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Mixpanel VS Plotly

Compare Mixpanel VS Plotly and see what are their differences

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  3. » Reviews
  4. » Alternatives

Mixpanel logo Mixpanel

Mixpanel is the most advanced analytics platform in the world for mobile & web.

Plotly logo Plotly

Low-Code Data Apps
  • Mixpanel Landing page
    Landing page //
    2024-08-10

  mixpanel.comSoftware by Mixpanel

  • Plotly Landing page
    Landing page //
    2023-07-31

Mixpanel features and specs

  • User-Focused Analytics
    Mixpanel offers detailed insights into user behavior, enabling businesses to understand how users interact with their product, which helps in making data-driven decisions.
  • Event Tracking
    The platform allows for precise event tracking, providing real-time analysis of user actions and conversions, which is helpful for optimizing user experience and marketing strategies.
  • Advanced Segmentation
    Mixpanel's advanced segmentation capabilities help in understanding various user groups, enabling personalized marketing campaigns and enhanced user engagement.
  • A/B Testing
    The built-in A/B testing feature allows for experimenting with different variations of features and interfaces to determine what works best for users.
  • Custom Dashboards
    Users can create customizable dashboards to monitor key metrics and KPIs, making it easier to keep track of important data and trends.

Possible disadvantages of Mixpanel

  • Cost
    Mixpanel can be expensive compared to other analytics tools, particularly for startups or small businesses with limited budgets.
  • Complexity
    The platform can be complex and overwhelming for new users without a background in analytics, requiring a steep learning curve to effectively utilize all features.
  • Limited Free Plan
    The free plan offered by Mixpanel has significant limitations, including caps on the number of events tracked, which can be restrictive for growing businesses.
  • Data Retention
    Data retention policies might limit the amount of historical data accessible in lower-tier plans, potentially hindering long-term analysis.
  • Integration Issues
    While Mixpanel integrates with various other tools, some users report challenges and limitations with certain integrations, which can affect the overall workflow.

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.

Mixpanel videos

+ Add

Mixpanel vs. Google Analytics - What are the differences?

More videos:

  • Review - Mixpanel Overview Video
  • Review - Amplitude vs Mixpanel? Pros and Cons of Each

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 Mixpanel and Plotly)

Mixpanel

Plotly

Analytics
100 100%
Analytics
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Web Analytics
100 100%
Web Analytics
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Mixpanel and Plotly

Mixpanel Reviews

  1. Deepak Kumar
    · Technical Reviewer at A/B Testing ·
    Mixpanel helps track user behavior and measure success for your application

    I recommend Mixpanel to anyone who needs to do tracking of user behavior in web applications in order to measure against goals.

    🏁 Competitors: VWO, Optimizely, Convertize.io, Picreel
    👍 Pros:    Easy to use|Powerful analytics|Tracks every user actions
    👎 Cons:    Dashboard is complex|Pricing is too high|Hard to implement own data
10 Best Mixpanel Alternatives for Product Analytics in 2024
Hotjar is an all-in-one feedback and analytics software suite to optimize your website and make data-driven decisions. Hotjar Observe is the suite’s most popular Mixpanel alternative—pair it with Hotjar Ask, Hotjar Engage, and Hotjar Funnels for all the tools you need to succeed. 😎
Source: clickup.com
7 best Mixpanel alternatives to understand your users
On the other hand, Mixpanel requires you to manually define the events you want to track from the start. While this might take some extra time, it provides more detailed reports right off the bat, which makes the analysis straightforward. The choice between Heap and Mixpanel depends on whether you prioritize comprehensive data capturing (Heap) or a more detailed analysis...
Source: www.hotjar.com
Best Mixpanel Alternatives for SaaS
These are some of the aspects that I appreciate about Mixpanel. It’s important to note that my preferences may vary depending on individual needs and requirements. I highlight some of the features and benefits that I appreciate about Mixpanel: Mixpanel focuses on individual user behavior and allows me to track and analyze user interactions at a granular level. This...
Source: userpilot.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Mixpanel, another great tool provides businesses an immediate overview of user interactions with their products. This helps them to adapt quickly, offering more personalized experiences, or making needed adjustments right on the spot. With Mixpanel, you can expect the following benefits:
Source: medium.com
Unleashing Alternatives: 15 Advanced Tools for Web Analytics Just Like Google Analytics(Brief and Crisp)
Mixpanel, another great tool provides businesses an immediate overview of user interactions with their products. This helps them to adapt quickly, offering more personalized experiences, or making needed adjustments right on the spot. With Mixpanel, you can expect the following benefits:
Source: rishikap372.medium.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

Plotly might be a bit more popular than Mixpanel. We know about 33 links to it since March 2021 and only 28 links to Mixpanel. 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.

Mixpanel mentions (28)

View more

Plotly mentions (33)

  • 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 / about 2 months 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 / 4 months 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 / 5 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

What are some alternatives?

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

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.

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.

Adobe Analytics - Adobe Analytics is an industry-leading solution that empowers you to understand your customers as people and steer your business with customer intelligence.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Matomo - Matomo is an open-source web analytics platform

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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