Software Alternatives, Accelerators & Startups

Travis CI VS Scikit-learn

Compare Travis CI VS Scikit-learn and see what are their differences

Travis CI logo Travis CI

Focus on writing code. Let Travis CI take care of running your tests and deploying your apps.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Travis CI Landing page
    Landing page //
    2023-01-06
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Travis CI videos

GitHub, Travis CI - Lecture 9 - CS50's Web Programming with Python and JavaScript 2018

More videos:

  • Tutorial - How to run Android tests on Travis CI

Scikit-learn videos

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

0-100% (relative to Travis CI and Scikit-learn)
Continuous Integration
100 100%
0% 0
Data Science And Machine Learning
DevOps Tools
100 100%
0% 0
Data Science 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 Travis CI and Scikit-learn

Travis CI Reviews

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

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...

Social recommendations and mentions

Based on our record, Scikit-learn should be more popular than Travis CI. It has been mentiond 28 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.

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 1 year ago
  • Flutter
    CI/CD for autobuild + autotests (Codemagic or Travis CI). Source: over 1 year 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 2 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 3 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 / almost 3 years ago
View more

Scikit-learn mentions (28)

  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / 3 months ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / 12 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year ago
View more

What are some alternatives?

When comparing Travis CI and Scikit-learn, you can also consider the following products

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

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

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

OpenCV - OpenCV is the world's biggest computer vision library

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

NumPy - NumPy is the fundamental package for scientific computing with Python