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MicMac VS grappa

Compare MicMac VS grappa and see what are their differences

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MicMac logo MicMac

Open source Photogrammetric suite compatible with close range, aerial and satellite data.

grappa logo grappa

grappa is an declarative, verbose, and expressive assertion library for Python.
  • MicMac Landing page
    Landing page //
    2019-08-09
  • grappa Landing page
    Landing page //
    2022-11-06

MicMac features and specs

  • High Accuracy
    MicMac is known for providing highly accurate photogrammetric results, making it suitable for applications requiring precise measurements.
  • Open Source
    The software is open-source, allowing users to access, modify, and distribute the source code, which fosters a collaborative and transparent development environment.
  • Extensive Documentation
    MicMac offers comprehensive documentation and community support, which aids users in effectively utilizing the software and troubleshooting issues.
  • Flexibility
    The software provides various tools and modules that can be customized to fit different photogrammetric workflows and requirements.
  • Scalability
    MicMac can handle large datasets, making it suitable for both small and large-scale photogrammetric projects.

Possible disadvantages of MicMac

  • Steep Learning Curve
    Due to its advanced capabilities and extensive feature set, new users may find it challenging to learn and master the software quickly.
  • Resource Intensive
    MicMac requires significant computational resources, which could be a limitation for users with less powerful hardware.
  • Complex Installation
    The installation process can be complicated, particularly for users who are not familiar with compiling software from source or managing dependencies.
  • Limited User Interface
    The software primarily relies on command-line inputs, which may not be as user-friendly as graphical user interfaces found in some other photogrammetric tools.
  • Maintenance and Updates
    As an open-source project, the frequency and consistency of updates and maintenance can vary, potentially leading to slower resolutions for bugs and issues.

grappa features and specs

  • Expressive Assertions
    Grappa provides a rich set of expressive assertions which allow for writing readable and concise test cases.
  • Chainable Syntax
    The library supports a chainable syntax that can improve the readability and maintainability of test assertions.
  • Integration
    Grappa can be integrated with multiple testing frameworks, such as Pytest, which can make it easier to incorporate into existing test suites.
  • Extensibility
    The framework supports custom matchers, allowing developers to extend the library's functionality tailored to their specific needs.

Possible disadvantages of grappa

  • Learning Curve
    For developers new to the library, there may be a learning curve associated with understanding the syntax and capabilities of Grappa.
  • Documentation
    Depending on the state of the project, the documentation may not be comprehensive, potentially making it challenging for new users to learn.
  • Community Support
    As a niche library, Grappa might not have as large a community or support as some more widely used testing frameworks.
  • Maintenance
    Open-source projects can sometimes experience slower development and updates, which could impact long-term usability if the project becomes less actively maintained.

Analysis of grappa

Overall verdict

  • Grappa is a solid, mature parsing library for the JVM that lets developers build parsers directly in Java using a fluent, PEG-based (Parsing Expression Grammar) approach without needing a separate grammar file or code generation step.

Why this product is good

  • Uses Parsing Expression Grammars (PEG), which are unambiguous and easier to reason about than traditional context-free grammars
  • Grammars are written in pure Java as a fluent DSL, so there's no external grammar file or code-generation build step
  • Integrates naturally into existing Java/JVM projects and tooling
  • Supports parser actions, error recovery, and value stack manipulation for building ASTs
  • Successor to the popular Parboiled library, benefiting from lessons learned in that project
  • Open source and hostable/inspectable directly on GitHub

Recommended for

  • Java and JVM developers who want to build parsers without learning a separate grammar language
  • Projects needing custom domain-specific languages (DSLs) or configuration formats
  • Developers who prefer PEG semantics over ambiguous CFG-based tools like ANTLR
  • Teams that want parser logic kept inline in their codebase rather than generated
  • Prototyping and small-to-medium parsing tasks where fluent Java code is convenient

MicMac videos

Basic steps : how to use MicMac with Windows [English subtitle]

grappa videos

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Category Popularity

0-100% (relative to MicMac and grappa)
3D
100 100%
0% 0
Testing
0 0%
100% 100
Architecture
100 100%
0% 0
Python
0 0%
100% 100

User comments

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What are some alternatives?

When comparing MicMac and grappa, you can also consider the following products

Regard3D - Regard3D is a free, multiplatform, open-source structure-from-motion application.

assertpy - A straightforward assertion library for Python.

RealityCapture - RealityCapture is a software solution which automatically produces high resolution 3D models from photographs or laser-scans.

ContextCapture - Acute3D develops breakthrough photogrammetry software solutions to automatically turn photos into photorealistic high resolution 3D models

3DF Zephyr - Next up in my series of Photogrammetry Software Reviews โ€” after ReMake, PhotoScan & RealityCapture โ€” is 3DF Zephyr (including the Free version).

Pix4Dmapper - Photogrammetry software for professional drone-based mapping, purely from images.