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DHTMLX VS Python

Compare DHTMLX VS Python and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. sponsored
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

DHTMLX logo DHTMLX

JavaScript Library for cross-platform web and mobile app development with HTML5 JavaScript widgets. Easy integration with popular JavaScript Frameworks.

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.
  • DHTMLX Landing page
    Landing page //
    2023-07-27
  • Python Landing page
    Landing page //
    2021-10-17

Find popular and trending Python projects on LibHunt

DHTMLX features and specs

  • Comprehensive Suite
    DHTMLX offers a wide range of UI components, from grids and charts to complex Gantt and scheduler components, providing a comprehensive toolkit for web application development.
  • Rich Documentation
    The platform provides extensive documentation, demos, and examples, which are invaluable for developers in understanding and implementing various components efficiently.
  • Cross-Browser Compatibility
    DHTMLX components are designed to be fully compatible across major browsers, ensuring a consistent user experience regardless of the user's environment.
  • Support and Community
    DHTMLX offers various support options including forums and ticket-based support, alongside a strong user community that can provide insights and assistance.
  • Customizability
    The components are highly customizable, allowing developers to tailor them to fit the specific aesthetics and functionality requirements of their projects.

Possible disadvantages of DHTMLX

  • Cost
    While DHTMLX provides a free version, the full suite with advanced features requires a paid license, which can be a drawback for startups or individual developers with limited budgets.
  • Complexity
    With its comprehensive set of features, DHTMLX can have a steep learning curve for newcomers who are unfamiliar with its architecture and functionalities.
  • Dependency on Proprietary Framework
    Using DHTMLX can lead to a dependency on its particular frameworks and methodologies, which might be a concern for projects that prioritize open-source solutions.
  • Performance Overhead
    Implementing multiple DHTMLX components in a single application might introduce performance overhead, which requires optimization to maintain responsiveness.
  • Limited Open Source Contributions
    As a commercial library, DHTMLX might not benefit from as many open source contributions and innovations as purely open-source alternatives.

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

DHTMLX videos

+ Add

Dhtmlx Scheduler

More videos:

  • Review - dhtmlxGantt 6.1 Release: Time Constraints, Backward Scheduling, S-curve and dataProcessor Update
  • Review - Dhtmlx-Grid with Flux4 Part2

Python videos

+ Add

Creator of Python Programming Language, Guido van Rossum | Oxford Union

Category Popularity

0-100% (relative to DHTMLX and Python)

DHTMLX

Python

Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0
Programming Language
0 0%
Programming Language
100% 100
Development Tools
100 100%
Development Tools
0% 0
OOP
0 0%
OOP
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 DHTMLX and Python

DHTMLX Reviews

We have no reviews of DHTMLX yet.
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Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Let’s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Source: www.analyticsinsight.net
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
Source: blog.back4app.com
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
Source: searchbusinessanalytics.techtarget.com
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than DHTMLX. While we know about 300 links to Python, we've tracked only 1 mention of DHTMLX. 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.

DHTMLX mentions (1)

  • How Much Does It Cost To a Project Management App
    To finish projects on time, efficient time management is a must. To help managers deal with deadlines, we usually implement a fully functional Gantt chart. To create a reliable and user-friendly UI, choosing the right set of tools is essential. In our work, we usually rely on Webix, a JavaScript UI library developed by the brightest minds of XB Software. Another ace up our sleeve is JavaScript UI libraries by... - Source: dev.to / over 4 years ago

Python mentions (300)

  • Self-contained highly-portable Python distributions
    > When you download Python from http://python.org (on Linux or macOS), what you're actually downloading is an installer that builds Python from source on your machine. > The net effect is that on Linux and macOS, you can't "download a Python binary" from... anywhere. Other than the python-build-standalone project. Are you sure this is right about macOS? I just had a look inside the macOS installer from python.org... - Source: Hacker News / about 1 month ago
  • How to Build a Dependency Map of a Legacy Codebase Using AI Tools
    137Foundry provides legacy modernization services that include dependency mapping as a foundational assessment phase. Prettier and ESLint are useful companion tools for enforcing code style consistency as the refactoring proceeds. Node.js and Python.org official documentation are authoritative references for understanding the import and module systems of those runtimes. - Source: dev.to / 4 months ago
  • How to Prepare a Legacy Codebase for AI-Assisted Refactoring
    For Python codebases, tools like Python's built-in ast module and import analysis scripts can generate call graphs. For JavaScript, ESLint and module analysis tools serve a similar purpose. GitHub advanced search can help you find all internal references to a specific function across a large repository. - Source: dev.to / 4 months ago
  • Async Web Scraping in Python: asyncio + aiohttp + httpx (Complete 2026 Guide)
    Import asyncio Import aiohttp From bs4 import BeautifulSoup Async def scrape_and_parse(url: str, session: aiohttp.ClientSession) -> dict: async with session.get(url) as response: html = await response.text() # BeautifulSoup parsing happens after the await — no issue soup = BeautifulSoup(html, "html.parser") return { "url": url, "title": soup.title.string if soup.title... - Source: dev.to / 5 months ago
  • Don't Be Afraid of Git: A Beginner's Guide to Saving and Sharing
    **_Beginner mistake to avoid_** - Writing SQL only inside DBeaver - Always save SQL files in VS Code and commit them **Using PostgreSQL with Python** _**What Python does here**_ Python talks to PostgreSQL and says: - “Save this data” - “Get this data” - PostgreSQL listens. Python works. _**Step 1: Install Python **_ - Download from https://python.org - During install, check Add Python to PATH Screenshot... - Source: dev.to / 8 months ago
View more

What are some alternatives?

When comparing DHTMLX and Python, you can also consider the following products

jQuery - The Write Less, Do More, JavaScript Library.

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

Sencha Ext JS - Sencha Ext JS is the most comprehensive JavaScript framework for building data-intensive, cross-platform web and mobile applications for any modern device. Ext JS includes 140+ pre-integrated and tested high-performance UI components.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

Webix UI - An enterprise JavaScript Library for cross-platform app development with HTML5 JavaScript widgets and easy integration with most popular JavaScript Frameworks.

C++ - Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation

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