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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    NetBeans

    Score7 out of 10
    N/ANetBeans is a free and open source platform and integrated development environment (IDE).N/A

    Pytorch

    Score9.4 out of 10
    N/APytorch is an open source machine learning (ML) framework boasting a rich ecosystem of tools and libraries that extend PyTorch and support development in computer vision, NLP and or that supports other ML goals.N/A
    Pricing
    NetBeansPytorch
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    NetBeansPytorch
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    NetBeansPytorch
    Considered Both Products
    Open Source
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    7 Answers
    100%
    Would buy again
    6 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    100%
    Delivers good value for the price
    6 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    7 Answers
    100%
    Happy with the feature set
    6 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    5 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    7 Answers
    100%
    Implementation went as expected
    5 Answers
    Best Alternatives
    NetBeansPytorch
    Small Businesses
    Visual Studio
    Score8.8 out of 10
    TensorFlow
    Score7.6 out of 10
    Medium-sized Companies
    PyCharm
    Score9.3 out of 10
    Google Cloud AI
    Score8.7 out of 10
    Enterprises
    WebStorm
    Score9.6 out of 10
    Google Cloud AI
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    NetBeansPytorch
    Likelihood to Recommend
    7.8
    (22 ratings)
    9.0
    (6 ratings)
    Usability
    9.0
    (2 ratings)
    10.0
    (1 ratings)
    Support Rating
    8.5
    (4 ratings)
    -
    (0 ratings)
    User Testimonials
    NetBeansPytorch
    Likelihood to Recommend
    Open Source
    NetBeans is extremely user friendly and easy to start developing complex applications. Adding and configuring external libraries is much simpler than in Eclipse. It is highly cost effective and most of the latest framework based libraries required are automatically downloaded to the projects. The overall tool is also light weight and consumes less memory as compared to other competitor tools.
    Incentivized
    Read full review
    Open Source
    They have created Pytorch Lightening on top of Pytorch to make the life of Data Scientists easy so that they can use complex models they need with just a few lines of code, so it's becoming popular. As compared to TensorFlow(Keras), where we can create custom neural networks by just adding layers, it's slightly complicated in Pytorch.
    Incentivized
    Read full review
    Pros
    Open Source
    • Debugging - Save time hunting down errors by stepping through the code to find the root of a problem.
    • Refactoring - Easily rename classes and variables or make other structural changes using built-in refactoring tools.
    • Service management - NetBeans integrates seamlessly with web application servers like Tomcat and GlassFish.
    • Source control - Works well with Git and other version control tools.
    Read full review
    Open Source
    • flexibility
    • Clean code, close to the algorithm.
    • Fast
    • Handles GPUs, multiple GPUs on a single machine, CPUs, and Mac.
    • Versatile, can work efficiently on text/audio/image/tabular datasets.
    Incentivized
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    Cons
    Open Source
    • NetBeans [should] work smoothly with systems having less RAM. Systems with less RAM face trouble with NetBeans.
    • File open history also requires improvement. Once NetBeans is restarted, all files are closed automatically and there is no shortcut to open last opened files.
    Incentivized
    Read full review
    Open Source
    • Since pythonic if developing an app with pytorch as backend the response can be substantially slow and support is less compares to Tensorflow
    Incentivized
    Read full review
    Usability
    Open Source
    Netbeans enhances my coding work, shows me where I have errors and helps find variable instances. I would be lost without find/replace in projects functionality as I use projects as templates for new projects. Occasionally the code hints aggravate me, but I understand that it is actually making me a better coder, working to get the 'green light' of a clean file with no errors or clumsy code.
    Incentivized
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    Open Source
    The big advantage of PyTorch is how close it is to the algorithm. Oftentimes, it is easier to read Pytorch code than a given paper directly. I particularly like the object-oriented approach in model definition; it makes things very clean and easy to teach to software engineers.
    Incentivized
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    Support Rating
    Open Source
    NetBeans has a very strong user community. We can find solutions here for almost all the problems we face. In addition, we can forward NetBeans Support teams the problems we cannot solve. We can get quick feedback from the support teams, but I generally try to solve my problems by following the forums.
    Incentivized
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    Open Source
    No answers on this topic
    Alternatives Considered
    Open Source
    It works very smoothly as compared to other tools . The problem of restarting and reimporting the projects is not in the netbeans IDE . The front end development features are good . Netbeans connector is one of the best thing which enables us to deeply integrate netbeans IDE with google chrome browser
    Incentivized
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    Open Source
    Pytorch is very, very simple compared to TensorFlow. Simple to install, less dependency issues, and very small learning curve. TensorFlow is very much optimised for robust deployment but very complicated to train simple models and play around with the loss functions. It needs a lot of juggling around with the documentation. The research community also prefers PyTorch, so it becomes easy to find solutions to most of the problems. Keras is very simple and good for learning ML / DL. But when going deep into research or building some product that requires a lot of tweaks and experimentation, Keras is not suitable for that. May be good for proving some hypotheses but not good for rigorous experimentation with complex models.
    Incentivized
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    Return on Investment
    Open Source
    • By working on Netbeans I just learned one more tool and can teach others about it. One should learn every tool so that it might help someday if another editor is not available and you have to use different software for your work.
    • Compiling code became easy as it is not a feature of normal text editors. Only IDE can do this.
    Incentivized
    Read full review
    Open Source
    • The ability to make models as never before
    • Being able to control the bias of models was not done before the arrival of Pytorch in our company
    Incentivized
    Read full review
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