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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Posit

    Score10 out of 10
    N/APosit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A

    PyCharm

    Score9.3 out of 10
    N/APyCharm is an extensive Integrated Development Environment (IDE) for Python developers. Its arsenal includes intelligent code completion, error detection, and rapid problem-solving features, all of which aim to bolster efficiency. The product supports programmers in composing orderly and maintainable code by offering PEP8 checks, testing assistance, intelligent refactorings, and inspections. Moreover, it caters to web development frameworks like Django and Flask by providing framework…

    $9.90

    per month per user

    Pricing
    PositPyCharm
    Editions & Modules
    No answers on this topic
    For Individuals
    $99
    per year per user
    All Products Pack for Organizations
    $249
    per year per user
    All Products Pack for Individuals
    $289
    per year per user
    For Organizations
    $779
    per year per user
    Offerings
    Pricing Offerings
    PositPyCharm
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    PositPyCharm
    Considered Both Products
    Posit (formerly RStudio)
    Chose Posit
    I used them to run Python codes, so that not really comparable here. I will describe my experience around it. I feel that Jupyter Notebook is the closest product to RMarkdown file, as it allows users to run line by line and share outcomes underneath. PyCharm and Visual Studio …
    Incentivized
    Chose Posit
    Far better integrated and easy to use. The only full-blown Python IDE is PyCharm, and it is a monolith. I used Spyder instead. I was very happy when RStudio added Python support so I can ditch Jupyter Notebooks, which really isn't an IDE but is more like RMarkdown, a small …
    Incentivized
    Chose Posit
    I used PyCharm for another project with Python. Both RStudio and PyCharm are free, so cost is not an issue.
    I've worked with RStudio for much longer, so I am used to it's interface. I haven't worked with Python as much, but I think they now have that feature I mentioned before …
    Incentivized
    Chose Posit
    PyCharm does not provide the same functionalities as described above. However, is more suitable when working on large-scale projects due to its great file organizing system.
    Incentivized
    Chose Posit
    RStudio overcomes Anaconda spider and PyCharm for the simplicity of installation and usage.

    Incentivized
    Chose Posit
    I used to use PyCharm for python, I did not try any other software for R.
    Incentivized
    Chose Posit
    Comparing RStudio to PyCharm is basically comparing R to Python, since if it is only comparing the IDEs in R, there are almost no competitors that have the same level of ability as RStudio. However, there is a trend of shifting from R to Python and PyCharm would be very strong.
    Incentivized
    Chose Posit
    RStudio works similarly to PyCharm (and PyCharm can support R code) insofar as it's a development environment meant to improve the coding experience and easily provide commonly used resources (packages). They both provide a navigable dev environment with some learning curve. …
    Incentivized
    Chose Posit
    RStudio stacks up pretty well against its competition. For me, it is really up to personal preference and what you are used to when deciding between the competitions. I like that Python packages have the most external resources, so it's easier to troubleshoot. But RStudio does …
    Incentivized
    Chose Posit
    RStudio Server Pro + RStudio Connect allows greater flexibility and lower cost compared with Cloudera DSW: With RStudio Team licensing we can have multiple installations of RStudio Server on different servers, allowing us to have separate resources for different teams inside …
    Incentivized
    Chose Posit
    In the space of data science tools, code is king. It enables use of standard version control systems like git, access to a wealth of expertise via StackOverflow and others, is commonly used in modern education programs, and more. Other solutions in this space are built on …
    Incentivized
    Chose Posit
    RStudio gives a more integrated R experience compared to Jupyter. RStudio is the ideal tool for running R interactively.
    Incentivized
    Chose Posit
    We needed a product very, very flexible, from a company we trusted and which shared the same vision of data science: not plug & play stuff like (almost) all other product.
    Cost of course is a great plus because we have been able to get our sponsor buying it in a very short time …
    Incentivized
    Chose Posit
    RStudio is the only R-friendly IDE. None of the IDEs, even though they offer R-plugins, are as intuitive as RStudio.
    Incentivized
    Chose Posit
    We have considered other editors for R, but no other editor is as feature rich as RStudio. Since RStudio makes an open-source version of their products available, we were able to increase adoption within the organization with zero risk and zero cost and buy into the commercial …
    Incentivized
    Chose Posit
    While many of these are great, RStudio is the best for R work. There is also native support in the IDE for combining other languages, like Python, into workflows easily so work across languages can be handled in one location.
    Incentivized
    Chose Posit
    Because RStudio is more specifically focused on facilitating programming in R, whereas these other IDEs focus either on more general programming frameworks or a different language, it is the best choice for most of our analysis. Computational biology relies heavily on the …
    Incentivized
    Chose Posit
    As we have R Language expertise in-house RStudio was the best option for us.
    Incentivized
    Chose Posit
    It is much easier to share and adapt code among coworkers
    Incentivized
    Chose Posit
    It is a lot easier to use and makes it easier for collaborative work and reusing code from other people.
    Incentivized
    Chose Posit
    Rstudio itself is very close to PyCharm but due to the R language and the package building system. What is more, object-oriented programming is more widely adopted in python rather than R, and deep learning packages are more available in python. The language is losing …
    Incentivized
    Chose Posit
    For R programming, it's the de-facto because it's designed specifically for it, but other language support is getting stronger.
    Incentivized
    Chose Posit
    We have only used RStudio to do any coding or scripts in R. Among other IDE's it was decided to use RStudio since it had the best documentation and an active community that pushes out pretty frequent updates. Cost of the platform and for training was also a consideration and …
    Incentivized
    Chose Posit
    As for now, RStudio has no significant competitors on the market. As I have mentioned before, to date, it is the best possible option to take, if you wish to use R programming language with IDE, because it is the most powerful one.
    Incentivized
    Chose Posit
    For R and Python users, it’s one of the best tool available for developing, testing and deploying products.

