Posit vs. PyCharm

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Posit
Score 9.1 out of 10
N/A
Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.N/A
PyCharm
Score 9.3 out of 10
N/A
According to the vendor, PyCharm is an extensive Integrated Development Environment (IDE) specifically designed 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 endeavors to support programmers in composing orderly and easily maintainable code by offering PEP8 checks, testing assistance, intelligent refactorings, and inspections. Moreover, it caters to web…
$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
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.
Chose Posit
I used to use PyCharm for python, I did not try any other software for R.
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.
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 …
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 …
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 …
Chose Posit
I like the simplicity of Rstudio, and besides the obvious point that PyCharm is an IDE for python, I find Rstudio much more intuitive. Plotting is better, Rstudio is much easier to customize, and PyCharm tends to take a long time to load. However, I have not experienced as much …
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 …
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 …
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.
Chose Posit
RStudio is the only R-friendly IDE. None of the IDEs, even though they offer R-plugins, are as intuitive as RStudio.
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 …
Chose Posit
For R programming, it's the de-facto because it's designed specifically for it, but other language support is getting stronger.
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 …
Chose Posit
RStudio gives a more integrated R experience compared to Jupyter. RStudio is the ideal tool for running R interactively.
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 …
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.
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 …
Chose Posit
As we have R Language expertise in-house RStudio was the best option for us.
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 …
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 …
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.
PyCharm
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 …
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, …
Top Pros
Top Cons
Features
PositPyCharm
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Posit
7.3
26 Ratings
15% below category average
PyCharm
-
Ratings
Connect to Multiple Data Sources8.125 Ratings00 Ratings
Extend Existing Data Sources7.526 Ratings00 Ratings
Automatic Data Format Detection6.425 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Posit
8.3
26 Ratings
2% below category average
PyCharm
-
Ratings
Visualization8.426 Ratings00 Ratings
Interactive Data Analysis8.323 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Posit
8.2
25 Ratings
1% below category average
PyCharm
-
Ratings
Interactive Data Cleaning and Enrichment8.123 Ratings00 Ratings
Data Transformations8.325 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Posit
8.2
21 Ratings
4% below category average
PyCharm
-
Ratings
Multiple Model Development Languages and Tools8.221 Ratings00 Ratings
Single platform for multiple model development8.521 Ratings00 Ratings
Self-Service Model Delivery8.018 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Posit
8.6
17 Ratings
0% above category average
PyCharm
-
Ratings
Flexible Model Publishing Options8.417 Ratings00 Ratings
Security, Governance, and Cost Controls8.815 Ratings00 Ratings
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PositPyCharm
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Medium-sized Companies
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All AlternativesView all alternativesView all alternatives
User Ratings
PositPyCharm
Likelihood to Recommend
9.0
(122 ratings)
9.8
(38 ratings)
Likelihood to Renew
9.7
(17 ratings)
10.0
(1 ratings)
Usability
10.0
(3 ratings)
-
(0 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.
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JetBrains
It's easy to create virtual environments and install packages for different projects as we may need project-specific packages for doing our experiments, also it's easy to see what changes we have made and create pull requests faster. But sometimes we want some light python editor like Jupiter notebook as PyCharm is relatively heavier, also Jupiter notebooks are a good option when we need to run remote code on local machines.
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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.
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.
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.
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.
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.
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JetBrains
It's perfect for our needs, cuts development time, is really helpful for newbies to understand projects structure
Read full review
Usability
Posit (formerly RStudio)
I think it's a quick and easy to use tool. The IDE is very intuitive and easy to adapt to. You do not need to learn a lot of things to use this tool. Any programmer and a person with knowledge or R can quick use this tool without issues.
Read full review
JetBrains
No answers on this topic
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
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.
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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
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.
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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.
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JetBrains
PyCharm is the best IDE for python development. PyCharm offers various features: source code completion, support for unit testing, integration with Docker/GitLab/Git, ability to manage and configure virtual environments, auto-indentation, and re-factoring code with ease. Support for JSON/Shell scripts and support for Flask/Django Other tools are effective for creating isolated scripts but not for handling projects with more than two scripts.
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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.
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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).
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JetBrains
  • Buying the licensed pro version is a bit costly, but overall because of its features and its speed, the time taken by a developer to develop something can be improved. Indirectly getting a good return of Investment.
  • Considering the team size and its features, one can go for the licensed version as the ROI is high.
  • Customer support is also good for a licensed version, thereby saving the time, which in turn shows ROI as high.
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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.