Software Alternatives & Startups
Register | Login

Pixieset VS Plotly

Compare Pixieset VS Plotly and see what are their differences

ReleasePad
Changelog software that turns GitHub commits into release notes your users actually see — inside your app. Built for founders and teams who ship fast. sponsored
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Pixieset logo Pixieset

Beautiful photo galleries for photographers and their clients.

Plotly logo Plotly

Low-Code Data Apps
  • Pixieset Landing page
    Landing page //
    2021-12-22
  • Plotly Landing page
    Landing page //
    2023-07-31

Pixieset features and specs

  • Ease of Use
    Pixieset offers a user-friendly interface, making it easy for photographers to set up their online portfolios and client galleries without extensive technical knowledge.
  • Client Galleries
    The platform provides easy-to-navigate client galleries, allowing photographers to share their work with clients in a professional manner, with options for downloading and proofing.
  • Customizable Options
    Pixieset allows users to customize the presentation of their galleries with various layout options, color schemes, and branding elements to match their personal style.
  • Integration with Print Labs
    The service offers seamless integration with professional print labs, enabling photographers to sell prints and products directly through the platform.
  • Mobile-Friendly
    Pixieset is optimized for mobile use, ensuring that clients can view galleries and purchase products easily from any device.

Possible disadvantages of Pixieset

  • Limited Free Features
    The free plan offers limited storage and features, requiring users to upgrade to a paid plan for more extensive use of the platform.
  • Customization Limitations
    Although customization is available, it is somewhat limited compared to building a full-fledged custom website, which may not meet the needs of more advanced users.
  • Pricing for Additional Features
    Some users might find the costs to add additional features, such as expanded storage or advanced tools, to be relatively high compared to other services.
  • Dependency on the Platform
    Relying heavily on Pixieset for client interactions and print sales can be risky if the platform changes its terms or pricing structure.
  • Limited Blogging or Content Management
    Pixieset mainly focuses on photo galleries and doesn’t offer comprehensive blogging or content management features, which may necessitate additional platforms for complete portfolio needs.

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.

Analysis of Pixieset

Overall verdict

  • Pixieset is generally well-regarded in the photography community for its user-friendly interface and robust feature set. It may be particularly beneficial for photographers looking for an all-in-one solution to manage client interactions, showcase their work, and facilitate sales.

Why this product is good

  • Pixieset is considered a good platform for many photographers due to its intuitive design, ease of use, and features tailored for photography businesses. It offers tools such as client galleries, online stores, and proofing options, making it comprehensive for professional and semi-professional photographers. The seamless integration and customization options also make it appealing for branding purposes.

Recommended for

    Pixieset is recommended for professional photographers, freelancers, and small photography studios who need a convenient and visually appealing way to present and sell their photographs online. It's also a good fit for those who value a platform that can handle multiple aspects of their business, from client management to e-commerce.

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.

Pixieset videos

+ Add

New Pixieset Website | Review Walk Through

More videos:

  • Tutorial - Pixieset Tutorial: How I setup & deliver photo galleries to clients!
  • Review - Pixieset - The best FREE option for client proofing and managing image choices

Plotly videos

+ Add

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

Category Popularity

0-100% (relative to Pixieset and Plotly)

Pixieset

Plotly

Photography
100 100%
Photography
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Photography Tools
100 100%
Photography Tools
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Pixieset and Plotly. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

Pixieset Reviews

We have no reviews of Pixieset yet.
Be the first one to post

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly should be more popular than Pixieset. It has been mentiond 34 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.

Pixieset mentions (15)

  • What cameras are you planning to use on trail?
    I also saw another hiker that posted a selection of his images on https://pixieset.com - which is easier than setting up and managing a website. Source: over 3 years ago
  • Show recording / general media distribution solution?
    Hm, I just thought there would be something like Pixieset, but bring your own storage with a simple app to connect to Pixieset's servers. Source: over 3 years ago
  • Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
    One answer to original post was pixieset which looks interesting and I hadn't heard of before (thanks u/Rashkh). Source: over 3 years ago
  • Actually hosting a website?
    If you want something "wix-like" and don't like the pricing, they do have competitors. A couple of my friends who are in photography use https://pixieset.com/, and a couple others use a shopify store to sell prints / service packages. Source: almost 4 years ago
  • Where can i make a free store to sell my prints?
    Https://pixieset.com/ you can check this site out. Source: almost 4 years ago
View more

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 / 6 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!🤓
    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 / almost 2 years 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

What are some alternatives?

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

SmugMug - SmugMug is a platform that allows amateurs and professional photographers to host their pictures and create a virtual gallery for promoting and selling their work.

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.

ShootProof - Professional sales tools and stunning client galleries for photographers

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

Pic Time - Pic Time is a versatile utility that comes with online galleries’ exclusive service with multiple tools and features.

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.

Loading...