Software Alternatives, Accelerators & Startups

Plotly VS Backloggery

Compare Plotly VS Backloggery and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Backloggery logo Backloggery

Backloggery helps gamers keep track of unplayed and unfinished games in their collection.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Backloggery Landing page
    Landing page //
    2023-10-14

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.

Backloggery features and specs

  • Simple Interface
    Backloggery offers a straightforward and minimalist interface, making it easy for users to quickly log and manage their game collection without getting overwhelmed by too many features.
  • Customizable
    Users can customize their game lists with various statuses, such as 'Now Playing,' 'Unfinished,' 'Beaten,' and 'Completed,' providing flexibility in tracking progress.
  • Community Features
    Backloggery includes community features that allow users to connect with friends, share their game progress, and participate in events and challenges.
  • Manual Entry
    Because entries are added manually, users are not constrained by predefined game databases and can track even the most obscure or indie titles.

Possible disadvantages of Backloggery

  • No Automatic Sync
    Backloggery does not automatically sync with gaming platforms or services, requiring users to manually input and update their game collection data.
  • Outdated Design
    The website design and user interface could feel outdated and less visually appealing compared to modern web applications.
  • Limited Features
    While simplicity is a pro for some, others might find the lack of advanced features like automated stats tracking, game recommendations, or detailed filters to be a drawback.
  • No Mobile App
    Backloggery does not have an official mobile app, which can be inconvenient for users who prefer managing their game collections on the go.

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 Backloggery

Overall verdict

  • Overall, Backloggery is considered a robust and user-friendly choice for avid gamers looking to organize their gaming experiences, although its interface might appear a bit dated compared to more modern platforms.

Why this product is good

  • Backloggery is a great tool for gamers who want to keep track of their video game collections, playthroughs, and overall progress. It offers a streamlined way to manage backlogs, assess gaming habits, and set personal gaming goals. The community aspect also allows users to connect with other gamers and discover new games.

Recommended for

  • Gamers with large collections who struggle to keep track of their unfinished games.
  • Individuals who are goal-oriented and enjoy planning their gaming activities.
  • Those who appreciate being part of a community that shares gaming achievements and recommendations.
  • Gamers who prefer a simple, no-frills approach to managing their gaming backlog.

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

Backloggery videos

Keep Track of ALL Your Games! - The Backloggery Review

Category Popularity

0-100% (relative to Plotly and Backloggery)
Data Visualization
100 100%
0% 0
Games
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Movie Reviews
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 Backloggery

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.

Backloggery Reviews

We have no reviews of Backloggery yet.
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Social recommendations and mentions

Plotly might be a bit more popular than Backloggery. We know about 34 links to it since March 2021 and only 27 links to Backloggery. 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 / 4 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
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Backloggery mentions (27)

  • How do you keep track of the games you've played, and the games you want to play?
    I use Backloggery which is more aimed towards playing the games you have and clearing your backlog. Source: about 3 years ago
  • letterboxd/goodreads but for games?
    I havent used all these, so your milage may vary, but I was looking for a similar thing not long ago. Https://www.backloggd.com Https://rawg.io Https://wetheplayers.com Https://www.grouvee.com/ Https://gamelib.app/explore Https://backloggery.com/ Https://playnite.link/ There's also just using a spreadsheet, or Notion with a good template. Source: about 3 years ago
  • How many years has your Trails journey spanned?
    There are websites like howlongtobeat.com or backloggery.com that let you track individual game status. You can write down ratings or when you started/finished a game and it tracks that. I've used backloggery.com for 10+ years so it was really easy to grab the dates I played Trails with it. Source: over 3 years ago
  • Does anyone use any game tracking apps?
    For game tracking, try The Backloggery! Source: over 3 years ago
  • I dont know how many games I beat this year and I'm happy about it
    People often use sites like HowLongToBeat, Backloggery, or Backloggd. Source: over 3 years ago
View more

What are some alternatives?

When comparing Plotly and Backloggery, 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.

Rawg - Video game discovery powered by you!

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

HowLongToBeat - How long does it take to beat your favorite games?

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.

ratehouse - The comprehensive media database for music, movies, tv shows, books, games, and podcasts.