Software Alternatives, Accelerators & Startups

Zoho Creator VS Matplotlib

Compare Zoho Creator VS Matplotlib and see what are their differences

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Zoho Creator logo Zoho Creator

Zoho Creator is a low-code application development platform that helps you build a custom, mobile-ready apps to run your business.

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • Zoho Creator Landing page
    Landing page //
    2023-08-29

Zoho Creator aims to empower users to build enterprise-class applications that run on mobile, tablet, and web. Users can create custom forms, configure workflows, build informative pages, and get their app up and running in minutes.

With over 6 million users worldwide and 60+ apps, our platform enhances business productivity. Zoho Creator is featured in Gartner Magic Quadrant for Enterprise Low-Code Application Platforms (LCAP), 2019.

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

Zoho Creator

Website
zoho.com
$ Details
paid Free Trial $10.0 / Monthly (User/Month billed annually)
Platforms
Android iOS Web Google Chrome Browser
Release Date
2006 March

Zoho Creator features and specs

  • Drag & Drop Interface
  • Dashboards and Visualizations
    Presents information and analytics in a digestible, intuitive, and visually appealing way.
  • Secure & Scalable
    Security to match your standards, and the ability to quickly grow with you.
  • API
    API Interfaces
  • Clean UI
    Minimalistic design, focused on providing maximum value to the user without distracting features
  • Analytics and Reporting
    Analytics and dashboard provide insight of your team activities
  • Easy to Set-up and use
    Intuitive UI
  • No Coding Skills Required
  • Collaboration Tools
  • Integrations
    Designed to Integrate Seamlessly with Your Favorite Tools

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 Zoho Creator

Overall verdict

  • Zoho Creator is a solid platform for those looking to easily create custom applications with minimal coding. Its comprehensive feature set and integration capabilities make it a good choice for businesses wanting flexibility and ease of use in their business applications.

Why this product is good

  • Zoho Creator is a low-code platform that allows users to build custom applications without extensive programming knowledge.
  • It offers a wide range of features including drag-and-drop interface, workflow automation, and integration with other Zoho products.
  • Zoho Creator supports multi-platform deployment, allowing apps to be used on web and mobile devices seamlessly.
  • It is a cost-effective solution for small to medium-sized businesses needing customized applications without a large budget.

Recommended for

  • Small to medium-sized businesses looking to automate workflows and processes.
  • Organizations with limited technical resources that require low-code solutions for app development.
  • Teams that are already using Zoho products and want to maintain an integrated suite of tools.
  • Businesses in need of rapid application development and deployment across different platforms.

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.

Zoho Creator videos

Hands-On with Zoho Creator

More videos:

  • Review - Share your application with users - Zoho Creator
  • Review - Hotel Management App in 5 steps | Build apps without coding | Zoho Creator
  • Demo - Custom apps to run your business - Zoho Creator

Matplotlib videos

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to Zoho Creator and Matplotlib)
Project Management
100 100%
0% 0
Data Science And Machine Learning
No Code
100 100%
0% 0
Technical Computing
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 Zoho Creator and Matplotlib

Zoho Creator Reviews

Low-Code Platforms Compared: Enterprise Guide for Developers
Zoho Creator: A leaner platform with strength in form-based apps, internal tools, and AI-assisted app creation through Zia. Well-suited for SMBs or departmental use, but less adaptable for distributed systems, microservices, or orchestration-heavy architectures.
Source: rierino.com
Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Strengths: Part of the Zoho suite, Zoho Creator offers a robust low-code platform with comprehensive features like forms, workflows, and reporting. It integrates seamlessly with other Zoho products, allowing you to build applications that leverage data and functionalities from other Zoho services you might already be using. Zoho Creator caters well to organizations already...
Source: medium.com
11 Business Process Management (BPM) Software for SMBs
Zoho Creator is built to auto-scale, which means whenever your business demands grow, the backend infrastructure of Zoho Creator seamlessly scales. Use the power of automation in your business processes and relax on your couch. You will also get more than 600 pre-built integrations to get all the departments to stay in a single place and talk to each other easily.
Source: geekflare.com
10 Best Low-Code Development Platforms in 2020
OutSystems provides the platform for developers to easily deliver and edit those applications. Salesforce Lightning is a suite of tools for developing business apps. Zoho Creator low code development platform can be used by non-developers and is perfect for building simple applications.
Best Google App Maker alternatives in 2020
Zoho Creatorโ€™s scripting language is Deluge. While Zoho advertises Deluge as โ€œthe programming language for non-programmers,โ€ itโ€™s still going to take some time to learn โ€“ which is not ideal if youโ€™re looking for something to build an app quickly with little experience. There are multiple versions of Zoho Creator in deployment, sometimes making it difficult to find the right...
Source: retool.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 more popular. 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.

Zoho Creator mentions (0)

We have not tracked any mentions of Zoho Creator yet. Tracking of Zoho Creator recommendations started around Mar 2021.

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
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What are some alternatives?

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

QuickBase - Quickbase provides a no-code operational agility platform that enables organizations to improve operations through real time insights and automation across complex processes and disparate systems. โ€‹โ€‹

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

Kissflow - Kissflow is a workflow tool & business process workflow management software to automate your workflow process. Rated #1 cloud workflow software in Google Apps Marketplace.

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

OutSystems - Build Enterprise-Grade Apps Fast.

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