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66Analytics VS Plotly

Compare 66Analytics 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

66Analytics logo 66Analytics

Self-hosted analytics, heatmaps & session recordings.

Plotly logo Plotly

Low-Code Data Apps
  • 66Analytics Landing page
    Landing page //
    2023-08-26
  • Plotly Landing page
    Landing page //
    2023-07-31

66Analytics features and specs

  • Comprehensive Analytics
    66Analytics offers in-depth website analytics that can help users understand their audience, traffic sources, and user behavior in detail.
  • User-Friendly Interface
    The platform features a user-friendly and clean interface, making it easy for both beginners and experienced users to navigate and utilize the tool effectively.
  • Self-Hosted Solution
    66Analytics is a self-hosted analytics platform, giving users complete control over their data and privacy without relying on third-party services.
  • White Labeling
    The ability to customize the software with your own branding can be a major advantage for businesses that want to maintain a consistent brand image.
  • Custom Events and Goals
    Users can set up custom events and goals, allowing for tailored tracking that meets specific business needs and objectives.
  • Privacy-Focused
    Since itโ€™s self-hosted, 66Analytics offers enhanced privacy control, which can be crucial for GDPR compliance and other privacy regulations.
  • API Access
    The availability of an API allows users to expand the functionality and integrate 66Analytics with other tools and platforms.

Possible disadvantages of 66Analytics

  • Setup Complexity
    Setting up a self-hosted analytics platform requires technical knowledge and resources, which might be a barrier for non-technical users.
  • No Real-Time Data
    66Analytics does not provide real-time analytics, which can be a limitation for users who need immediate insights and data.
  • Limited Integrations
    Compared to other analytics platforms, 66Analytics has fewer direct integrations with third-party services and tools.
  • Cost of Hosting
    Users need to factor in the additional costs of self-hosting, including server, maintenance, and related expenses.
  • Initial Cost
    There is an upfront cost to purchase the software, which could be a concern for small businesses or startups with limited budgets.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve involved in understanding and making the most out of the features provided.

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 66Analytics

Overall verdict

  • 66Analytics is generally considered a good web analytics platform, especially for those seeking a privacy-focused, self-hosted solution.

Why this product is good

  • It offers real-time analytics, user tracking, and event tracking features similar to larger platforms without the data privacy concerns.
  • The platform is easy to install and use, providing insightful reports that help in understanding website traffic and user behavior.
  • It offers customization options and can be installed on your own server, ensuring full control over your data.
  • The one-time purchase model is cost-effective for businesses that prefer not to deal with recurring subscription fees.

Recommended for

  • Small to medium-sized businesses looking for an affordable analytics solution.
  • Privacy-conscious organizations preferring to keep their data in-house.
  • Developers and tech-savvy users who can manage self-hosted applications.

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.

66Analytics videos

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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 66Analytics and Plotly)

66Analytics

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

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Reviews

These are some of the external sources and on-site user reviews we've used to compare 66Analytics and Plotly

66Analytics Reviews

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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, Plotly should be more popular than 66Analytics. 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.

66Analytics mentions (5)

  • 10 of the Best Web Analytics Tools for React Websites
    66analytics offers features such as real-time analytics, conversion tracking, heat maps, session recordings, and data ownership. This data visualization tool gives you a complete picture of your productโ€”everything that marketing, UX, or product management teams ask for. - Source: dev.to / over 1 year ago
  • Built a Google Analytics alternative with visitor journeys, heatmaps and replays
    Looks like this is a fork of https://66analytics.com/? One of Altumcodes products? - Source: Hacker News / over 1 year ago
  • What is a good, lightweight, free alternative to Google Analytics?
    Last year I stumbled upon https://66analytics.com/ and liked it quite a lot. It is very light but covers quite a lot of stuff that I wanted to have. Itโ€™s a one time payment but only around $60 I think and does not have any limitations after that. I liked the one time payment idea and that I could just run it on a shared Hoster that I had already around. Source: almost 5 years ago
  • Show HN: PrivateAnalytix โ€“ Private Google Analytics and MS Clarity Alternative
    This is just another managed version of https://66analytics.com/ I like that you state GDPR and other compliance but I am 100% sure itโ€˜s not (just because 66analytics is claiming that, doesnโ€™t mean itโ€™s right. Have you checked anything back with a lawyer? - Source: Hacker News / about 5 years ago
  • Made this tool, what do you think?
    For anyone interested, I think this is just a hosted version of https://66analytics.com/. Source: about 5 years ago

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!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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What are some alternatives?

When comparing 66Analytics and Plotly, you can also consider the following products

Fathom Analytics - Simple, trustworthy website analytics (finally)

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.

Simple Analytics - The privacy-first Google Analytics alternative located in Europe.

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

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 ๐Ÿ‡ช๐Ÿ‡บ

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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