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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Spyder

    Score9 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

    Vim

    Score9.8 out of 10
    N/AVim (Vi IMproved) is a highly configurable, free to download and use, Modal Text Editor derived from the classic Unix vi editor. It is designed for terminal-based and graphical text manipulation, prioritizing keyboard-centric efficiency and high-fidelity control over source code and configuration files.

    $0

    Pricing
    SpyderVim
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    SpyderVim
    Free Trial
    NoNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Vim is available as a free download.
    More Pricing Information
    Best Alternatives
    SpyderVim
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    Visual Studio
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    PyCharm
    Score9.3 out of 10
    Notepad++
    Score9.2 out of 10
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    WebStorm
    Score9.6 out of 10
    Sublime Text
    Score8.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    SpyderVim
    Likelihood to Recommend
    8.7
    (8 ratings)
    10.0
    (9 ratings)
    Usability
    8.0
    (2 ratings)
    8.0
    (1 ratings)
    Support Rating
    8.0
    (2 ratings)
    6.0
    (5 ratings)
    User Testimonials
    SpyderVim
    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.
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    Open Source
    I would recommend Vim in any scenario where text files have to be viewed, created, or edited on GNU/Linux computers. Regardless if you need to quickly change a few things in a configuration file, or you need to write up a full document, Vim is great. I wouldn't use Vim to view, edit, or create anything that requires "rich-text". In other words, if you need to format the text (bolding, font colours, word-art, etc), then Vim isn't the tool to use.
    Incentivized
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    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
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    Open Source
    • The efficient modal editing makes it very fast to write/edit code as I think of it.
    • The customization and wide range of plugins let me do very specific things and automate parts of my workflow.
    • The fact that it runs inside a terminal simplifies my window management and just becomes another Tmux window in my workflow.
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    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
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    Open Source
    • Without a doubt the hardest program to learn. It is a completely different paradigm of thinking compared to other editors
    • By default it doesn't have lots of fancy features you would find in larger IDE programs like code completion and linking
    • It lives in the command line so a user has to be comfortable with this interface
    Incentivized
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    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
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    Open Source
    I don't consider the steep learning curve to be a hinderance on the overall usability. I would rate this a ten, but to be honest a lot of people do get hung up at the beginning and just abandon it. However, for people who have made the moderate effort to get over the hump, nothing can be more usable.
    Incentivized
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    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
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    Open Source
    There is no commercial support for Vim. Thus, it will not get a mark beyond 5. However, community support is very good. You can easily find solutions for most of the problems in the community.
    Incentivized
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    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
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    Open Source
    Vim's keybindings are a lot more complex than Notepad++. With that, comes a whole bunch of capability that Notepad++ just can't match. Emacs is comparable, in terms of capabilities--because Vim is built into so many unix systems, I chose to learn it instead of Emacs. Knowing both probably isn't a bad idea, but there's enough to learn in either camp to keep you busy
    Incentivized
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    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
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    Open Source
    • It always increases productivity.
    • Sometimes feature discovery is not easy. It could be documented well like how to install a plugin and if it supported well or not.
    Incentivized
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