Software Alternatives, Accelerators & Startups

Plotly VS Gallery

Compare Plotly VS Gallery and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Plotly logo Plotly

Low-Code Data Apps

Gallery logo Gallery

Gallery is a web based software product that lets you manage your photos on your own website.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Gallery Landing page
    Landing page //
    2021-10-09

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

Gallery features and specs

  • Open Source
    Gallery is free and open-source, which allows for customization and modification according to individual requirements.
  • Ease of Use
    It offers a user-friendly interface that makes it easy for users to manage and organize photos without much technical know-how.
  • Community Support
    With a strong community, users can seek help, share ideas, and contribute to the development of the project.
  • Feature-Rich
    Gallery provides a number of useful features such as automatic resizing, slideshow options, and photo comments, enhancing the overall photo management experience.
  • Wide Compatibility
    Itโ€™s compatible with multiple operating systems and web servers, offering flexibility in deployment.

Possible disadvantages of Gallery

  • Limited Updates
    Development activity has slowed down in recent years, leading to fewer updates and potentially less innovation.
  • Security Concerns
    As it is less frequently updated, there may be unresolved security vulnerabilities that could pose risks to users.
  • Complex Installation
    The installation process can be challenging for users without technical expertise, requiring several steps and dependencies.
  • Resource Intensive
    Gallery can be resource-heavy, which may affect performance on servers with limited resources, especially when handling large amounts of data.
  • Lack of Advanced Features
    While Gallery offers a range of basic features, it may lack some advanced functionalities offered by other modern photo management solutions.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.

Analysis of Gallery

Overall verdict

  • Gallery is considered a good choice for individuals or organizations that want full control over their photo galleries and prefer a self-hosted solution. However, its popularity has waned due to the rise of cloud-based platforms, so it might not receive as much attention or updates as before.

Why this product is good

  • Gallery (galleryproject.org) is an open-source web-based photo album organizer that has been praised for its flexibility and customization options. It allows users to host their own photo galleries with a range of features like user management, albums, and photo viewing options. Its open-source nature means it has a community-driven development process, ensuring regular updates and support from a dedicated user base.

Recommended for

  • Tech-savvy users looking for a self-hosted solution
  • Photographers and artists wanting custom gallery setups
  • Organizations needing a private, secure photo gallery
  • Open-source enthusiasts interested in contributing to or customizing code

Plotly videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

Gallery videos

2020 LG Gallery TV Review: The Best 65" OLED?

More videos:

  • Review - App Gallery REVIEWโ”‚ยฟQuรฉ APP'S hay?โ”‚Apps EXCLUSIVAS que no hay en OTRA TIENDA๐Ÿ˜ฑ๐Ÿ˜ฑโ”‚MARZO 2020

Category Popularity

0-100% (relative to Plotly and Gallery)
Data Visualization
100 100%
0% 0
Open Source
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Photo Gallery
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 Plotly and Gallery

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

Gallery Reviews

10+ Best Free and Open Source PHP Image Gallery Scripts
Gallery is an open source web based photo album organizer. Gallery gives you an intuitive way to blend photo management seamlessly into your own website whether youโ€™re running a small personal site or a large community site. Serving millions worldwide, the Gallery project is the most widely used system of its kind.

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Gallery. While we know about 34 links to Plotly, we've tracked only 1 mention of Gallery. 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 5 months ago
  • Python for Data Visualization: Best Tools and Practices
    Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
  • Generative AI Powered QnA & Visualization Chatbot
    Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
View more

Gallery mentions (1)

  • How to host my own image hoster
    Gallery but dunno if it's still developed. I think the OS patches will still be current though. http://galleryproject.org/. Source: almost 5 years ago

What are some alternatives?

When comparing Plotly and Gallery, you can also consider the following products

D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.

Piwigo.org - Manage your photo collection with Piwigo. Piwigo is open source photo gallery software for the web. Designed for organisations, teams and individuals.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Lychee by Electerious - Lychee is an open-source, free software program for self-hosted photo management. It can be installed on the user's own server or website. The software permits the uploading and management of photos and also makes sharing photos very easy.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

PhotoPrism.app - PhotoPrismยฎ is an AI-Powered Photos App for the Decentralized Web. It makes use of the latest technologies to tag and find pictures automatically without getting in your way. You can run it at home, on a private server, or in the cloud.