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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Spyder

    Score9.1 out of 10
    N/ASpyder is a free and open source scientific environment for Python. It combines advanced editing, analysis, debugging, and profiling, with data exploration, interactive execution, deep inspection, and visualization capabilities. Spyder is sponsored by open source supporters QuanSight, and NumFOCUS, as well as individual donors.

    $0

    per month

    TestComplete

    Score8 out of 10
    N/ATestComplete is a GUI test automation tool that enables users of all skill levels to test the UI of every desktop, web, and mobile application. TestComplete is best suited for testers, automation engineers, and QA teams in any industry.

    $2,256

    per license

    Pricing
    SpyderTestComplete
    Editions & Modules
    No answers on this topic
    Node-Locked Base
    2,256
    per license
    Node-Locked Pro
    3,950
    per license
    Float - Base
    5,077
    per license
    Float - Pro
    7,901
    per license
    Offerings
    Pricing Offerings
    SpyderTestComplete
    Free Trial
    NoYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Pay for only the modules needed. TestComplete Pro includes all three modules: desktop, web, and mobile, at a bundled price point, as well as access to the parallel testing engine, TestExecute. TestComplete has additional add-ons, including TestExecute and the Intelligent Quality Add-On.
    More Pricing Information
    Community Pulse
    SpyderTestComplete
    Considered Both Products
    Open Source
    No answer on this topic
    SmartBear
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    8 Answers
    93%
    Would buy again
    25 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    8 Answers
    88%
    Delivers good value for the price
    22 Answers
    Happy with the feature set
    88%
    Happy with the feature set
    7 Answers
    93%
    Happy with the feature set
    25 Answers
    Lived up to sales and marketing promises
    86%
    Lived up to sales and marketing promises
    6 Answers
    85%
    Lived up to sales and marketing promises
    22 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    8 Answers
    85%
    Implementation went as expected
    22 Answers
    Best Alternatives
    SpyderTestComplete
    Small Businesses
    Visual Studio
    Score8.8 out of 10
    No answers on this topic
    Medium-sized Companies
    PyCharm
    Score9.3 out of 10
    OpenText UFT One
    Score8 out of 10
    Enterprises
    WebStorm
    Score9.6 out of 10
    SoapUI Open Source
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    SpyderTestComplete
    Likelihood to Recommend
    8.7
    (8 ratings)
    7.0
    (88 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    8.1
    (6 ratings)
    Usability
    8.0
    (2 ratings)
    7.8
    (7 ratings)
    Support Rating
    8.0
    (2 ratings)
    6.6
    (7 ratings)
    Implementation Rating
    -
    (0 ratings)
    6.7
    (4 ratings)
    User Testimonials
    SpyderTestComplete
    Likelihood to Recommend
    Open Source
    Spyder is an open-source Python IDE designed for the movement of data science work. Spyder comes with an Anaconda package manager distribution, so depending on your setup you may have installed it on your machine.
    Spyder includes most of the "standard IDE" features you can expect, such as a strong syntax code editor, Python code rendering, and an integrated text browser.
    Spyder is used when we want to develop a code that is useful and able to explore proper documentation of the code that has been written. We use Spyder to perform data-related operations like filtration, cleaning, and enhancing the data qualities. There some cases where it is less appropriate like working in an environment, creating dashboards of data visualizations and plots.
    Read full review
    SmartBear
    Best suited to smaller unit test or tests broken up, couple of forms at a time Not suited - larger regressions test involving multiple systems. - my main regression involving payments has been unsuccessful for the last 3 years despite all working fine separately and while being watched
    Read full review
    Pros
    Open Source
    • Provides wider screen to read and write code and flexibility to adjust size as per requirement.
    • While running the code it provide the variable overview and memory overview
    • Lightweight and easily available in Anaconda Navigator
    • Multiple compilation options are available
    • Works well for data analytics, Django, Flask and Fast API frameworks
    Incentivized
    Read full review
    SmartBear
    • Identifying UI objects and application structure
    • Expandability of tests through scripts and script extensions/plugins
    • low barrier of entry (you can get started quickly, and other's don't need much explanation to contribute on a basic level)
    • Possibility of Jira integration for reporting
    • Relatively few (and usually easy to solve) git conflicts when working simultaneously
    • easy handling of test data, also for iterative tests
    Incentivized
    Read full review
    Cons
    Open Source
    • Colors in code format
    • Add a broadcast to share the project with friends
    • Contains more than one important language such as Python
    Read full review
    SmartBear
    • TestComplete could stand to have a simplified view for different types of users. For instance, as a manager/architecture guy, I'm not so interested in getting into the code and am more interested in file-based interactions.
    • TestComplete could use more integration with reporting for things like TeamCity to improve test status visibility.
    Incentivized
    Read full review
    Likelihood to Renew
    Open Source
    No answers on this topic
    SmartBear
    We have bigger test automation pack using test complete at the same time we also think this is not good performing tool for large number of test automation scripts.
    Incentivized
    Read full review
    Usability
    Open Source
    It is fairly straightforward to use. Pretty much good to go as soon as you install it. The IDE itself is very user friendly, and it is only limited by whatever limitations Python has as a language. Great for those who want to run their scripts quickly or do some Python programming without fussing.
    Incentivized
    Read full review
    SmartBear
    It is usable when you become accustomed to its quirks. Not using it for two months and then you need to re-learn the quirks for some features (but some quirks are so awful that they will never fade from your memory). So, when using it regularly, it is possible to be quite productive, if no big correction in name mapping is needed.
    Incentivized
    Read full review
    Support Rating
    Open Source
    Most of data scientists or data engineers are either using ec2 on the cloud or Atom or PyCharm locally. It is a bit hard to find people who are still using Spyder and have the sight of the IDE and can help you to answer your question.
    Incentivized
    Read full review
    SmartBear
    Some bugs were quickly resolved, but most UX quirks of the tool are just marked "as designed". No follow up for enhancement request.
    Incentivized
    Read full review
    Implementation Rating
    Open Source
    No answers on this topic
    SmartBear
    If you develop a mobile application and your testing process goes in cloud, probably you will face a problem - how to implement a stable connection between your mobile devices and testing servers
    Incentivized
    Read full review
    Alternatives Considered
    Open Source
    I think Spyder doesn't stack up as well as other IDEs due to its many limitations. But it is available for free and that is one advantage it has over its competitors
    Incentivized
    Read full review
    SmartBear
    TestComplete stacks up against them in terms of GUI and seamless performance. It records each and every step and action been performed in the application and produces a detailed report in a well-structured manner. It can connect and access seamlessly among various databases directly to speed up the testing process.
    Incentivized
    Read full review
    Return on Investment
    Open Source
    • It has helped me learn python quickly
    • The ability to generate figures quickly and interact with them is helpful
    Incentivized
    Read full review
    SmartBear
    • Saves hundreds of man-hours with either QA testing or data entry
    • With the small cost of the product, it has saved the company money with both employee costs as well as the cost of mistakes made by human error or software bugs
    Incentivized
    Read full review
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