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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Jenkins

    Score8.1 out of 10
    N/AJenkins is an open source automation server. Jenkins provides hundreds of plugins to support building, deploying and automating any project. As an extensible automation server, Jenkins can be used as a simple CI server or turned into a continuous delivery hub for any project.N/A

    Jupyter Notebook

    Score8.6 out of 10
    N/AJupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…N/A
    Pricing
    JenkinsJupyter Notebook
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    JenkinsJupyter Notebook
    Free Trial
    NoNo
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    JenkinsJupyter Notebook
    Considered Both Products
    Open Source
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    87%
    Would buy again
    26 Answers
    100%
    Would buy again
    23 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    27 Answers
    100%
    Delivers good value for the price
    23 Answers
    Happy with the feature set
    87%
    Happy with the feature set
    26 Answers
    96%
    Happy with the feature set
    22 Answers
    Lived up to sales and marketing promises
    93%
    Lived up to sales and marketing promises
    13 Answers
    100%
    Lived up to sales and marketing promises
    17 Answers
    Implementation went as expected
    96%
    Implementation went as expected
    22 Answers
    95%
    Implementation went as expected
    20 Answers
    Features
    JenkinsJupyter Notebook
    Platform Connectivity
    Comparison of Platform Connectivity features of Jenkins and Jupyter Notebook
    Feature
    Jenkins
    -
    Ratings
    Jupyter Notebook
    9.0
    22 Ratings
    7% above category average
    Connect to Multiple Data Sources00 Ratings10.022 Ratings
    Extend Existing Data Sources00 Ratings10.021 Ratings
    Automatic Data Format Detection00 Ratings8.514 Ratings
    MDM Integration00 Ratings7.415 Ratings
    Data Exploration
    Comparison of Data Exploration features of Jenkins and Jupyter Notebook
    Feature
    Jenkins
    -
    Ratings
    Jupyter Notebook
    7.0
    22 Ratings
    18% below category average
    Visualization00 Ratings6.022 Ratings
    Interactive Data Analysis00 Ratings8.022 Ratings
    Data Preparation
    Comparison of Data Preparation features of Jenkins and Jupyter Notebook
    Feature
    Jenkins
    -
    Ratings
    Jupyter Notebook
    9.5
    22 Ratings
    15% above category average
    Interactive Data Cleaning and Enrichment00 Ratings10.021 Ratings
    Data Transformations00 Ratings10.022 Ratings
    Data Encryption00 Ratings8.514 Ratings
    Built-in Processors00 Ratings9.314 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Jenkins and Jupyter Notebook
    Feature
    Jenkins
    -
    Ratings
    Jupyter Notebook
    9.3
    22 Ratings
    10% above category average
    Multiple Model Development Languages and Tools00 Ratings10.021 Ratings
    Automated Machine Learning00 Ratings9.218 Ratings
    Single platform for multiple model development00 Ratings10.022 Ratings
    Self-Service Model Delivery00 Ratings8.020 Ratings
    Model Deployment
    Comparison of Model Deployment features of Jenkins and Jupyter Notebook
    Feature
    Jenkins
    -
    Ratings
    Jupyter Notebook
    10.0
    20 Ratings
    15% above category average
    Flexible Model Publishing Options00 Ratings10.020 Ratings
    Security, Governance, and Cost Controls00 Ratings10.019 Ratings
    Best Alternatives
    JenkinsJupyter Notebook
    Small Businesses
    Apache Maven
    Score9.1 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    Apache Maven
    Score9.1 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    Gradle Build Tool (Open Source)
    Score9 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    JenkinsJupyter Notebook
    Likelihood to Recommend
    6.8
    (74 ratings)
    10.0
    (23 ratings)
    Usability
    6.4
    (8 ratings)
    10.0
    (2 ratings)
    Performance
    8.9
    (6 ratings)
    -
    (0 ratings)
    Support Rating
    6.6
    (6 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    6.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    JenkinsJupyter Notebook
    Likelihood to Recommend
    Open Source
    Jenkins is a highly customizable CI/CD tool with excellent community support. One can use Jenkins to build and deploy monolith services to microservices with ease. It can handle multiple "builds" per agent simultaneously, but the process can be resource hungry, and you need some impressive specs server for that. With Jenkins, you can automate almost any task. Also, as it is an open source, we can save a load of money by not spending on enterprise CI/CD tools.
    Incentivized
    Read full review
    Open Source
    I've created a number of daisy chain notebooks for different workflows, and every time, I create my workflows with other users in mind. Jupiter Notebook makes it very easy for me to outline my thought process in as granular a way as I want without using innumerable small. inline comments.
    Incentivized
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    Pros
    Open Source
    • Automated Builds: Jenkins is configured to monitor the version control system for new pull requests. Once a pull request is created, Jenkins automatically triggers a build process. It checks out the code, compiles it, and performs any necessary build steps specified in the configuration.
    • Unit Testing: Jenkins runs the suite of unit tests defined for the project. These tests verify the functionality of individual components and catch any regressions or errors. If any unit tests fail, Jenkins marks the build as unsuccessful, and the developer is notified to fix the issues.
    • Code Analysis: Jenkins integrates with code analysis tools like SonarQube or Checkstyle. It analyzes the code for quality, adherence to coding standards, and potential bugs or vulnerabilities. The results are reported back to the developer and the product review team for further inspection.
