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Matplotlib VS FullStory

Compare Matplotlib VS FullStory and see what are their differences

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Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...

FullStory logo FullStory

Meet FullStory, the app that captures all your customer experience data in one powerful platform.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • FullStory Landing page
    Landing page //
    2023-05-01

Matplotlib

Website
matplotlib.org
Pricing URL
-
$ Details
Release Date
-
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FullStory

Website
fullstory.com
Pricing URL
Official FullStory Pricing
$ Details
-
Release Date
2014 January
Startup details
Country
United States
State
Georgia
City
Atlanta
Founder(s)
Bruce Johnson
Employees
250 - 499
Edit details

Matplotlib features and specs

  • Versatility
    Matplotlib can generate a wide variety of plots, ranging from simple line plots to complex 3D plots. This versatility makes it a go-to library for many scientific and technical visualizations.
  • Customization
    It offers extensive customization options for virtually every element of a plot, including colors, labels, line styles, and more, allowing users to tailor plots to meet specific needs.
  • Integrations
    Matplotlib integrates well with other Python libraries such as NumPy, Pandas, and SciPy, making it easier to plot data directly from these sources.
  • Community and Documentation
    It has a large, active community and comprehensive documentation that includes tutorials, examples, and detailed references, which can help users solve problems and improve their plot-making skills.
  • Interactivity
    Matplotlib supports interactive plots, which can be embedded in Jupyter notebooks and GUIs, allowing for dynamic data exploration and presentation.
  • Publication-Quality
    The library is capable of producing high-quality, publication-ready graphics that meet the stringent requirements of academic journals and professional presentations.

Possible disadvantages of Matplotlib

  • Complexity
    While Matplotlib offers extensive customization, it can be complex and sometimes unintuitive for beginners, requiring a steep learning curve to master all its functionality.
  • Performance
    Rendering a large number of plots or handling very large datasets can be slow, making Matplotlib less suitable for real-time data visualization.
  • Modern Aesthetics
    Out-of-the-box plots from Matplotlib can look somewhat dated compared to those from newer plotting libraries like Seaborn or Plotly, requiring additional customization to achieve a modern look.
  • 3D Plots
    Although Matplotlib supports 3D plotting, its capabilities are relatively limited and less sophisticated compared to specialized 3D plotting libraries.
  • Size and Structure
    The package is relatively large and can be slow to import. Its extensive structure can make finding specific functions and understanding the overall architecture challenging.

FullStory features and specs

  • Detailed User Insights
    FullStory provides a comprehensive view of user interactions, including heatmaps, session recordings, and user journey maps, which help in understanding user behavior and identifying areas for improvement.
  • Easy Integration
    FullStory can be easily integrated with various platforms and tools like Google Analytics, Slack, and Intercom, enhancing its utility and allowing seamless data flow across systems.
  • Robust Search and Segmentation
    The platform allows advanced search and segmentation capabilities, making it easier to find and analyze specific user groups or behaviors, which is essential for targeted optimizations.
  • Data Privacy and Security
    FullStory adheres to stringent data privacy and security standards, including GDPR compliance, offering peace of mind to businesses concerned about user data protection.
  • Collaboration Features
    It offers collaboration tools that enable teams to share insights, annotate session recordings, and work together on user experience improvements, enhancing teamwork and productivity.

Possible disadvantages of FullStory

  • Cost
    FullStory can be relatively expensive, especially for smaller businesses or startups with limited budgets, as the comprehensive feature set comes at a premium price.
  • Learning Curve
    Due to the depth of features and capabilities, new users may face a steep learning curve in understanding and utilizing the platform effectively.
  • Data Volume Limitations
    Depending on the subscription plan, there may be limitations on the amount of data and the number of sessions that can be recorded and stored, which might not be sufficient for high-traffic websites.
  • Browser Dependency
    FullStory heavily relies on JavaScript, which means that if users have JavaScript disabled, the tool may not function properly, leading to gaps in data collection.
  • Potential Performance Impact
    The tracking scripts used by FullStory can sometimes impact website performance and load times, which may affect the user experience if not optimized.

Analysis of Matplotlib

Overall verdict

  • Yes, Matplotlib is a good library for data visualization, particularly for users who require a versatile and powerful plotting solution in Python.

Why this product is good

  • Matplotlib is highly regarded due to its extensive customization options, versatility in creating a wide range of static, animated, and interactive plots, and its large user community and support. It integrates well with other scientific libraries in Python, making it a staple for data visualization. The library is also open-source and frequently updated, ensuring it remains a reliable choice for users.

Recommended for

  • Data scientists and analysts needing to create detailed, customized visual representations of their data.
  • Researchers and engineers looking for a comprehensive plotting library that supports scientific and engineering formats.
  • Python developers who require integration with other scientific computing libraries like NumPy and Pandas.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

FullStory videos

+ Add

Best UX Research Tool: FullStory

More videos:

  • Review - FULLSTORY: FIRST WEEK REVIEW

Category Popularity

0-100% (relative to Matplotlib and FullStory)

Matplotlib

FullStory

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Web Analytics
0 0%
Web Analytics
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Analytics
0 0%
Analytics
100% 100

User comments

Share your experience with using Matplotlib and FullStory. 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 Matplotlib and FullStory

