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Fathom Analytics VS Plotly

Compare Fathom Analytics VS Plotly and see what are their differences

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Fathom Analytics logo Fathom Analytics

Simple, trustworthy website analytics (finally)

Plotly logo Plotly

Low-Code Data Apps
  • Fathom Analytics Landing page
    Landing page //
    2022-12-16
  • Plotly Landing page
    Landing page //
    2023-07-31

Fathom Analytics features and specs

  • Privacy-Focused
    Fathom Analytics prides itself on being privacy-focused, ensuring that user data is not sold or shared, and complies with privacy laws such as GDPR, CCPA, and PECR.
  • Simplicity
    The platform offers a user-friendly interface that's easy to navigate and understand, making it accessible for users who might not be familiar with complex analytics software.
  • Fast Setup
    Fathom Analytics boasts a quick and straightforward setup process, allowing users to start tracking their website's data within minutes.
  • Lightweight Script
    The tracking script Fathom uses is lightweight, ensuring that it doesn't significantly slow down your website's load times.
  • Data Ownership
    Users have full ownership and control over their data, providing peace of mind about how information is managed and used.
  • Transparent Pricing
    Fathom offers clear and competitive pricing without hidden fees, making budgeting for analytics services straightforward.

Possible disadvantages of Fathom Analytics

  • Limited Features
    Compared to more comprehensive analytics platforms like Google Analytics, Fathom Analytics offers fewer features, which might not meet the needs of users who require in-depth analysis.
  • Customization
    There are fewer customization options available for reports and dashboards, limiting the ability to tailor the platform to specific business needs.
  • Integration
    Fathom Analytics lacks extensive integration capabilities, which can be a drawback for users who rely on seamless integration with a wide variety of tools.
  • Market Penetration
    Being a relatively newer and smaller player in the web analytics market, Fathom Analytics has less brand recognition and fewer community resources compared to giants like Google Analytics.

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 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.

Fathom Analytics videos

+ Add

FATHOM ANALYTICS REVIEW 🌟 INSTALL 💸 $100 (OPEN SOURCE)

More videos:

  • Review - Fathom Analytics, One-Click DigitalOcean installation guide

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 Fathom Analytics and Plotly)

Fathom Analytics

Plotly

Analytics
100 100%
Analytics
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Analytics
100 100%
Web Analytics
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100

User comments

Share your experience with using Fathom Analytics and Plotly. For example, how are they different and which one is better?
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Reviews

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

Fathom Analytics Reviews

Top 5 Plausible Analytics Alternatives in 2024
This differentiates Fathom Analytics from alternatives that collect vast amounts of customers’ personal information.
Source: www.putler.com
Top 9 Plausible Analytics alternatives in 2024
Fathom Analytics is known for its emphasis on privacy, providing website analytics without invasive tracking methods. It maintains user data integrity, ensuring compliance with regulations like GDPR.
Source: usermaven.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 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, Fathom Analytics should be more popular than Plotly. It has been mentiond 66 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.

Fathom Analytics mentions (66)

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 / 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 Fathom Analytics and Plotly, you can also consider the following products

Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure 🇪🇺

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.

Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.

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

Matomo - Matomo is an open-source web analytics platform

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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