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Lichess VS Plotly

Compare Lichess VS Plotly and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Lichess logo Lichess

The complete chess experience, play and compete in tournaments with friends others around the world.

Plotly logo Plotly

Low-Code Data Apps
  • Lichess Landing page
    Landing page //
    2023-01-04
  • Plotly Landing page
    Landing page //
    2023-07-31

Lichess features and specs

  • Free to Use
    Lichess is completely free to use, with no hidden fees or subscription models required to access its features.
  • Open Source
    The platform is open-source, allowing anyone to contribute to its development or customize it according to their needs.
  • Ad-Free
    Lichess does not run advertisements, providing a cleaner and more enjoyable user experience.
  • Variants
    Offers a wide range of chess variants like Crazyhouse, Chess960, and Atomic, catering to diverse player interests.
  • Community Features
    Features strong community elements such as forums, tournaments, and team play, enhancing social interaction.
  • Analysis Tools
    Provides powerful game analysis tools, including Stockfish integration, to help players improve their skills.
  • Accessibility
    The platform has a clean and intuitive interface that is accessible to both beginners and experienced players.
  • Mobile Apps
    Lichess offers mobile applications for both iOS and Android, allowing users to play and learn chess on the go.

Possible disadvantages of Lichess

  • No Official Recognition
    Lichess is not officially recognized by the major chess organizations, which might be a limitation for professional players.
  • Lesser User Base Compared to Competitors
    Although it has a strong community, its user base is smaller when compared to competitors like Chess.com.
  • Limited Social Features
    Lacks some of the advanced social features found on other platforms, such as comprehensive user profiles and social media integration.
  • Server Issues
    Occasionally faces server reliability issues during peak times, which can disrupt gameplay.
  • Learning Resources
    Although there are learning resources available, they are not as extensive or structured as those found on some other platforms.

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 Lichess

Overall verdict

  • Lichess.org is an excellent platform for playing, learning, and improving in chess. It provides a high-quality, ad-free experience that is accessible to everyone, making it a favorite among many chess players worldwide.

Why this product is good

  • Lichess.org is considered good because it offers a wide range of features for chess enthusiasts of all levels, including online play, puzzles, tournaments, studies, and more. It is completely free, open source, and does not contain ads. The platform supports various time controls and chess variants, which makes it versatile for different preferences. It also has a strong community and active development, ensuring continuous improvements and new features.

Recommended for

  • Beginners looking to learn and improve their chess skills
  • Casual players interested in playing games at their convenience
  • Advanced players seeking competitive matches and analysis tools
  • Chess enthusiasts who enjoy exploring different variants of chess
  • Coaches and teachers who want resources for instructing students

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.

Lichess videos

+ Add

Review of LiChess, Chess.com, ChessClub, ICC, Playchess, chesscube Reviewed!

More videos:

  • Review - Learning from your mistakes - Lichess has best online chess features and it is free!
  • Review - Introduction to Game Analysis on Lichess

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 Lichess and Plotly)

Lichess

Plotly

Chess
100 100%
Chess
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Games
100 100%
Games
0% 0
Charting Libraries
0 0%
Charting Libraries
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 Lichess and Plotly

Lichess Reviews

Chess.com vs Lichess.org
Chess.com and Lichess.org - just โ€œLichessโ€ from here on; pronounced as lee-chess - are the two most popular chess servers on the internet.
Source: siddhesh.substack.com

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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Lichess seems to be a lot more popular than Plotly. While we know about 922 links to Lichess, we've tracked only 34 mentions of Plotly. 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.

Lichess mentions (922)

  • Show HN: Chess bot based on the transformer architecture
    Hi HN! I build this project to explore an idea I got in mind for a long time : Is transformer a suitable architecture for a chess bot? I built a small model (11M parameters) and trained it on human games (Elite Lichess DB). Model alone is performing around 1500 elo, but I built an harness using Monte Carlos Tree Search (MCTS) using my model heuristics to improve the model to ~2100 elo (evaluated against... - Source: Hacker News / about 1 month ago
  • Lichess and Take Take Take Sign Cooperation Agreement
    Lichess is incredibly well optimized [0] (and an amazing public service). I'm sure that this is very cost effective for TTT, so a win-win. [0] https://lichess.org/@/revoof/blog/optimizing-the-tablebase-server/MetV0ZQd. - Source: Hacker News / 4 months ago
  • Take Take Take and Lichess.org Announce Play Zone Partnership
    Https://lichess.org/@/Lichess/blog/lichess-and-take-take-take-sign-cooperation-agreement/DZS0S0Dy. - Source: Hacker News / 4 months ago
  • Any chess position with 8 pieces on board and one pair of pawns has been solved
    The actual blogpost: https://lichess.org/@/Lichess/blog/op1-partial-8-piece-tablebase-available/1ptPBDpC On a related note, anyone knows a Mastodon proxy that doesn't require JS and I can just pipe links through? - Source: Hacker News / 6 months ago
  • How to store a chess position in 26 bytes using bit-level magic
    Lichess uses a scheme which is probably more efficient on average, described on revoof's blog[0]. Basically, it's a variable length scheme where the first 64 bits encode square occupancies, followed by piece codes (including castling, side to move, and ep with some trickery), followed by half-move clocks if necessary. 0:... - Source: Hacker News / 7 months 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 / 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
View more

What are some alternatives?

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

Chess.com - Play chess on Chess.com

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.

Chess Tempo Database - Chess Tempo Database gives you a library of more than 2 million searchable chess games.

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

DecodeChess - AI chess tutor and analysis

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.

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