    Incentivized
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    Open Source
    • Simple and elegant code writing ability. Easier to understand the code that way.
    • The ability to see the output after each step.
    • The ability to use ton of library functions in Python.
    • Easy-user friendly interface.
    Incentivized
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    Cons
    Open Source
    • The UI could be slightly better, it feels kind of like the 90s, but it works well.
    • An easier way to filter jobs other than views on the dashboard.
    • An easier way to read the console logs when tests do fail.
    Incentivized
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    Open Source
    • Need more Hotkeys for creating a beautiful notebook. Sometimes we need to download other plugins which messes [with] its default settings.
    • Not as powerful as IDE, which sometimes makes [the] job difficult and allows duplicate code as it get confusing when the number of lines increases. Need a feature where [an] error comes if duplicate code is found or [if a] developer tries the same function name.
    Incentivized
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    Likelihood to Renew
    Open Source
    We have a certain buy-in as we have made a lot of integrations and useful tools around jenkins, so it would cost us quite some time to change to another tool. Besides that, it is very versatile, and once you have things set up, it feels unnecessary to change tool. It is also a plus that it is open source.
    Incentivized
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    Open Source
    No answers on this topic
    Usability
    Open Source
    Jenkins streamlines development and provides end to end automated integration and deployment. It even supports Docker and Kubernetes using which container instances can be managed effectively. It is easy to add documentation and apply role based access to files and services using Jenkins giving full control to the users. Any deviation can be easily tracked using the audit logs.
    Incentivized
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    Open Source
    Jupyter is highly simplistic. It took me about 5 mins to install and create my first "hello world" without having to look for help. The UI has minimalist options and is quite intuitive for anyone to become a pro in no time. The lightweight nature makes it even more likeable.
    Incentivized
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    Performance
    Open Source
    No, when we integrated this with GitHub, it becomes more easy and smart to manage and control our workforce. Our distributed workforce is now streamlined to a single bucket. All of our codes and production outputs are now automatically synced with all the workers. There are many cases when our in-house team makes changes in the release, our remote workers make another release with other environment variables. So it is better to get all of the work in control.
    Incentivized
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    Open Source
    No answers on this topic
    Support Rating
    Open Source
    As with all open source solutions, the support can be minimal and the information that you can find online can at times be misleading. Support may be one of the only real downsides to the overall software package. The user community can be helpful and is needed as the product is not the most user-friendly thing we have used.
    Incentivized
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    Open Source
    I haven't had a need to contact support. However, all required help is out there in public forums.
    Incentivized
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    Implementation Rating
    Open Source
    It is worth well the time to setup Jenkins in a docker container. It is also well worth to take the time to move any "Jenkins configuration" into Jenkinsfiles and not take shortcuts.
    Incentivized
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    Open Source
    No answers on this topic
    Alternatives Considered
    Open Source
    Overall, Jenkins is the easiest platform for someone who has no experience to come in and use effectively. We can get a junior engineer into Jenkins, give them access, and point them in the right direction with minimal hand-holding. The competing products I have used (TravisCI/GitLab/Azure) provide other options but can obfuscate the process due to the lack of straightforward simplicity. In other areas (capability, power, customization), Jenkins keeps up with the competition and, in some areas, like customization, exceeds others.
    Incentivized
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    Open Source
    With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better business decisions and save cost to the company. It stacks up better as we know Python is more widely used than R in the industry and can be learnt easily. Unlike PyCharm jupyter notebooks can be used to make documentations and exported in a variety of formats.
    Incentivized
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    Return on Investment
    Open Source
    • Faster Time-to-Market: Jenkins automate the build, testing, and deployment process, enabling faster feedback and continuous improvement.
    • Improved Quality: Jenkins automatically run unit tests and integration tests, ensuring that code changes meet the necessary quality standards.
    • Cost Savings: Jenkins is an open-source tool that is free to use
    Incentivized
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    Open Source
    • Positive impact: flexible implementation on any OS, for many common software languages
    • Positive impact: straightforward duplication for adaptation of workflows for other projects
    • Negative impact: sometimes encourages pigeonholing of data science work into notebooks versus extending code capability into software integration
    Incentivized
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    ScreenShots