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Matplotlib VS HeyForm

Compare Matplotlib VS HeyForm and see what are their differences

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Matplotlib logo Matplotlib

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

HeyForm logo HeyForm

Paperless data collection with better data insights
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • HeyForm Landing page
    Landing page //
    2023-09-06

HeyForm is a form application suite that allows you to create beautiful online forms and collect information from users, without any technical knowledge or skills.

It can be used for a survey, quiz, job application, event registration, contact form as well as many other ways. It doesnโ€™t require any technical skills to efficiently create online forms that look and behave in a professional manner.

You can get started for free, and upgrade to premium plans anytime to embrace more useful features as you wish.

โš™๏ธ Features of HeyForm

  • Unlimited projects
  • Unlimited forms
  • Drag & drop builder
  • 40+ field types
  • Field validations
  • Export your data
  • Share to multiple channels
  • Say bye to spam
  • File Upload
  • Prioritize your privacy
  • Your data is safe and secure

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.

HeyForm features and specs

  • User-Friendly Interface
    HeyForm offers a clean and intuitive interface that makes it easy for users to create and manage forms without requiring advanced technical skills.
  • Customizable Templates
    Users have access to a variety of customizable templates, allowing them to quickly set up forms suited to their specific needs.
  • Integration Options
    HeyForm integrates with various third-party applications, enabling users to connect their forms with tools they already use for a more streamlined workflow.
  • Responsive Design
    Forms created with HeyForm are mobile-friendly and automatically adjust to different screen sizes, improving accessibility for respondents.
  • Data Analytics
    HeyForm provides data analytics features that help users gain insights from form responses, making it easier to make informed decisions.

Possible disadvantages of HeyForm

  • Limited Advanced Features
    While suitable for basic form creation, HeyForm may lack some of the advanced features that more robust form-building platforms offer, such as conditional logic.
  • Customer Support
    Some users may find customer support options limited or less responsive compared to other platforms that have more extensive support networks.
  • Pricing Structure
    Depending on the userโ€™s needs, some may find the pricing structure less competitive, especially when compared with other platforms offering similar features for lower costs.
  • Customization Limitations
    While templates are customizable, there may be limitations to how much users can personalize their forms beyond the available options.
  • Learning Curve for Advanced Features
    Some users may experience a learning curve when trying to utilize more complex functionalities within the platform.

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.

Analysis of HeyForm

Overall verdict

  • Overall, HeyForm is a good choice for those seeking a straightforward and efficient form-building tool. Its user-friendly design and robust features serve a wide range of needs, from small personal projects to larger business requirements.

Why this product is good

  • HeyForm is an online form builder that offers an intuitive user interface, a variety of customizable templates, and seamless integration capabilities with other platforms. It is known for its ease of use, which makes it accessible to users with limited technical knowledge. The platform also provides strong data security features and real-time analytics, making it a solid choice for businesses and individuals looking to collect and analyze data efficiently.

Recommended for

  • Small to medium-sized businesses needing data collection forms
  • Individuals seeking an easy-to-use form builder
  • Organizations looking for customizable forms with strong data security
  • Users who need integration with other productivity and data management tools

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

HeyForm videos

Introducing the HeyForm Platform | HeyForm

Category Popularity

0-100% (relative to Matplotlib and HeyForm)
Data Science And Machine Learning
Form Builder
0 0%
100% 100
Technical Computing
100 100%
0% 0
Productivity
0 0%
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 Matplotlib and HeyForm

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...

HeyForm Reviews

  1. Amadou Dembele
    Simplicity Meets Power.

    Using HeyForm has been a breeze.Creating forms is effortless thanks to its straightforward interface, and the customizable templates ensure everything looks polished. It works beautifully on any device, So I never worry about accessibility.

    But itโ€™s the analytics that truly elevate this toolโ€”turning raw data into actionable insights effortlessly. Integration with other tools is seamless, making workflows smoother and more efficient.

    HeyForm isnโ€™t just another form builder; itโ€™s a complete solution for modern data collection. Whether youโ€™re an individual or part of a team, it offers everything you need to stay ahead. Five stars, no hesitation.

  2. Md. R Hossain

    HeyForm stands out as a powerful tool for paperless data collection, offering a seamless and efficient way to gather, manage, and analyze data. With its focus on user experience and functionality, it caters to both individual users and businesses looking to simplify their workflows. Hereโ€™s a closer look at its key features:

    Key Strengths - User-Friendly Interface, Customizable Templates, Integration Options, Responsive Design, Data Analytics.

    ๐Ÿ Competitors: Clearbit Forms, Jotform
  3. Aboubacar Sissoko
    HeyForm Simplified Data Collection Done Right

    If you're looking for a hassle-free way to manage data collection,heyForm is your answer. The interface is incredibly easy to use, perfect for both beginners and pros. Customizable templates? Check. Responsive design? Absolutelyโ€”it works smoothly on all devices.

    But what truly shines is its data analytics. It doesnโ€™t just collect information; it helps you understand it with actionable insights. And if you rely on other tools, the integration options are seamless, making it an effortless addition to your workflow.

    HeyForm isnโ€™t just another form builderโ€”itโ€™s a productivity booster. For businesses or individuals seeking reliable and insightful data solutions, this tool delivers on all fronts. Give it a tryโ€”you wonโ€™t be disappointed.

Social recommendations and mentions

Based on our record, Matplotlib should be more popular than HeyForm. It has been mentiond 114 times since March 2021. 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 / 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

HeyForm mentions (29)

  • Show HN: Typeform was too expensive so I built my own forms
    Poked around the code a little bit, it doesn't seem that it is intended to be able to drop into another project and then use as a custom form builder for that project. Any plans for something like this? A lot of the infrastructure and framework (next/js) seem heavily built into the codebase. I would have to use supabase? If you're working towards something that developers can drop in, take a look at... - Source: Hacker News / about 1 year ago
  • free-for.dev
    HeyForm.net - Drag and drop online form builder. Free tier lets you create unlimited forms and collect unlimited submissions. Comes with pre-built templates, anti-spam, and 100MB file storage. - Source: dev.to / almost 4 years ago
  • Buy me a coffee alternative for content creators!
    Try heyform.net if you're a content creator looking to collect feedback and donations. HeyForm allows content creators to convert their followers into supporters. You can create a simple payment form that followers can use to send you feedback and buy you a coffee (donate). Note: there's a 5% platform commission rate. Source: almost 4 years ago
  • During July, the HeyForm product team added several new features to the application, as well as making some changes to our home page and inner pages. Check out our new features and provide us with your feedback.
    One of our new feature is HeyForm Logic, it lets you build a form that responds to people's answers. Respondents can skip irrelevant questions and don't have to see questions unrelated to them. Check out our new feature "HeyForm Logic" and please provide us with your feedback: https://heyform.net/. Source: about 4 years ago
  • Our new online form builder, HeyForm. Need your valuable opinions.
    We would like you guys to go through the look and feel of the UI and design of the website. Your valuable feedback is very important for us. It will help us to improve to grow more. Try for free: https://heyform.net/. Source: about 4 years ago
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What are some alternatives?

When comparing Matplotlib and HeyForm, 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.

Tally.so - The simplest way to create forms, for free.

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

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

Fillout.com - Make powerful forms instantly with AI