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Plotly VS stats.fm

Compare Plotly VS stats.fm and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

stats.fm logo stats.fm

With the click of a button you'll be logged with your Spotify account and you'll instantly gain access to a valhalla of cool stats and insights.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • stats.fm Landing page
    Landing page //
    2022-12-22

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.

stats.fm features and specs

  • Detailed Analytics
    Stats.fm provides in-depth insights into your music listening habits, offering detailed statistics on your favorite tracks, artists, and genres.
  • User-Friendly Interface
    The platform features an intuitive and easy-to-navigate interface, making it accessible for users of all experience levels.
  • Personalization
    It offers personalized music recommendations based on your listening history, helping users discover new music tailored to their preferences.
  • Integration with Streaming Services
    Stats.fm integrates seamlessly with popular music streaming services like Spotify, enhancing the user experience by providing comprehensive analytics.

Possible disadvantages of stats.fm

  • Privacy Concerns
    Users need to allow access to their streaming data, which may raise privacy concerns for some individuals.
  • Limited Free Features
    Many of the platform’s features are locked behind a paywall, requiring a subscription for full access.
  • Platform Dependency
    Stats.fm's effectiveness is dependent on the streaming service's API, and any changes or limitations in data access can impact its functionality.
  • Inconsistent Updates
    Some users have reported delays in the updating of statistics, which can affect the accuracy and timeliness of data insights.

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.

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

stats.fm videos

+ Add

SPOTISTATS / STATS.FM - HOW TO USE?

Category Popularity

0-100% (relative to Plotly and stats.fm)

Plotly

stats.fm

Data Visualization
100 100%
Data Visualization
0% 0
Music
0 0%
Music
100% 100
Charting Libraries
100 100%
Charting Libraries
0% 0
Spotify
0 0%
Spotify
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 stats.fm

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

stats.fm Reviews

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

Social recommendations and mentions

Based on our record, stats.fm should be more popular than Plotly. It has been mentiond 104 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.

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

stats.fm mentions (104)

  • Show HN: I made a tool to turn your Spotify profile into a website
    If you're interested in something for consumers, I recommend you try https://stats.fm/. - Source: Hacker News / over 2 years ago
  • A song with lyrics he got word that overnight his friend went to sleep and never woke again
    If you cannot find it, you always have the option of paying and importing your stats to stats.fm and it should hopefully be there on the songs you have played! Source: over 2 years ago
  • Notbused this App before
    Stats.fm is just for spotify right? I use last.fm to track music on almost any interface you can think of:. Source: almost 3 years ago
  • From what number of minutes do 0.001% and 0.0001 start?
    Not sure if the stats.fm 'leader board' for top listeners are correct since there seems to be some users with inflated minutes. Some random dude has 157,274 minutes on 'Fantastic Magic' alone which is unbelievable. Source: almost 3 years ago
  • I need advice, falsely quarantined streams
    I tried contacting support about this but they just hit me with a "we think you deserve it so we're not going to do anything" (not literally, but it has those vibes). I do not farm streams or practice fraudulent behavior in any manner, and y'all are free to check this out yourselves. I use Spotify very frequently, whether it be to drown out noise or to distract me from other things. I also have diagnosed ADHD and... Source: almost 3 years ago
View more

What are some alternatives?

When comparing Plotly and stats.fm, 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.

Last.fm - The world's largest online music service. Listen online, find out more about your favourite artists, and get music recommendations, only at Last.fm

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

volt.fm - See your Spotify stats, connect with 125k+ music fans, and discover new music.⠀volt.fm helps you experience Spotify in a totally new way.

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.

ListenBrainz - Open source music website that allows users to import their listen history.

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