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dropincc.java VS ANTLR

Compare dropincc.java VS ANTLR and see what are their differences

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dropincc.java logo dropincc.java

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

ANTLR logo ANTLR

ANTLR, ANother Tool for Language Recognition, is a language tool that provides a framework for...
  • dropincc.java Landing page
    Landing page //
    2023-07-25
  • ANTLR Landing page
    Landing page //
    2023-04-28

dropincc.java features and specs

No features have been listed yet.

ANTLR features and specs

  • Human-Readable Grammar
    ANTLR uses a grammar language that is intuitive and easy to read, which makes it accessible for developers to write and understand language specifications.
  • Comprehensive Tooling
    ANTLR comes with a full suite of tools for grammar development, testing, and analysis, which aids in the rapid development of parsers.
  • Target Language Support
    ANTLR can generate code for multiple target languages, including Java, C#, Python, and JavaScript, providing flexibility in implementation across various platforms.
  • Error Handling
    ANTLR provides built-in support for robust error detection and recovery, helping developers to handle syntax errors gracefully.
  • Active Community and Support
    Being popular and widely-used, ANTLR has a large community, offering abundant resources, tutorials, and forums for support.

Possible disadvantages of ANTLR

  • Steep Learning Curve
    ANTLR requires understanding concepts of lexing and parsing which can be challenging for beginners unfamiliar with language processing.
  • Performance Overhead
    The abstracted complexity in ANTLR might introduce some performance overhead, especially for large grammars or resource-constrained environments.
  • Limited Integration
    Integration with certain development environments can be limited, requiring more effort for setup and configuration.
  • Complex Error Messages
    ANTLR's error messages can sometimes be cryptic or hard to understand, making debugging more difficult for developers.
  • Version Compatibility
    Different versions of ANTLR might have compatibility issues, necessitating careful attention to version-specific features and documentation.

dropincc.java videos

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ANTLR videos

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ANTLR v4 with Terence Parr

More videos:

  • Review - Create a Text Parser in C# with ANTLR
  • Review - Antlr v4 on Java IntelliJ

Category Popularity

0-100% (relative to dropincc.java and ANTLR)

dropincc.java

ANTLR

Parser Generator
27 27%
Parser Generator
73% 73
Developer Tools
25 25%
Developer Tools
75% 75
Monitoring Tools
25 25%
Monitoring Tools
75% 75
Website Monitoring
100 100%
Website Monitoring
0% 0

User comments

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Social recommendations and mentions

Based on our record, ANTLR seems to be more popular. It has been mentiond 2 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.

dropincc.java mentions (0)

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

ANTLR mentions (2)

  • Bored CS student in my junior year. Give me something to do! (free plugins)
    I already posted here about a project, but I could also use help on Mantle. It's a new command framework powered by ANTLR, if that's something you're interested in. Source: over 2 years ago
  • Open Source SQL Parsers
    An alternate approach is to implement the SQL grammar using parser generators like ANTLR. There Are similar open source parser generators in other popular languages. - Source: dev.to / over 3 years ago

What are some alternatives?

When comparing dropincc.java and ANTLR, you can also consider the following products

parboiled - Elegant PEG parsing in Java - lightweight, easy-to-use, powerful.

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

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

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.

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

Owl parser generator - Efficient and understandable parser generator.

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