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Bynder VS Pandas

Compare Bynder VS Pandas and see what are their differences

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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.

Pandas logo Pandas

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

  • Pandas Landing page
    Landing page //
    2023-05-12

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

Pandas features and specs

No features have been listed yet.

Bynder videos

+ Add

What is Bynder?

More videos:

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

Pandas videos

+ Add

Ozzy Man Reviews: Pandas

More videos:

  • Review - Ozzy Man Reviews: PANDAS Part 2
  • Review - Trash Pandas Review with Sam Healey

Category Popularity

0-100% (relative to Bynder and Pandas)

Bynder

Pandas

Digital Asset Management
100 100%
Digital Asset Management
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Marketing Platform
100 100%
Marketing Platform
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 Bynder and Pandas

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...
Source: www.techradar.com
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
Source: www.capterra.com
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.
Source: brandthechange.com

Pandas Reviews

25 Python Frameworks to Master
Pandas is a powerful and flexible open-source library used to perform data analysis in Python. It provides high-performance data structures (i.e., the famous DataFrame) and data analysis tools that make it easy to work with structured data.
Source: kinsta.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When it comes to ETL, you can do almost anything with Pandas if you're willing to put in the time. Plus, pandas is extraordinarily easy to run. You can set up a simple script to load data from a Postgre table, transform and clean that data, and then write that data to another Postgre table.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, Pandas seems to be more popular. It has been mentiond 198 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.

Pandas mentions (198)

  • AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
    Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 15 days ago
  • Pandas reset_index(): How To Reset Indexes in Pandas
    In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 8 days ago
  • Deploying a Serverless Dash App with AWS SAM and Lambda
    Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
  • Stuff I Learned during Hanukkah of Data 2023
    Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
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What are some alternatives?

When comparing Bynder and Pandas, 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.

NumPy - NumPy is the fundamental package for scientific computing with 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

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