Software Alternatives & Reviews

Bynder VS NumPy

Compare Bynder VS NumPy and see what are their differences

Bynder logo Bynder

Bynder is a cloud-based digital asset management solution for marketing professionals looking to simplify how they manage digital content via one central portal.

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Bynder Landing page
    Landing page //
    2022-03-19

A Leader in Digital Asset Management, Bynder helps over a million creative, branding, and marketing professionals accelerate the creation of video and other content, get the right assets to the people and systems that need them, and ensure brand compliance. The Forrester Wave™ Digital Asset Management for Customer Experience, Q1 2022 report states that Bynder "leads with strong usability and portal capabilities". Bynder is used by brands like Puma, Spotify, TED, and Five Guys to get content and campaigns to market faster and accelerate the end-to-end creative content lifecycle.

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

Bynder features and specs

  • Digital Asset Management : Yes
  • Brand Guidelines: Yes
  • Creative Workflow: Yes
  • Brand Templates: Yes
  • Reporting & Analytics: Yes
  • Creative Automation: Yes
  • Enterprise service management: Yes
  • Enterprise level customizeable plans available: Yes

NumPy features and specs

No features have been listed yet.

Bynder videos

What is Bynder?

More videos:

  • Review - A Tour of Bynder's DAM
  • Review - Bynder in 5 minutes

NumPy videos

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 Bynder and NumPy)
Digital Asset Management
100 100%
0% 0
Data Science And Machine Learning
Marketing Platform
100 100%
0% 0
Data Science Tools
0 0%
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 Bynder and NumPy

Bynder Reviews

12 Best Asset Management Software For IT Teams In 2023
Why I picked Bynder: I like how the platform lets managers automate creative workflows with customizable approval paths and versioning. In my opinion, the platform’s branded templates are handy to help creative and marketing teams design new assets right on the platform.
Source: thectoclub.com
Best CMS of 2018
While it sports some handy features, Bynder is a lot more expensive than other offerings, although you can try out the service with the 14-day trial. You'll need to contact the company for exact pricing, but you should expect to pay at least $450 per month (around £345, AU$570) and prices can reach thousands. That said, the software is designed to take a good deal of strain...
Brand Management Software
More than 500,000 professionals globally (e.g. PUMA, Spotify, KLM) manage their digital assets with Bynder's award winning, cloud-based Not Provided Visit Website
5 Best Brand Management Software to Boost your Marketing Automation Success
Bynder offers a selection of branding, marketing, and digital asset management (DAM) tools for businesses of all sizes from the smallest SMB to the largest multinational enterprise. Bynder’s DAM is designed to help companies manage, maintain and distribute public and private digital assets, including videos, documents, images or any other form of digital content.

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.
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 more popular. It has been mentiond 107 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.

Bynder mentions (0)

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

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 / about 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 / about 2 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 / 6 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
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What are some alternatives?

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

Brandfolder - One link to all your marketing assets. Brandfolder is your convenient source to visually organize, quickly find and easily share all your final brand assets.

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

Pics.io - Pics.io is a cloud service that people can use to manage their creative content and files, collaborate with their peers on this content, and then share it with their clients. Read more about Pics.io.

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

Venngage - Join over 1 million people creating their own professional graphics with our easy to use infographic maker. Sign up for free and choose from 1000+ infographic templates.

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