    Cost-wise, it's a bigger bang for the buck than other platforms that were evaluated.
    Incentivized
    JetBrains
    Chose PyCharm
    Eclipse is one of the commonly used alternative IDEs for Python programming language. It's a matter of preference whether to choose PyCharm or Eclipse. However, there is also an IDE called Spyder which is, for example, distributed along with the Anaconda Environment. It enables …
    Incentivized
    Chose PyCharm
    PyCharm is the only Python IDE I've used - all my prior experience was with text editors like Sublime, Notepad++, Atom, etc. The only other IDE I've used is RStudio, which has been fairly limited to small, individual projects. PyCharm's capabilities, stability, …
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    44 Answers
    96%
    Would buy again
    23 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    44 Answers
    96%
    Delivers good value for the price
    22 Answers
    Happy with the feature set
    95%
    Happy with the feature set
    42 Answers
    96%
    Happy with the feature set
    23 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    28 Answers
    100%
    Lived up to sales and marketing promises
    16 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    38 Answers
    100%
    Implementation went as expected
    23 Answers
    Features
    PositPyCharm
    Platform Connectivity
    Comparison of Platform Connectivity features of Posit and PyCharm
    Feature
    Posit
    9.3
    27 Ratings
    11% above category average
    PyCharm
    -
    Ratings
    Connect to Multiple Data Sources8.026 Ratings00 Ratings
    Extend Existing Data Sources10.027 Ratings00 Ratings
    Automatic Data Format Detection10.026 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of Posit and PyCharm
    Feature
    Posit
    9.0
    27 Ratings
    7% above category average
    PyCharm
    -
    Ratings
    Visualization8.027 Ratings00 Ratings
    Interactive Data Analysis10.024 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of Posit and PyCharm
    Feature
    Posit
    10.0
    26 Ratings
    20% above category average
    PyCharm
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.024 Ratings00 Ratings
    Data Transformations10.026 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of Posit and PyCharm
    Feature
    Posit
    10.0
    22 Ratings
    17% above category average
    PyCharm
    -
    Ratings
    Multiple Model Development Languages and Tools10.022 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery10.019 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of Posit and PyCharm
    Feature
    Posit
    9.9
    18 Ratings
    15% above category average
    PyCharm
    -
    Ratings
    Flexible Model Publishing Options10.018 Ratings00 Ratings
    Security, Governance, and Cost Controls9.915 Ratings00 Ratings
    Best Alternatives
    PositPyCharm
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Visual Studio
    Score8.8 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    IntelliJ IDEA
    Score9.2 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    WebStorm
    Score9.6 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    PositPyCharm
    Likelihood to Recommend
    10.0
    (123 ratings)
    9.6
    (42 ratings)
    Likelihood to Renew
    9.7
    (17 ratings)
    10.0
    (2 ratings)
    Usability
    8.0
    (4 ratings)
    9.6
    (4 ratings)
    Availability
    9.4
    (3 ratings)
    -
    (0 ratings)
    Support Rating
    8.9
    (9 ratings)
    8.3
    (13 ratings)
    Implementation Rating
    9.3
    (4 ratings)
    -
    (0 ratings)
    Configurability
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    8.2
    (3 ratings)
    -
    (0 ratings)
    User Testimonials
    PositPyCharm
    Likelihood to Recommend
    Posit (formerly RStudio)
    In my humble opinion, if you are working on something related to Statistics, RStudio is your go-to tool. But if you are looking for something in Machine Learning, look out for Python. The beauty is that there are packages now by which you can write Python/SQL in R. Cross-platform functionality like such makes RStudio way ahead of its competition. A couple of chinks in RStudio armor are very small and can be considered as nagging just for the sake of argument. Other than completely based on programming language, I couldn't find significant drawbacks to using RStudio. It is one of the best free software available in the market at present.
    Incentivized
    Read full review
    JetBrains
    PyCharm is well suited to developing and deploying Python applications in the cloud using Kubernetes or serverless pipelines. The integration with GitLab is great; merges and rebates are easily done and help the developer move quickly. The search engine that allows you to search inside your code is also great. It is less appropriate for other languages.
    Incentivized
    Read full review
    Pros
    Posit (formerly RStudio)
    • The support is incredibly professional and helpful, and they often go out of their way to help me when something doesn't work.
    • The one-click publishing from RStudio Connect is absolutely amazing, and I really like the way that it deploys your exact package versions, because otherwise, you can get in a terrible mess.
    • Python doesn't feel quite as native as R at the moment but I have definitely deployed stuff in R and Python that works beautifully which is really nice indeed.
    Incentivized
    Read full review
    JetBrains
    • Git integration is really essential as it allows anyone to visually see the local and remote changes, compare revisions without the need for complex commands.
    • Complex debugging tools are basked into the IDE. Controls like break on exception are sometimes very helpful to identify errors quickly.
    • Multiple runtimes - Python, Flask, Django, Docker are native the to IDE. This makes development and debugging and even more seamless.
    • Integrates with Jupyter and Markdown files as well. Side by side rendering and editing makes it simple to develop such files.
    Incentivized
    Read full review
    Cons
    Posit (formerly RStudio)
    • Python integration is newer and still can be rough, especially with when using virtual environments.
    • RStudio Connect pricing feels very department focused, not quite an enterprise perspective.
    • Some of the RStudio packages don't follow conventional development guidelines (API breaking changes with minor version numbers) which can make supporting larger projects over longer timeframes difficult.
    Incentivized
    Read full review
    JetBrains
    • The biggest complaint I have about PyCharm is that it can use a lot of RAM which slows down the computer / IDE. I use the paid version, and have otherwise found nothing to complain about the interface, utility, and capabilities.
    Incentivized
    Read full review
    Likelihood to Renew
    Posit (formerly RStudio)
    There is no viable alternative right now. The toolset is good and the functionality is increasing with every release. It is backed by regular releases and ongoing development by the RStudio team. There is good engagement with RStudio directly when support is required. Also there's a strong and growing community of developers who provide additional support and sample code.
    Incentivized
    Read full review
    JetBrains
    It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
    Incentivized
    Read full review
    Usability
    Posit (formerly RStudio)
    For someone who learns how to use the software and picks up on the "language" of R, it's very easy to use. For beginners, it can be hard and might require a course, as well as the appropriate statistical training to understand what packages to use and when
    Incentivized
    Read full review
    JetBrains
    It's pretty easy to use, but if it's your first time using it, you need time to adapt. Nevertheless, it has a lot of options, and everything is pretty easy to find. The console has a lot of advantages and lets you accelerate your development from the first day.
    Incentivized
    Read full review
    Reliability and Availability
    Posit (formerly RStudio)
    RStudio is very available and cheap to use. It needs to be updated every once in a while, but the updates tend to be quick and they do not hinder my ability to make progress. I have not experienced any RStudio outages, and I have used the application quite a bit for a variety of statistical analyses
    Incentivized
    Read full review
    JetBrains
    No answers on this topic
    Support Rating
    Posit (formerly RStudio)
