Software Alternatives, Accelerators & Startups

DBGallery VS Pandas

Compare DBGallery VS Pandas and see what are their differences

DBGallery logo DBGallery

DBGallery is a digital asset management cloud service (SaaS) and on-prem web-server software package for a range of team sizes.

Pandas logo Pandas

Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
  • DBGallery Landing page
    Landing page //
    2022-05-25

DBGallery, an abbreviation of Database Gallery, allows you to centrally store, manage, catalogue, archive and securely share your image, video, and document files. Keep track of different versions and detect duplicates. Its search capabilities make files easy to find and an intuitive modern interface makes it easy to use. Workflow and other team features provide a collaborative environment for those inside and outside an organization.

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

DBGallery

$ Details
paid Free Trial $198.0 / Monthly (Paid plans start with 5 users and 250GB of storage.)
Platforms
Web REST API Browser

DBGallery features and specs

  • Version Control: Yes
  • Team Collaboration: Yes
  • Image management: Yes
  • Activity history: Yes
  • Rest API Integration: Yes
  • Custom Data Fields: Yes
  • Workflow Management: Yes
  • White Labeling: Yes
  • Data Import/Export: Yes
  • Self-Registration: Yes
  • Video Streaming: Yes
  • User Permission Management: Yes
  • Object Recognition: Yes
  • Your own domain: Yes

Pandas features and specs

No features have been listed yet.

DBGallery videos

DBGallery Benefits Overview

More videos:

  • Review - Four Stages of Opening Access to DBGallery

Pandas videos

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 DBGallery and Pandas)
Digital Asset Management
100 100%
0% 0
Data Science And Machine Learning
Photos & Graphics
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 DBGallery and Pandas

DBGallery Reviews

  1. Easy to use app for files organization. Great opportunities for users management.
    👍 Pros:    Fast support|Folder and collection structure|Multi user product
  2. Powerful easy-to-use file management app with file sharing options and email notifications.

    👍 Pros:    Folder and collection structure|User management|Versions control

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 199 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.

DBGallery mentions (0)

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

Pandas mentions (199)

  • The ultimate guide to creating a secure Python package
    It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / 22 days ago
  • 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 / about 1 month 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 / about 1 month 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 / 3 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
View more

What are some alternatives?

When comparing DBGallery and Pandas, you can also consider the following products

Widen - Digital asset management (DAM) & content production

NumPy - NumPy is the fundamental package for scientific computing with Python

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.

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

FastRawViewer - We needed it. We made it. We share it.

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