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Survey Monkey VS Matplotlib

Compare Survey Monkey VS Matplotlib and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Survey Monkey logo Survey Monkey

Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Survey Monkey Landing page
    Landing page //
    2023-10-10
  • Matplotlib Landing page
    Landing page //
    2023-06-14

Survey Monkey features and specs

  • Ease of Use
    SurveyMonkey offers an intuitive interface that allows users to create surveys quickly and easily, even without technical expertise.
  • Variety of Templates
    The platform provides a wide range of customizable survey templates, which can save time and ensure a professional look.
  • Advanced Analytics
    Powerful analytics tools that help users interpret data through charts, graphs, and other visualization methods.
  • Integration Capabilities
    SurveyMonkey integrates with various third-party tools and services like Google Drive, Mailchimp, and Salesforce, enhancing its usability across different platforms.
  • Mobile-Friendly
    Surveys created on SurveyMonkey are optimized for mobile devices, ensuring good performance and compatibility for respondents using smartphones or tablets.
  • Survey Logic
    Features such as skip logic, randomization, and piping help create more customized and targeted surveys.
  • 24/7 Customer Support
    SurveyMonkey provides round-the-clock customer support to assist users with any issues or queries.

Possible disadvantages of Survey Monkey

  • Cost
    The free version has limitations, and features like advanced analytics, skip logic, and white labeling require a paid subscription, which can be pricey.
  • Limited Customization
    While SurveyMonkey offers various templates and themes, the customization options can be somewhat restrictive compared to other platforms.
  • Data Ownership
    There are some concerns regarding data privacy and ownership, as SurveyMonkey retains certain rights over the data collected using their platform.
  • Response Limitations
    The free plan has limitations on the number of responses you can collect, which can be restrictive for larger surveys.
  • Complex Survey Structures
    Creating highly complex surveys with extensive logic and branching can be cumbersome and sometimes requires a steep learning curve.
  • Branding Restrictions
    The free and lower-tier plans include SurveyMonkey branding on the surveys, which may not look professional for business purposes.
  • Export Limitations
    Exporting data, especially to more advanced formats, is generally restricted to higher-tier paid plans.

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.

Analysis of Survey Monkey

Overall verdict

  • Overall, SurveyMonkey is a strong choice for anyone in need of a comprehensive and easy-to-use survey platform, with a variety of features that cater to different needs and scales.

Why this product is good

  • SurveyMonkey is widely regarded as a good tool for creating, distributing, and analyzing surveys due to its user-friendly interface, diverse question types, robust analytics, and integration capabilities. Users can easily design surveys with a wide range of customizable templates, collect responses seamlessly, and gain insights through detailed reports.

Recommended for

  • businesses seeking customer feedback or conducting market research
  • educational institutions gathering student or faculty feedback
  • non-profits conducting outreach or program evaluations
  • event organizers collecting attendee feedback
  • researchers conducting academic surveys

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.

Survey Monkey videos

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Matplotlib videos

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Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Survey Monkey and Matplotlib)

Survey Monkey

Matplotlib

Surveys
100 100%
Surveys
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Forms And Surveys
100 100%
Forms And Surveys
0% 0
Technical Computing
0 0%
Technical Computing
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 Survey Monkey and Matplotlib

Survey Monkey Reviews

10 SurveyMonkey Alternatives and Competitors in 2024
This alternative to SurveyMonkey offers professionally designed templates, customizable options, and personalized Nudges that blend seamlessly with your branding. Their targeted surveys yield more valuable responses than email surveys, as they capture users in the moment. You have complete control over when and whom the survey targets, allowing for feedback collection at...
Source: clickup.com
9 Survey Monkey Alternatives for Your 2024 Market Research
Weโ€™ve already laid out the central features of Survey Monkey, but what exactly makes it one of the best choices for data collection and market research? Here are several reasons why you might pick Survey Monkey:
Source: www.fullsession.io
10 Better Alternatives to Survey Monkey for Comprehensive Data Collection
Medallia is a compelling alternative to Survey Monkey, especially for enterprises looking to gain a comprehensive understanding of customer experiences and feedback. Its extensive feedback collection options, advanced analytics, and focus on actionable insights make it an invaluable tool for businesses striving to enhance customer satisfaction and loyalty. While Medallia...
Source: www.zoho.com
Top 5 Alternatives To SurveyMonkey: List of Top Survey Software Competitors
If you are looking for SurveyMonkey alternatives then we have prepared a list of reliable solutions that you can try out instead. This article details the main features and benefits of SurveyMonkey and five good alternatives. We also compare their pricing schemes and integration options for your benefit.
Source: financesonline.com
SurveyMonkey Competitors and Alternatives โ€“ 7 of the Best
AskNicely is survey software with a very defined purpose: helping companies improve customer satisfaction based on the Net Promoter Score (NPS). Boasting a 38-percent response rate, this SurveyMonkey alternative leverages connections that allow users to integrate surveys into software they already use to reach out to and learn from customers.
Source: www.fieldboom.com

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

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than Survey Monkey. While we know about 114 links to Matplotlib, we've tracked only 9 mentions of Survey Monkey. 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.

Survey Monkey mentions (9)

  • In-app surveys for React Native Apps
    Let's talk about the big 2 first: Typeform and SurveyMonkey. - Source: dev.to / over 2 years ago
  • [iOS] Pro-tip: if the fill password prompt is not automatically showing up on websites/apps on your iPhone, make sure to include "https://" before the URI.
    For example, instead of setting your URI for SurveyMonkey to surveymonkey.com, you should instead set it to https://surveymonkey.com. Source: about 3 years ago
  • Iโ€™ve been nominated as chair of the Landscaping Committeeโ€ฆ what advice do you have?
    After that's all clear, I'd survey the HOA (surveymonkey.com) and create some type of chart (maybe a importance/performance grid) showing where residents feel the most help is currently needed in terms of landscaping. Your team can then work from there. Source: over 4 years ago
  • Is the Use of Social Media Addictive?
    The primary research for this will be carried out by creating a survey through surveymonkey.com and the information collated will be compared with my secondary research and a conclusion will be formed. Source: over 4 years ago
  • What is your job and how much do you get paid?
    Hey eveyone, can you take a minute and take this? I am doing a course in UX Design and I have to do some surveys like this. So if you could help me out, please take this survey and then let me know what you think. https://www.surveymonkey.com/r/WCW2Y2W Anonymous Job Survey Surveymonkey.com. Source: over 4 years ago
View more

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

What are some alternatives?

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

Google Forms - Simple web forms from Google.

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

Typeform - Create beautiful, next-generation online forms with Typeform, the form & survey builder that makes asking questions easy & human on any device. Try it FREE!

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

Qualtrics - Qualtrics is the most trusted research platform, helping brands make crucial business decisions. From surveys to insights to action.

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

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