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Matplotlib VS Ninox

Compare Matplotlib VS Ninox and see what are their differences

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Do-It-Yourself Data Analytics & Business Intelligence, Powered by AI featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Matplotlib logo Matplotlib

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

Ninox logo Ninox

Ninox is a human-friendly database. Create your own Business Application with Ninox that matches your workflow. Ninox lets you integrate CRM, ERP, HR and many more...
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Ninox Landing page
    Landing page //
    2023-05-22

Create your own Business Application with Ninox that matches your workflow. Ninox lets you integrate and customize applications from different departments such as CRM, ERP, HR, Accounting, Sales and PM to streamline your operations most efficiently. Additionally Ninox promotes team collaboration functionalities and the integration of the most common used services e.g. Google (Sheets, Drive, Calendar, Forms) and many more.

Matplotlib

Website
matplotlib.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Ninox

Website
ninox.com
Pricing URL
Official Ninox Pricing
$ Details
paid Free Trial โ‚ฌ10.0 / Monthly (2 GB per user)
Platforms
Browser Android iOS Web Windows Mac OSX Google Chrome
Release Date
2013 January
Startup details
Country
Germany
State
Berlin
City
Berlin
Founder(s)
Alexander Koenig
Employees
10 - 19
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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.

Ninox features and specs

  • Versatility
    Ninox offers a robust set of features that cater to various business needs, including database management, workflow automation, and integration capabilities, making it suitable for many different types of users and industries.
  • User-Friendly Interface
    Ninox has an intuitive and user-friendly interface, which makes it relatively easy for users to create and manage databases without requiring deep technical knowledge.
  • Cloud and On-Premises Options
    Ninox offers both cloud-based and on-premises solutions, giving organizations the flexibility to choose the deployment method that best suits their security and access needs.
  • Cross-Platform Support
    Ninox is available on various platforms including iOS, macOS, and Windows, in addition to a web-based version. This makes it accessible from almost any device.
  • Customization
    Users can customize tables, forms, fields, and reports to tailor the application to their specific needs, enhancing its flexibility and usability.

Possible disadvantages of Ninox

  • Pricing
    Compared to some other database management and automation tools, Ninox can be relatively expensive, especially for smaller organizations with limited budgets.
  • Learning Curve
    While Ninox is user-friendly, there is still a learning curve associated with mastering its full suite of features, especially for users who are not familiar with database management concepts.
  • Limited Public API
    Ninox has a limited public API, which can restrict its integration capabilities with some third-party applications and services, posing a challenge for users with complex integration needs.
  • Complexity with Advanced Features
    The more advanced features of Ninox, such as scripting for automation and complex database relationships, may require more technical knowledge and could be daunting for less experienced users.
  • Mobile App Limitations
    Although the mobile app is functional, it can sometimes lack the full feature set of the desktop and web versions, leading to a less optimal experience on mobile devices.

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.

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Ninox videos

+ Add

Ninox Database iPad App Demo

More videos:

Category Popularity

0-100% (relative to Matplotlib and Ninox)

Matplotlib

Ninox

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Project Management
0 0%
Project Management
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
Databases
0 0%
Databases
100% 100

User comments

Share your experience with using Matplotlib and Ninox. 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 Matplotlib and Ninox

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

Ninox Reviews

Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Ninox Pricing: Ninox offers a freemium plan with limited features for a single user. Paid plans start at โ‚ฌ8 per user per month for additional features and functionalities. Enterprise plans with custom pricing cater to large-scale deployments.
Source: medium.com
10 Best Low-Code Development Platforms in 2020
A free trial of 30 days is available for the product. Ninox has two pricing plans i.e. Ninox Cloud and Private Cloud. Ninox Cloud price starts at $8.33 per user per month. Private cloud price starts at $16.66 per user per month.
Source: www.softwaretestinghelp.com

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.

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

Ninox mentions (0)

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

What are some alternatives?

When comparing Matplotlib and Ninox, 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.

Nintex - Cloud-based digital workflow management automation platform

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

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€‹

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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