Software Alternatives, Accelerators & Startups

MATLAB VS Travis CI

Compare MATLAB VS Travis CI and see what are their differences

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MATLAB logo MATLAB

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

Travis CI logo Travis CI

Simple, flexible, trustworthy CI/CD tools. Join hundreds of thousands who define tests and deployments in minutes, then scale up simply with parallel or multi-environment builds using Travis CI’s precision syntax—all with the developer in mind.
  • MATLAB Landing page
    Landing page //
    2022-10-30

We recommend LibHunt MATLAB for discovery and comparisons of trending MATLAB projects.

  • Travis CI Travis CI for Simple, Flexible, Trustworthy CI/CD Tools
    Travis CI for Simple, Flexible, Trustworthy CI/CD Tools //
    2024-10-22

Founded in Berlin, Germany, in 2011, Travis CI grew quickly and became a trusted name in CI/CD, gaining popularity among software developers and engineers starting their careers. In 2019, Travis CI became part of Idera, Inc., the parent company of global B2B software productivity brands whose solutions enable technical users to work faster and do more with less.

Today, developers at 300,000 organizations use Travis CI. We often hear about the pangs of nostalgia these folks feel when they use Travis CI, as it was one of the first tools they used at the beginning of their career journey. We are still much here, supporting those who have stuck with us along the way and remaining the best next destination on your CI/CD journey, whether you’re building your first pipelines or trying to bring some thrill back into work that’s become overloaded with AI and DevSecOps complexity.

Our Mission:

We deliver the simplest and most flexible CI/CD tool to developers eager for ownership of their code quality, transparency in how they problem-solve with peers, and pride in the results they create—one LOC at a time.

Our Promise:

We aim for nothing less than to guide every developer to the next phase of their CI/CD adventure—even if that means growing beyond our platform.

Travis CI

$ Details
paid Free Trial $13.75 / Monthly (Per Month, Per User)
Release Date
2011 January

MATLAB features and specs

  • Versatility
    MATLAB is versatile and can be used across a wide range of applications, including engineering, data analysis, robotics, and image processing.
  • Built-in Functions
    MATLAB comes with a vast library of built-in functions and toolboxes that simplify complex mathematical computations and data visualization tasks.
  • User-Friendly Interface
    The software offers an intuitive and user-friendly graphical interface that makes it accessible even for those who are not experts in programming.
  • Excellent Visualization
    MATLAB provides high-quality, customizable plots and graphs that facilitate the clear and effective presentation of data.
  • Strong Community and Support
    Users can benefit from extensive documentation, community forums, and customer support from MathWorks, which aids in troubleshooting and learning.
  • Integration Capabilities
    MATLAB integrates well with other programming languages like C, C++, and Java, and supports interfaces to SQL databases.

Possible disadvantages of MATLAB

  • Cost
    MATLAB is expensive to license, making it less accessible for small businesses, individual professionals, and students without institutional access.
  • Memory Usage
    MATLAB can be very memory-intensive, which could be a limitation when dealing with large datasets or running on devices with limited computational resources.
  • Speed
    Although MATLAB is efficient for rapid prototyping, it is generally slower in execution speed compared to compiled languages like C or Fortran, particularly for heavy computations.
  • Proprietary Nature
    Being a proprietary software, MATLAB does not offer the same level of transparency and flexibility that open-source alternatives provide.
  • Learning Curve
    For some new users, especially those who have no prior experience with numerical computing environments, it might have a steep learning curve.
  • Limited Cross-Platform Compatibility
    While MATLAB supports multiple operating systems, not all features and toolboxes are available on each platform, potentially limiting its utility in diverse environments.

