, and to date we've been successfully using the invisionapp.com website to keep things really well organized and easy to navigate with tags, pages, etc. We've enjoyed this system so far because it's easy for PMs and Devs to navigate in a website format, without having to learn the design software or get bogged down in artboards. Source: almost 2 years ago
Best platform for online tutoring?
Other options: explain everything whiteboard, invisionapp.com. Source: over 2 years ago

NumPy mentions (107)

Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 2 months ago
JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 3 months ago
Introducing Flama for Robust Machine Learning APIs
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 7 months ago
Beginning Python: Project Management With PDM
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago