Software Alternatives, Accelerators & Startups
Register | Login

LimeSurvey VS Matplotlib

Compare LimeSurvey VS Matplotlib and see what are their differences

Warmup Inbox
Warmup Inbox is a tool that automates the process of warming up your email inboxes, raising your sender reputation and inbox health automatically. featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

LimeSurvey logo LimeSurvey

LimeSurvey: the Online-Umfrage Tool - Open-Source Suryeys

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • LimeSurvey Landing page
    Landing page //
    2023-04-29
  • Matplotlib Landing page
    Landing page //
    2023-06-14

LimeSurvey features and specs

  • Open Source
    Being open source, LimeSurvey offers flexibility and customizability. Users can modify the code to suit specific needs and have access to a large community for support.
  • Cost-Effective
    Businesses can use the free version of LimeSurvey or opt for affordable paid plans, making it a cost-effective solution for survey needs.
  • Comprehensive Features
    LimeSurvey provides a wide range of features, including complex conditional logic, multiple question types, and detailed reporting tools, making it suitable for diverse survey requirements.
  • Multi-Language Support
    The platform supports multiple languages, which is beneficial for businesses and researchers working in international environments.
  • Data Ownership
    Users have full control and ownership of their data when they self-host LimeSurvey, ensuring data privacy and security.

Possible disadvantages of LimeSurvey

  • Requires Technical Knowledge
    Setting up and managing LimeSurvey, especially the self-hosted version, can be challenging for users without technical expertise.
  • User Interface
    Compared to some modern survey tools, LimeSurvey's user interface can appear outdated and less intuitive, potentially affecting user experience.
  • Limited Integrations
    LimeSurvey offers fewer integrations with third-party applications compared to other survey tools, which might limit its functionality in some workflows.
  • Hosting Costs
    If opting for the self-hosted version, there will be additional costs associated with server hosting and maintenance.
  • Learning Curve
    Despite its powerful features, LimeSurvey can have a steep learning curve for new users who may find it hard to master all its functionalities quickly.

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 LimeSurvey

Overall verdict

  • LimeSurvey is a powerful and flexible survey tool that is well-regarded for its open-source nature and extensive customization options.

Why this product is good

  • LimeSurvey is a popular choice because it allows users to create complex surveys with a variety of question types and logic rules. It is open-source, which means it's highly customizable and encourages community contributions. Additionally, it provides robust reporting tools and supports multiple languages, making it accessible for international use.

Recommended for

    LimeSurvey is ideal for organizations and individuals who need an affordable and customizable survey solution. It is well-suited for academic researchers, non-profits, and businesses looking to conduct extensive survey research without the high costs associated with proprietary software.

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.

LimeSurvey videos

+ Add

LimeSurvey Tutorial - Question Type: Array

More videos:

  • Review - Create An Effective Online Survey and Questionnaire in LimeSurvey
  • Tutorial - NEW!! Limesurvey tutorial-Likert Scale

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to LimeSurvey and Matplotlib)

LimeSurvey

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

Share your experience with using LimeSurvey and Matplotlib. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare LimeSurvey and Matplotlib

LimeSurvey Reviews

9 Survey Monkey Alternatives for Your 2024 Market Research
LimeSurvey is great for when you need a survey tool that goes the extra mile in customization. Itโ€™s perfect for any project that demands more than just the usual questions, like in-depth research or specialized feedback gathering.
Source: www.fullsession.io
10 Better Alternatives to Survey Monkey for Comprehensive Data Collection
For more advanced features, including enhanced support and security, users can opt for LimeSurvey's paid plans, which offer competitive pricing based on subscription plans.
Source: www.zoho.com
12 Best SurveySparrow Alternatives With Pricing and Features
An open-source survey tool, LimeSurvey is very similar to SurveySparrow in features. You can get this tool for free as well as via subscriptions. It has an open code so anyone can access its features and also modify the tool as per their needs.
Source: qualaroo.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 LimeSurvey. While we know about 114 links to Matplotlib, we've tracked only 1 mention of LimeSurvey. 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.

LimeSurvey mentions (1)

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 / 5 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 / 8 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 / 9 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 / 10 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 / 11 months ago
View more

What are some alternatives?

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

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.

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

Google Forms - Simple web forms from Google.

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

Loading...