Travis CI features and specs

  • Ease of Use
    Travis CI offers a very user-friendly interface and straightforward setup process, making it accessible even for those new to CI/CD.
  • Integration with GitHub
    Seamlessly integrates with GitHub, allowing for automatic builds and tests triggered on pull requests and commits.
  • Wide Range of Language Support
    Supports numerous programming languages out of the box, providing built-in configurations for many common languages such as Python, Ruby, JavaScript, and Java.
  • Extensive Documentation
    Offers comprehensive and well-organized documentation, which can help users troubleshoot and understand complex setups.
  • Build Matrix
    Run your unit and integration tests across any combination of environments for comprehensive automation and absolute quality guarantees on your way to production.

Possible disadvantages of Travis CI

  • Pricing for Private Repositories
    Can become expensive for private repositories and larger teams, especially compared to some competitors that offer more generous free tiers.
  • Performance Issues
    Users have reported occasional performance issues, including slower build times and longer wait periods for queued jobs.
  • Limited Advanced Features
    Might lack some advanced features and customizations that are available in other CI/CD platforms, making it less suitable for very complex workflows.
  • Concurrency Limits
    Has limitations on the number of concurrent builds that can run, which can slow down development cycles for larger projects with many contributors.
  • Complex Configuration for Large Projects
    Configuration can become cumbersome and complex for large projects with intricate dependencies and multiple build steps.

Analysis of MATLAB

Overall verdict

  • Yes, MATLAB is considered a good tool by many professionals and academics, especially in fields that require numerical computation and data analysis.

Why this product is good

  • MATLAB offers a vast collection of built-in functions and toolboxes for various applications like signal processing, image processing, machine learning, and more.
  • The environment is user-friendly and has excellent documentation, making it easier for beginners to learn.
  • It provides robust support for matrix operations, which is beneficial for linear algebra tasks and scientific computations.
  • MATLAB integrates well with languages like C/C++, Python, and Java, allowing for flexible development options.

Recommended for

  • Engineers and scientists performing complex mathematical calculations and simulations.
  • Students and educators in academic settings who require a reliable tool for teaching and learning mathematical concepts.
  • Researchers and data analysts looking to rapidly prototype algorithms and visualize data.
  • Professionals dealing with industries like aerospace, automotive, communications, and finance where rigorous data analysis is required.

Analysis of Travis CI

Overall verdict

  • Travis CI is a widely used continuous integration service that is generally considered good for many development projects.

Why this product is good

  • Travis CI integrates seamlessly with GitHub, which allows for automated testing and deployment processes. It is simple to set up for open-source projects and supports multiple programming languages and operating systems. The platform's intuitive interface and extensive documentation make it accessible to both beginners and experienced developers.

Recommended for

  • Open-source projects
  • Teams looking for easy GitHub integration
  • Projects that require regular automated testing
  • Developers who value extensive community support
  • Projects with varying tech stacks, due to its multi-language support

MATLAB videos

Matlab Review Part 1

More videos:

  • Review - The Complete MATLAB Course: Beginner to Advanced!
  • Tutorial - Complete MATLAB Tutorial for Beginners

Travis CI videos

Setting Up Your First Build

More videos:

  • Tutorial - CI/CD Core Concepts
  • Tutorial - How to Get Started with Travis CI in 0 to 5 Minutes

Category Popularity

0-100% (relative to MATLAB and Travis CI)
Technical Computing
100 100%
0% 0
Continuous Integration
0 0%
100% 100
Numerical Computation
100 100%
0% 0
DevOps Tools
0 0%
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 MATLAB and Travis CI

MATLAB Reviews

25 Best Statistical Analysis Software
MATLAB is an exceptional choice for individuals seeking to perform advanced statistical analysis and data visualization. Its high-level programming environment and comprehensive range of tools enable users to efficiently process, analyze, and visualize their data.
7 Best MATLAB alternatives for Linux
MATLAB is a programming language and numeric computing environment. It is used for solving mathematical problems and displaying the result graphically. MATLAB is a paid tool, they provide a free trial for one month.
15 data science tools to consider using in 2021
Developed and sold by software vendor MathWorks since 1984, Matlab is a high-level programming language and analytics environment for numerical computing, mathematical modeling and data visualization. It's primarily used by conventional engineers and scientists to analyze data, design algorithms and develop embedded systems for wireless communications, industrial control,...
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: MathWorks MATLAB combines a desktop environment tuned for iterative analysis and design processes with a programming language that expresses matrix and array mathematics directly. It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook. MATLAB toolboxes are professionally developed, tested, and...
Matlab Alternatives
Matrix Laboratory also known as MATLAB is a high-level programming language. It provides an interactive environment to perform computations in various fields such as mathematics, sciences and engineering streams. The results can be visualized and generated as reports for further analysis. Matlab is the pioneer in combining these things. A team of professionals develop the...
Source: www.educba.com

