Software Alternatives, Accelerators & Startups

grappa VS Maxima

Compare grappa VS Maxima and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

grappa logo grappa

grappa is an declarative, verbose, and expressive assertion library for Python.

Maxima logo Maxima

Maxima is a fairly complete computer algebra system written in Lisp with an emphasis on symbolic computation.
  • grappa Landing page
    Landing page //
    2022-11-06
  • Maxima Landing page
    Landing page //
    2022-06-15

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.

Maxima features and specs

  • Open-source
    Maxima is freely available and open-source, allowing users to access, modify, and distribute the software without any cost.
  • Symbolic Computation
    Maxima specializes in symbolic computation, providing robust tools for algebraic manipulations, differentiation, integration, and equation solving.
  • Customizability
    As an open-source software, Maxima is highly customizable, and users can modify the source code or write their own functions to extend its capabilities.
  • Documentation
    Maxima comes with extensive documentation, including a comprehensive manual and numerous tutorials, which can aid both beginners and advanced users.
  • Integration with Other Tools
    Maxima can be integrated with other software tools and languages such as Python (via SymPy), providing flexibility and additional functionality for complex computations.

Possible disadvantages of Maxima

  • User Interface
    The default user interface of Maxima is less polished compared to commercial alternatives, which may affect the user experience, especially for beginners.
  • Performance
    While suitable for many tasks, Maxima may not perform as efficiently as some specialized commercial software for very large or complex computations.
  • Learning Curve
    Due to its depth and the nature of symbolic computation, there can be a steep learning curve for new users who are not already familiar with similar tools or mathematical concepts.
  • Community Support
    As an open-source project, support primarily comes from the user community, which may not always be as responsive or comprehensive as professional, paid support services.
  • Updates and Maintenance
    Maxima updates and maintenance depend on community contributions, which can sometimes lead to less frequent updates or delayed fixes for bugs compared to commercial software.

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

grappa videos

No grappa videos yet. You could help us improve this page by suggesting one.

Add video

Maxima videos

2019 Nissan Maxima SR โ€“ The 4-Door Sports Car?

More videos:

  • Review - 2019 Nissan Maxima SR Review // A $40,000 Performance Sedan
  • Review - 2019 Nissan Maxima | CarGurus Test Drive Review
  • Demo - Maxima video

Category Popularity

0-100% (relative to grappa and Maxima)
Testing
100 100%
0% 0
Technical Computing
0 0%
100% 100
Python
100 100%
0% 0
Numerical Computation
0 0%
100% 100

User comments

Share your experience with using grappa and Maxima. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare grappa and Maxima

grappa Reviews

We have no reviews of grappa yet.
Be the first one to post

Maxima Reviews

  1. Stable (slow but steady growth)

    I've been using Maxima since my undergraduate (over 10 years), now with Ubuntu20.04 lts, I become a newbie of SageMath. For a small project (both symbolical and numerical), in particular, student lab activities, Maxima has been a powerful tool for analyzing and visualizing data. (The Android version is also fantastic, but the poor keyboard.)

    Mathematica is always enemy/friend. (My coworkers are all Mathematica speakers.)

    ๐Ÿ Competitors: Wolfram Mathematica
    ๐Ÿ‘ Pros:    Easy for cli user|Lithghter
    ๐Ÿ‘Ž Cons:    Good for advanced users of computers (cli is sometimes hard for newbie)|Hard to find official references, tutors, etc

7 Best MATLAB alternatives for Linux
Another alternative to MATLAB is Maxima which is a computer algebra system (CAS) for manipulation of symbolic and numerical expressions including differentiation, integration, Laplace transformation, linear algebraic equations, tensors, etc.
Matlab Alternatives
Another alternative of Matlab is Maxima which was inspired by the legendary Algebra system Macsyma. It is a system used for manipulating numerical expressions such as Taylor series, Laplace transformations, Vectors, Tensors, and Matrices. Very accurate results are provided by using exact floating numbers, fractional values, and integers. The Source Forge file manager...
Source: www.educba.com
10 Best MATLAB Alternatives [For Beginners and Professionals]
Maxima is extracted from Macsyma, a computer algebra system developed in the late 1960s by MIT. Maxima is frequently updated to fix bugs for a more optimized coding experience
4 open source alternatives to MATLAB
Check out Maxima, it is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, sets, lists, vectors, matrices and tensors.
Source: opensource.com
3 Open Source Alternatives to MATLAB
Maxima, another frequently updated alternative to MATLAB. It's based on Macsyma, a "legendary computer algebra system" developed at MIT in the 1960s, can be compiled on Linux, Mac OS X, and Windows, and is available under GPLv2.

Social recommendations and mentions

Based on our record, Maxima seems to be more popular. It has been mentiond 27 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.

grappa mentions (0)

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

Maxima mentions (27)

  • Integral Calculator
    I think the really neat piece of software behind this is maxima (https://maxima.sourceforge.io/), a rather influential computer algebra system of ancient lineage still in use today in more place than you might think. - Source: Hacker News / over 2 years ago
  • Rye: Homoiconic dynamic programming language with some new ideas
    In the maxima computer algebra system[1] which was ancestrally based on lisp it has a single quote operator[2] which delays evaluation of something and a "double quote" (which acually two single quotes rather than an actual double quote) operator[3] which asks maxima to evaluate some expression immediately rather than leaving it in symbolic form.[4] [1] https://maxima.sourceforge.io/ [2]... - Source: Hacker News / over 2 years ago
  • True or False
    Use wxmaxima, a free and open-source computer algebra system:. Source: over 2 years ago
  • C++ library for solving EQUATIONS
    There are several options, here is one of them: https://maxima.sourceforge.io. Source: about 3 years ago
  • Do you know computer algebra software capable of managing systems of multiple equations with multiple unknowns and multiple variables?
    You may use maxima cas (https://maxima.sourceforge.io/) to solve symbolic complex problems. Source: over 3 years ago
View more

What are some alternatives?

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

assertpy - A straightforward assertion library for Python.

MATLAB - A high-level language and interactive environment for numerical computation, visualization, and programming