Software Alternatives, Accelerators & Startups

involve.me VS Matplotlib

Compare involve.me VS Matplotlib and see what are their differences

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involve.me logo involve.me

involve.me is a lead funnel builder used by companies to boost online conversions. Interactive flows within the funnels help guide, qualify and capture leads.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • involve.me Landing page
    Landing page //
    2023-10-17
  • involve.me Analyze data with AI
    Analyze data with AI //
    2024-01-18
  • involve.me No-code editor
    No-code editor //
    2024-01-18
  • involve.me Large template library
    Large template library //
    2024-01-18

involve.me is a tool that helps companies to boost online conversions. It is a powerful no-code funnel builder designed to guide & score visitors on your website and turn them into qualified leads. Companies can create these interactive funnels from scratch using templates, or leveraging involve.meโ€™s AI builder. These funnels personalize the lead generation process through a variety of interactive elements. Form, survey, calculator and quiz elements can be strung together in a drag & drop editor to build multi-step user flows. Funnels can easily be embedded into websites & used as stand-alone landing pages. These interactive funnels can then be seamlessly integrated with existing sales & marketing tools such as Salesforce, HubSpot, Mailchimp, ActiveCampaign & more. This creates an effortless flow in your funnel allowing companies to focus solely on converting qualified leads.

  • Matplotlib Landing page
    Landing page //
    2023-06-14

involve.me features and specs

  • AI Form Generation
  • AI Text Generation
  • AI Report Generation
  • Conditional Logic
  • Embeddable

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 involve.me

Overall verdict

  • Involve.me is considered a good tool for businesses or individuals looking to create engaging, personalized content that can capture leads, gather insights, and increase conversions. Its features cater to a wide range of use cases, and it offers integrations with popular marketing and CRM tools, making it a versatile choice for many users.

Why this product is good

  • Involve.me is a platform designed to enhance engagement and conversion through interactive content such as quizzes, surveys, calculators, and forms. It's particularly known for its user-friendly drag-and-drop editor, which allows users to create customized experiences without needing coding skills.

Recommended for

  • Marketing professionals aiming to increase customer engagement
  • Businesses wanting to create personalized customer experiences
  • Teams looking to capture and analyze customer data without technical complexity
  • Educators and trainers who need interactive content for courses or assessments

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.

involve.me videos

Involve.Me Saas Interview

More videos:

  • Tutorial - How To Make A Sales Funnel With involve.me
  • Tutorial - What is involve.me
  • Review - ๐Ÿš€ Involve.me Review | Best Survey Tool | Typeform Alternative
  • Review - Involve.Me Review: A Powerful & Easy to Use Form Building tool
  • Review - Involve.Me Review: User-friendly software for a business boo is!

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to involve.me and Matplotlib)
Productivity
100 100%
0% 0
Data Science And Machine Learning
Web App
100 100%
0% 0
Technical Computing
0 0%
100% 100

Questions & Answers

As answered by people managing involve.me and Matplotlib.

What makes your product unique?

involve.me's answer

involve.me uses AI across the entire form building process. Using involve.me you can utilize AI to create, personalize and analyze forms for any business and use case.

Why should a person choose your product over its competitors?

involve.me's answer

involve.me's editor is intuitive, easy to use and does not require any technical knowledge. You can create on-brand forms in no time and tackle complex use cases. Using AI, the process of creating a new form, survey or quiz is fast and simple. Additionally, there are plenty integrations available out of the box and a large template library to get you up to speed with any form, quiz or survey you have in mind.

How would you describe the primary audience of your product?

involve.me's answer

Business across the board use involve.me to boost their online data collection and improve lead generation.

User comments

Share your experience with using involve.me and Matplotlib. 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 involve.me and Matplotlib

involve.me Reviews

14 ProProfs alternatives for quizzes, surveys, and more in 2025
Involve.me has some big-name users โ€” like Salesforce and Bloomberg โ€” for good reason. With over 200 templates, extensive design tools, and an easy drag-and-drop editor, many companies will see this as a great tool for generating leads and engaging their audience. You can embed your quizzes directly on your website or create unique landing pages for each quiz.
Source: www.jotform.com
14 Best Linktree Alternatives To Check Out in 2024
Involve.me has a suite of tools, including LinkList, which allows you to create a micropage thatโ€™s branded. The platform has a number of templates that you can use on your micropage, including those designed for digital creators, YouTubers, travelers, enterprises and more.
Typeform Alternatives: Tools for Surveys, Forms, and Quizzes
You can use a free version of Involve.me if you are only looking to collect up to 100 responses a month. You do not need to provide credit card info. There is also a 14-day free trial, and paid plans start at $19 with 1,000 responses.
Source: survicate.com
27 Best Typeform Alternatives In 2022 (Free & Paid)
With Involve.me, you can increase your audienceโ€™s involvement with your product and gather all kinds of data with different question types, interactive content, and logic steps.
11 Best Typeform Alternatives to Check-in 2022
Involve.me is a modern customer experience platform that helps businesses in creating personalized interaction at every step of the customer journey. They aim to increase the involvement of the audience and also gather better and more significant data.
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.
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.
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.
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...

Social recommendations and mentions

Based on our record, Matplotlib seems to be a lot more popular than involve.me. While we know about 114 links to Matplotlib, we've tracked only 2 mentions of involve.me. 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.

involve.me mentions (2)

  • I need a form template like typeform but one that collects partial responses
    - Mobile friendly ( I have tried involve.me which I loved but the form is super strange on mobile.). Source: over 3 years ago
  • How do I recruit content creators for user research to validate an idea?
    I've had pretty good success with Facebook for these kind of user surveys, find a group or groups of the type of users you want to work with and check with the mods/rules that its ok to post surveys. I then use something like typeforms or involve.me to host my questions and make sure there are a few "qualifying" questions throughout the survey to later filter out responses that are a bad fit. Source: about 4 years ago

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 / 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
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What are some alternatives?

When comparing involve.me and Matplotlib, you can also consider the following products

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!

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

Outgrow - Enabling marketers boost conversion with interactive, beautiful & viral quizzes/calculators.

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

Jotform - Free Online Form Builder & Form Creator

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