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ToolJet VS Matplotlib

Compare ToolJet VS Matplotlib and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

ToolJet logo ToolJet

Open-source alternative for Retool

Matplotlib logo Matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety...
  • ToolJet Landing page
    Landing page //
    2023-09-07
  • Matplotlib Landing page
    Landing page //
    2023-06-14

ToolJet features and specs

  • Open-source
    ToolJet is an open-source platform, which means you can customize the tool to fit your specific needs while also benefiting from community contributions and transparency.
  • No-code/Low-code
    ToolJet allows users to build powerful applications with minimal to no coding, making it accessible to non-developers and reducing the time required to develop applications.
  • Integration
    ToolJet offers integrations with various databases, APIs, and third-party services, enabling seamless data flow and interaction with other tools.
  • Extensibility
    The platform can be extended with custom widgets and functionalities, allowing developers to add specific features not available out-of-the-box.
  • Community Support
    As an open-source tool, ToolJet has a growing community of users and developers who contribute to its development and provide support through forums and repositories.

Possible disadvantages of ToolJet

  • Learning Curve
    Despite its no-code nature, there might be a learning curve for non-developers unfamiliar with the concepts of application building and data management.
  • Documentation
    As with many open-source projects, documentation quality can vary and may not be as comprehensive as that of commercial alternatives.
  • Scalability
    Depending on deployment and usage, scaling applications might require additional infrastructure management and technical know-how.
  • Support
    While community support is available, it might lack the immediate and guaranteed assistance found in commercial products with dedicated support teams.
  • Feature Gaps
    Being a relatively newer and open-source tool, ToolJet may lack some advanced features found in more mature or commercial platforms.

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 ToolJet

Overall verdict

  • Overall, ToolJet is considered a reliable and efficient tool for building applications fast, especially suited for teams looking to reduce development time and costs while maintaining flexibility and control over their projects.

Why this product is good

  • ToolJet is a low-code platform that allows developers and teams to build and deploy applications quickly without extensive coding. It includes a variety of built-in features such as integrations with databases and APIs, drag-and-drop interface components, and collaborative tools that facilitate teamwork. Its open-source nature also allows users to customize and extend its functionalities as needed.

Recommended for

  • Startups looking to prototype quickly
  • Developers seeking to reduce coding time
  • Teams requiring a collaborative development environment
  • Organizations wanting to build internal tools efficiently
  • Non-developers needing to create applications with minimal coding

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.

ToolJet videos

+ Add

ToolJet - Introduction

More videos:

  • Review - FOSS Meetup - July 2021 | AdonisJS | Cloud Native chaos | ToolJet | FOSS United

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Category Popularity

0-100% (relative to ToolJet and Matplotlib)

ToolJet

Matplotlib

No Code
100 100%
No Code
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Technical Computing
0 0%
Technical Computing
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 ToolJet and Matplotlib

ToolJet Reviews

Top 9 Low-Code Tools for 2023 for low-code development
Tooljet is a low-code development platform that empowers users to build web and mobile applications without extensive coding knowledge. It offers a drag-and-drop interface, pre-built templates, and a range of components for rapid application development. Tooljet supports integrations with popular databases and external services, allowing users to create dynamic and...
Source: blog.illacloud.com
Appsmith vs. Tooljet: Which Low-Code Platform is Better for You?
In this blog post, we will compare two popular LCDPs for building internal tools: Appsmith and Tooljet. We will also introduce ILLA Cloud, a new and innovative LCDP that offers a viable alternative to Appsmith and Tooljet.
Source: blog.illacloud.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 should be more popular than ToolJet. 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.

ToolJet mentions (13)

  • Building an intelligent CRM using ChatGPT, PostgreSQL, and ToolJet
    You can also download its JSON file and import it into a ToolJet app, but you'll need to provide your Sendinblue credentials and OpenAI API key. - Source: dev.to / about 3 years ago
  • Adding ability to import packages using Micropip to our low-code web framework - ToolJet
    You can quickly try out this feature on ToolJet Cloud (https://tooljet.com) or on your local machine (https://docs.tooljet.com/docs/setup/try-tooljet). Source: over 3 years ago
  • Building Recruitment Management App using Appwrite and ToolJet (Part 1)
    ToolJet (https://github.com/ToolJet/ToolJet): A free and open-source low-code platform that allows you to quickly build applications. Sign up here. - Source: dev.to / about 4 years ago
  • Build a coupon code manager app in 30 minutes
    This tutorial will guide you to build a CRUD app that will let you create new coupons, edit or delete existing coupons. We will be using ToolJet to build this application and will use Google Sheets as the data source. - Source: dev.to / over 4 years ago
  • Best (Free) Web-based Front-end Form for an SQL Database
    Checkout https://retool.com/ or https://tooljet.com/. Built for exactly this purpose. Source: over 4 years ago
View more

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

What are some alternatives?

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

Retool - Build custom internal tools in minutes.

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

Appsmith - Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.

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

Budibase - What Wordpress is to websites, Budibase is to web apps. Budibase is a free and open source web app builder for creating, launching and growing web applications. Budibase eliminates repetition and dramatically reduces development time. Check it out.

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

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