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Jenkins VS NumPy

Compare Jenkins VS NumPy and see what are their differences

LibHunt
LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Jenkins logo Jenkins

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

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python
  • Jenkins Landing page
    Landing page //
    2023-04-15
  • NumPy Landing page
    Landing page //
    2023-05-13

Jenkins videos

+ Add

Mick Jenkins - The Circus Album Review | DEHH

More videos:

  • Review - Mick Jenkins - The Water[s] ALBUM REVIEW
  • Review - Mick Jenkins - THE WATERS First REACTION/REVIEW

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Category Popularity

0-100% (relative to Jenkins and NumPy)

Jenkins

NumPy

DevOps Tools
100 100%
DevOps Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Continuous Integration
100 100%
Continuous Integration
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Jenkins and NumPy. For example, how are they different and which one is better?
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Reviews

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

Jenkins Reviews

The Best Alternatives to Jenkins for Developers
Jenkins X, a new kind of Jenkins made for cloud environments and modern development practices, tries to make setting up and handling CI/CD pipelines easier. It uses Kubernetes along with GitOps ideas in order to offer teams working on cloud-native apps an automated way that is less complex when it comes to managing their project’s lifecycle.
Source: morninglif.com
Top 5 Jenkins Alternatives in 2024: Automation of IT Infrastructure Written by Uzair Ghalib on the 02nd Jan 2024
If you have searched about Jenkins alternatives and you are reading this article, then there must be one of the three reasons you are here. You are already using Jenkins and are fed up with facing different issues and looking for a change. Or maybe you haven’t faced any issues yet but have heard the stories about Jenkins issues and looking to avoid them by choosing an...
Source: attuneops.io
What Are The Best Alternatives To Ansible? | Attune, Jenkins &, etc.
Jenkin is a popular tool for performing continuous integration of software projects in the market. Plus, it continues the delivery of projects regardless of the platform you’re working on. And it is also responsible for handling any build or continuous integration with various testing and development technologies. As a product, Jenkins is more developer-centric and...
Source: www.apzomedia.com
Best 8 Ansible Alternatives & equivalent in 2022
Jenkins is an open-source continuous integration tool. It is written using the Java programming language. It facilitates real-time testing and reporting on isolated changes in a larger code base. This software similar to Ansible helps developers to quickly find and solve defects in their code base & automate testing of their builds.
Source: www.guru99.com
Top 10 Most Popular Jenkins Alternatives for DevOps in 2024
Jenkins may be a de-facto tool for CI/CD, but it’s no longer a shiny newcomer borne directly out of modern DevOps best practices. Although Jenkins is still relevant, newer tools can offer improved ergonomics and expanded functionality. These can be better suited to contemporary software delivery methods.
Source: spacelift.io

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Social recommendations and mentions

Based on our record, NumPy seems to be a lot more popular than Jenkins. While we know about 111 links to NumPy, we've tracked only 6 mentions of Jenkins. 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.

Jenkins mentions (6)

View more

NumPy mentions (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / about 5 hours ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 7 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
View more

What are some alternatives?

When comparing Jenkins and NumPy, you can also consider the following products

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

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

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

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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

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

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