Matplotlib Reviews

25 Python Frameworks to Master
Matplotlib is a widely used tool for data visualization in Python. It provides an object-oriented API for embedding plots into applications.
Source: kinsta.com
5 Best Python Libraries For Data Visualization in 2023
You can use this library for multiple purposes such as generating plots, bar charts, histograms, power spectra, stemplots, pie charts, and more. The best thing about Matplotlib is you just have to write a few lines of code and it handles the rest by itself. Metaplotilib focuses on static images for publication along with interactive figures using toolkits like Qt and GTK.
Source: www.technotification.com
15 data science tools to consider using in 2021
Matplotlib is an open source Python plotting library that's used to read, import and visualize data in analytics applications. Data scientists and other users can create static, animated and interactive data visualizations with Matplotlib, using it in Python scripts, the Python and IPython shells, Jupyter Notebook, web application servers and various GUI toolkits.
Source: searchbusinessanalytics.techtarget.com
Top Python Libraries For Image Processing In 2021
Matplotlib is primarily used for 2D visualizations such as scatter plots, bar graphs, histograms, and many more, but we can also use it for image processing. It is effective to get information out of an image. It doesnโ€™t support all file formats.
Source: www.analyticsvidhya.com
Top 8 Python Libraries for Data Visualization
Matplotlib is a data visualization library and 2-D plotting library of Python It was initially released in 2003 and it is the most popular and widely-used plotting library in the Python community. It comes with an interactive environment across multiple platforms. Matplotlib can be used in Python scripts, the Python and IPython shells, the Jupyter notebook, web application...
Source: www.geeksforgeeks.org

FullStory Reviews

10 Best Mixpanel Alternatives for Product Analytics in 2024
FullStory is a digital experience analytics solution and a fantastic Mixpanel alternative if youโ€™re looking for extra features and support. The platform provides session capture and data to provide insights thatโ€™ll help you drive better business results.
Source: clickup.com
11 Hotjar alternatives and competitors in 2024
FullStory focuses on digital experience intelligence with a wide range of advanced tools for measuring digital product interaction. Made for UX teams operating at enterprise level, FullStory also provides extensive data analysis filters, including segmentation and funnel analytics.
Source: maze.co
12 Hotjar alternatives for website and mobile app analytics
Hotjarโ€™s differentiators, when compared to FullStory, are their feedback and survey features. However, FullStory has much broader quantitative analytics capabilities (including funnel analysis) and can be used to analyze mobile apps as well as websites.
Source: www.smartlook.com
10 Best Hotjar Alternatives & Competitors in 2023
Another Hotjar alternative is Fullstory which, as a Digital Experience Intelligence (DXI) service, promises to provide users with session recordings and heatmaps. And as a result, the tool is supposed to help you find glitches and increase the conversion rate.
Source: www.socialpros.co
Best 10 Session Replay Tools and Software
Are you looking for a platform that indexes your visitorsโ€™ interactions on your website? According to FullStoryโ€™s claims, its session replay tools include recordings that aim to identify your website bugs and provide customer support to individual users.
Source: www.socialpros.co

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than FullStory. While we know about 114 links to Matplotlib, we've tracked only 5 mentions of FullStory. 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.

Matplotlib mentions (114)

  • The soul file
    In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ€” the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
  • How to Analyze CSV Files with Python and Pandas
    Numbers are useful, but sometimes itโ€™s easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
  • libmalloc, jemalloc, tcmalloc, mimalloc - Exploring Different Memory Allocators
    We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
  • Building an AI Scoring Agent: Step-By-Step
    NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
  • Top 5 GitHub Repositories for Data Science in 2026
    The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโ€ฆ. - Source: dev.to / 10 months ago
View more

FullStory mentions (5)

  • Any simple/conservative lists that just block ads, not trackers that might break mobile apps and web sites?
    Yeah I tried a few, also the defaults in NextDNS and AdGuard Home. They all cause issues, mostly related to what's considered tracking/analytics domains, e.g. segment.io, app-measurement.com, fullstory.com, crashlytics, etc. Source: almost 4 years ago
  • Domain not blocked and why it's on the list
    Hello, I was using an Android which tried to connect the domain fullstory.com. It has been blocked since this domain is listed in my hosts file thanks to Peter Loweโ€™s Ad and tracking server list. Source: almost 4 years ago
  • Monitoring your next.js app?
    Have not heard about Highlight but FullStory is really great tool. But, the pricing is too high to use it. You can also have a look at Browsee. Source: almost 4 years ago
  • Monitoring your next.js app?
    I've heard good things about highlight.io and fullstory.com but haven't tried them yet; do folks have any opinions? And any other tools that can help us understand where/why bugs happen? Source: almost 4 years ago
  • Rate my website!
    Get an idea of exactly what people are doing by signing up for fullstory.com, they give you like 10000 sessions free per month. Watch what users actually do. I find it pretty fascinating how dumb people are as you watch them blindly click around the screen. Source: over 4 years ago

What are some alternatives?

When comparing Matplotlib and FullStory, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Hotjar - The #1 Leader in Heatmaps, Recordings, Surveys & More. Sign up for a 15-day free trial and start learning from real user behavior today!

NumPy - NumPy is the fundamental package for scientific computing with Python

Smartlook - Qualitative analytics for websites and mobile apps Start understanding the 'whys' of your users' behaviors with clear, visual insights. With session recordings and event tracking, you get the complete picture.

Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.

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.

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