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JetBrains MPS VS textX

Compare JetBrains MPS VS textX and see what are their differences

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JetBrains MPS logo JetBrains MPS

Use the MPS platform to create your own domain-specific language that speaks to your business needs.

textX logo textX

textX is a meta-language for building Domain-Specific Languages (DSLs) in Python. It is inspired by Xtext. It will help you build your textual language easily. You can invent your own language or build a support for an existing textual language.
  • JetBrains MPS Landing page
    Landing page //
    2023-05-16
  • textX Landing page
    Landing page //
    2023-08-20

JetBrains MPS features and specs

No features have been listed yet.

textX features and specs

  • Domain-Specific Language (DSL) Development
    textX is designed specifically for creating Domain-Specific Languages, making it highly suited for developers who need to quickly design and implement custom languages tailored to specific problem domains.
  • Ease of Use
    textX provides a simple and intuitive API that allows users to define their grammars and models with ease, making it accessible even for those who are new to the concept of DSLs.
  • Python Integration
    As textX is implemented in Python, it seamlessly integrates with existing Python projects and allows for leveraging the extensive Python ecosystem and libraries.
  • Meta-Modeling
    textX supports meta-modeling features, enabling the definition of complex model structures and offering flexibility in language design.
  • Active Community
    The project has an active community and is well-documented, providing strong support and resource availability for new users.

Possible disadvantages of textX

  • Performance Limitations
    Being an interpreter-based tool with a Python implementation, textX might have performance restrictions when compared to tools written in more performant languages like C++ or Java, particularly for very complex or computation-intensive models.
  • Python Dependency
    Since textX is tightly bound to Python, it may not be the best choice for users who are looking to integrate with systems or tools outside the Python ecosystem.
  • Learning Curve for Complex Use Cases
    While textX is relatively easy for simple applications, more complex DSLs can introduce a steeper learning curve, especially when dealing with advanced features like custom semantic analysis.
  • Limited Tooling
    textX may lack some of the more advanced tools and integrations that are available in larger DSL or modeling frameworks, which might limit functionality for large-scale industrial applications.

JetBrains MPS videos

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Why JetBrains MPS

More videos:

  • Review - Why mbeddr.com uses JetBrains MPS

textX videos

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Category Popularity

0-100% (relative to JetBrains MPS and textX)

JetBrains MPS

textX

Parser Generator
46 46%
Parser Generator
54% 54
Developer Tools
43 43%
Developer Tools
57% 57
Monitoring Tools
43 43%
Monitoring Tools
57% 57
Documents
100 100%
Documents
0% 0

User comments

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What are some alternatives?

When comparing JetBrains MPS and textX, you can also consider the following products

ANTLR - ANTLR, ANother Tool for Language Recognition, is a language tool that provides a framework for...

Bison - GNU Bison, commonly known as Bison, is a parser generator that is part of the GNU Project.

Eclipse Xtext - The website of Eclipse Xtext, an open-source framework for development of programming languages and domain-specific languages

Ragel - Ragel compiles executable finite state machines from regular languages.

Aspose.Total Parser - Aspose.Total Parser is a free online documents parsing app that allows loading and extracting text as well as images from any document. It has included support for Word, Excel, PowerPoint, Microsoft Visio, MS Project, OneNote, OpenOffice & many more.

dropincc.java - dropincc.java - A small and easy to use parser generator.

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