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Matplotlib VS Scriptcase

Compare Matplotlib VS Scriptcase and see what are their differences

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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...

Scriptcase logo Scriptcase

Powerful web low-code RAD platform. Unleash the power of web development and boost your productivity time creating delightful projects with magnificent BI solutions.
  • Matplotlib Landing page
    Landing page //
    2023-06-14
  • Scriptcase Landing page
    Landing page //
    2022-03-25

Deliver your project applications. โ€‹โ€‹Publish your apps easily private and public clouds or on premise, in a few steps. To make applications developed within Scriptcase available for access by the end user, you use the process called deployment.

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.

Scriptcase features and specs

  • Reports
    Scriptcase is a powerful tool for generating web systems and business applications. It also helps you to create complete reports (with dashboards, charts and pivot tables) in a simple and fast way for the management data analysis (Business Intelligence). Learn more about the features available to create reports and summaries.
  • Charts
    In addition to the integrated charts that comes with Grid application, Scriptcase has also an exclusive application for dynamic JavaScript graphs creation and customization, with a drag and drop interface for organizing metrics and dimensions in a easy and fast way. With Scriptcase charts, you never have to start from scratch. See here some features for building Charts.
  • Dashboards
    Application for creating business dashboards with key performance indicators (KPIs) that are relevant to a particular purpose or business process. Check here the features available in Scriptcase Dashboards.
  • Forms
    Create simple and advanced web forms using the various options available in Scriptcase: automatic data validation, layout in blocks and tabs, editing and inclusion of multiple records, editable grid form, many to many relationship, among other features. In a complete and secure way with just a few clicks.
  • Calendar
    Calendar application for creating and updating of events directly in the database table, form for inclusion, update and deletion, drag and drop feature to move the events and integration with Google Calendar.
  • Menus
    Menu applications to create a hierarchical structure of your applications navigation system. Scriptcase has two menu applications available: Horizontal or Vertical Menu and Tree Menu.
  • Security
    Scriptcase, through the Security Module, generates the entire control of applications, users, and groups automatically. You can create secure systems to prevent unauthorized users from having access to certain applications. Learn more about the security features that Scriptcase offers for your applications security.
  • Databases
    The projects created in Scriptcase may be connected to different DBMS (MySQL, PostgreSQL, SQLite, Interbase, Firebird, MS Access, Oracle, SQL Server, DB2, SyBase, Informix, or ODBC layer). Scriptcase manages all the connection to the database in order to ease the creation process and maintenance of applications. Learn more about database features.
  • Internationalization
    Applications created by Scriptcase supports more than 50 languages. Tools like Data Dictionary facilitate the import and translation of tables names, fields and internal messages of the system.
  • Programing
    Scriptcase offers several options within its environment so you are free to add your own business rules and customize the system according to the needs of each project. Integration with external libraries, programming IDE (Blank), Events, Macros ... are some of the features available. Learn more about these tools.
  • Interface
    Scriptcase offers a complete development environment with several features that optimize team projects. It also enables people located in different places to work on the same project simultaneously. Check out some of the features available.

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 Scriptcase

Overall verdict

  • Overall, Scriptcase is a good choice for developers looking for a rapid application development tool that combines ease of use with the ability to handle complex projects. While it may not be perfect for every scenario, particularly for pure custom development needs, it excels in speeding up the development of data-driven applications.

Why this product is good

  • Scriptcase is considered a good tool by many because it offers a robust environment for developing web applications efficiently. It features a drag-and-drop interface that simplifies the development process, includes options for creating forms, dashboards, and data grids, and supports multiple database connections. Additionally, Scriptcase generates PHP code that can be customized, and it allows integration with many third-party libraries and services, enhancing its capabilities.

Recommended for

  • Developers seeking to quickly create database-driven applications
  • Organizations needing to prototype web applications rapidly
  • Teams looking to improve application development productivity through automation
  • Developers who prefer a low-code development environment with PHP code generation capabilities

Matplotlib videos

+ Add

Learn Matplotlib in 6 minutes | Matplotlib Python Tutorial

Scriptcase videos

+ Add

SCRIPTCASE - before you buy it (Part-1)

More videos:

  • Demo - Scriptcase 2019 - Demostraciรณn resumida de Scriptcase - Guรญa de inicio
  • Review - Scriptcase - Bootstrap Tour

Category Popularity

0-100% (relative to Matplotlib and Scriptcase)

Matplotlib

Scriptcase

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
PHP Framework
0 0%
PHP Framework
100% 100
Technical Computing
100 100%
Technical Computing
0% 0
PHP MVC Framework
0 0%
PHP MVC Framework
100% 100

User comments

Share your experience with using Matplotlib and Scriptcase. 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 Scriptcase

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

Scriptcase Reviews

  1. Diego Silva
    ยท Developer at Freelancer ยท
    Quick, simple and complete solution!

    Scriptcase's learning curve is great, anyone can quickly develop their first system in a very complete way. The solution offers all the applications that a good web system needs, grid, dashboards, reports, forms, etc. In addition, its security module is very modern and efficient. Added to that, it has a very large developer community that helps a lot to clear up doubts and build ideas.

    ๐Ÿ‘ Pros:    Fast|Super simple|Rad|Low code|Secure and easy to use|Eficiente
    ๐Ÿ‘Ž Cons:    None
  2. Eridson Igor
    ยท IT Analist at Software Web ยท
    Easy, fast and efficient development

    With scriptcase it is possible to develop web systems quickly without necessarily requiring a lot of technical knowledge in programming. With basic knowledge in development, we were able to create complete systems, the tool has several native modules, very useful integrations and a large community.

    In addition, its latest update brought mobile optimization to important applications such as graphics form, calendars, menu, etc. Added to all this, it offers many advantages in terms of security.

    ๐Ÿ‘ Pros:    Fast|Security|Efficient|Collaborative|Mobile-friendly|Easy to track data|Quick response time from developers|Powerful development environments
    ๐Ÿ‘Ž Cons:    None

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

Scriptcase mentions (0)

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

What are some alternatives?

When comparing Matplotlib and Scriptcase, 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.

Laravel - A PHP Framework For Web Artisans

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

CodeIgniter - A Fully Baked PHP Framework

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

Zend - Running PHP web servers? Zend by Perforce delivers a leading enterprise PHP platform, long-term PHP support that extends beyond community offerings, PHP training and certification, and more.

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