Travis CI Reviews

The Best Alternatives to Jenkins for Developers
Travis CI is another popular cloud-based CI/CD solution that integrates well with GitHub. Known for its simplicity and ease of setup, Travis CI is a great choice for open-source projects or teams that primarily work with GitHub repositories. Its configuration is based on a YAML file, making it easy to define and manage build workflows.
Source: morninglif.com
Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Travis CI is known for its simple setup, quick parallel builds, and support for multiple architectures, including popular enterprise options like IBM PowerPC and IBM Z. It’s claimed that pipelines require approximately 33% less configurable code than other CI/CD solutions, which helps make the platform more approachable. Use it instead of Jenkins when you want a fast...
Source: spacelift.io
10 Jenkins Alternatives in 2021 for Developers
You might find that Travis CI proudly promotes the fact that they have more than 900,000 open-source projects and 600,000 users on their platform with Travis CI. Automated deployment can be quickly established by following the tutorials and documentation that are currently available on their website.
The Best Alternatives to Jenkins for Developers
Travis CI is a continuous integration and testing CI/CD tool. It is free of cost for open source projects and provides seamless integration with GitHub. It supports more than 20 languages, like Node.js, PHP, Python, etc. along with Docker.
Continuous Integration. CircleCI vs Travis CI vs Jenkins
Travis CI is recommended for cases when you are working on the open-source projects, that should be tested in different environments.
Source: djangostars.com

Social recommendations and mentions

Based on our record, Travis CI seems to be more popular. It has been mentiond 6 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.

MATLAB mentions (0)

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

Travis CI mentions (6)

  • Front-end Guide
    We used Travis CI for our continuous integration (CI) pipeline. Travis is a highly popular CI on Github and its build matrix feature is useful for repositories which contain multiple projects like Grab's. We configured Travis to do the following:. - Source: dev.to / over 2 years ago
  • Flutter
    CI/CD for autobuild + autotests (Codemagic or Travis CI). Source: over 2 years ago
  • How To Build Your First CI/CD Pipeline With Travis CI?
    Step 2: Log on to Travis CI and sign up with your GitHub account used above. - Source: dev.to / almost 3 years ago
  • What does a DevOps engineer actually do?
    Some other hosted CI products, such as CircleCI and Travis Cl, are completely hosted in the cloud. It is becoming more popular for small organizations to use hosted CI products, as they allow engineering teams to begin continuous integration as soon as possible. Source: almost 4 years ago
  • Hosting an Angular application on GitHub Pages using Travis CI
    1. Let's create the account. Access the site https://travis-ci.com/ and click on the button Sign up. - Source: dev.to / about 4 years ago
View more

What are some alternatives?

When comparing MATLAB and Travis CI, you can also consider the following products

Wolfram Mathematica - Mathematica has characterized the cutting edge in specialized processing—and gave the chief calculation environment to a large number of pioneers, instructors, understudies, and others around the globe.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

GNU Octave - GNU Octave is a programming language for scientific computing.

CircleCI - CircleCI gives web developers powerful Continuous Integration and Deployment with easy setup and maintenance.

Scilab - Scilab Official Website. Enter your search in the box aboveAbout ScilabScilab is free and open source software for numerical . Thanks for downloading Scilab!

Codeship - Codeship is a fast and secure hosted Continuous Delivery platform that scales with your needs.