    Since R is trendy among statisticians, you can find lots of help from the data science/ stats communities. If you need help with anything related to RStudio or R, google it or search on StackOverflow, you might easily find the solution that you are looking for.
    Incentivized
    Read full review
    JetBrains
    I rate 10/10 because I have never needed a direct customer support from the JetBrains so far. Whenever and for whatever kind of problems I came across, I have been able to resolve it within the internet community, simply by Googling because turns out most of the time, it was me who lacked the proper information to use the IDE or simply make the proper configuration. I have never came across a bug in PyCharm either so it deserves 10/10 for overall support
    Incentivized
    Read full review
    Implementation Rating
    Posit (formerly RStudio)
    We did it at the individual level: anyone willing to code in R can use it. No real deployment involved.
    Read full review
    JetBrains
    No answers on this topic
    Alternatives Considered
    Posit (formerly RStudio)
    RStudio was provided as the most customizable. It was also strictly the most feature-rich as far as enabling our organization to script, run, and make use of R open-source packages in our data analysis workstreams. It also provided some support for python, which was useful when we had R heavy code with some python threaded in. Overall we picked Rstudio for the features it provided for our data analysis needs and the ability to interface with our existing resources.
    Incentivized
    Read full review
    JetBrains
    When it comes to development and debugging PyCharm is better than Spyder as it provides good debugging support and top-quality code completion suggestions. Compared to Jupiter notebook it's easy to install required packages in PyCharm, also PyChram is a good option when we want to write production-grade code because it provides required suggestions.
    Incentivized
    Read full review
    Scalability
    Posit (formerly RStudio)
    RStudio is very scalable as a product. The issue I have is that it doesn't necessarily fit in nicely with the mainly Microsoft environment that everybody else is using. Having RStudio for us means dedicated servers and recruiting staff who know how to manage the environment. This isn't a fault of the product at all, it's just part of the data science landscape that we all have to put up with. Having said that RStudio is absolutely great for running on low spec servers and there are loads of options to handle concurrency, memory use, etc.
    Incentivized
    Read full review
    JetBrains
    No answers on this topic
    Return on Investment
    Posit (formerly RStudio)
    • Using it for data science in a very big and old company, the most positive impact, from my point of view, has been the ability of spreading data culture across the group. Shortening the path from data to value.
    • Still it's hard to quantify economic benefits, we are struggling and it's a great point of attention, since splitting out the contribution of the single aspects of a project (and getting the RStudio pie) is complicated.
    • What is sure is that, in the long run, RStudio is boosting productivity and making the process in which is embedded more efficient (cost reduction).
    Incentivized
    Read full review
    JetBrains
    • PyCharm has a very positive ROI for our BU. It has increased developer productivity exponentially.
    • Software quality has significantly improved. We are able to refactor/test/debug the code quicker/faster/better.
    • Our business unit is able to deliver faster. Customers are happier than ever.
    Incentivized
    Read full review
    ScreenShots

    Posit Screenshots

    Screenshot of Posit runs on most desktops or on a server and accessed over the webScreenshot of Posit supports authoring HTML, PDF, Word Documents, and slide showsScreenshot of Posit supports interactive graphics with Shiny and ggvisScreenshot of Shiny combines the computational power of R with the interactivity of the modern webScreenshot of Remote Interactive Sessions: Start R and Python processes from Posit Workbench within various systems such as Kubernetes and SLURM with Launcher.Screenshot of Jupyter: Author and edit Python code with Jupyter using the same Posit Workbench infrastructure.