Jupyter Notebook is an open-source web application that allows users to create and share documents containing live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, and machine learning. It supports over 40 programming languages, and notebooks can be shared with others using email, Dropbox, GitHub and the Jupyter Notebook Viewer. It is used with JupyterLab, a web-based IDE for…
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Posit
Score 9.1 out of 10
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Posit, formerly RStudio, is a modular data science platform, combining open source and commercial products.
Jupyter Notebook is very attractive platform for new developers to code and to learn programming and perform tasks as compared to other IDE. It has very well and easy visualization, interactive programming and sharing the live code and slideshow is very easy as compare to …
Verified User
Engineer
Chose Jupyter Notebook
Jupyter Notebook has a nicer interface than RStudio in our opinion and since most of our group is familiar with Jupyter Notebook it has made it a default choice. Overall the interactive programming as well as the easy visualizations, model deployment, and markdown made Jupyter …
Jupyter Notebook is the core feature extended on by many commercial alternatives. The commercial alternatives have more feature integration with the rest of their portfolio. RStudio is another competitor for interactive and literate programming.
With Jupyter Notebook besides doing data analysis and performing complex visualizations you can also write machine learning algorithms with a long list of libraries that it supports. You can make better predictions, observations etc. with it which can help you achieve better …
I like Jupyter Notebook over the other two because it keeps my work more organized. It helps me to structure my workflow and the ability to run commands in chunks keeps me from being confused when coming back to the work after some time.
RStudio's user interface is easier to use than Jupyter Notebook (particularly for users that are new to programming). Many of our users have experience with RStudio Desktop, so switching to RStudio Server Pro was very easy. Deploying applications is also much easier thanks to …
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 …
Python IDEs like Spyder or Jupyter Notebooks are not steady and stable as compared to RStudio. The newer version of Python or Installing new Library corrupted the Spyder or Jupyter Notebook versions, not same with RStudio! There are not easily available tools like RShiny in order …
We feel that RStudio Teams is so far one of the best prototyping environments for data scientists. It is much more robust than standard JupyterLab/Jupyter Notebook instances in the cloud and it supports better authentication methods, allows to share your content via RStudio …
Jupyter Notebook is a similar tool, which is also good. RStudio has better support on R, and it's easier to generate and share analysis reports through the RStudio connect.
RStudio stacks up pretty well against Anaconda. However, Anaconda might be the first choice for someone who likes Python for their analytics and machine learning needs. In the past, I have found it seamless to connect Jupyter Notebook (in Anaconda suite) to integrate with other …
RStudio works really well compared to competitors such as Jupyter Notebook where there is no environment to visualize variables. RStudio on the other hand is much easier to use and provides the right set of environments for users.
Posit is far better than Jupyter Notebook and Minitab in this regard that Posit is actually capable of doing all kind of analytical stuffs like data pre-processing, wrangling, validation and visualization. On the other hand, Jupyter Notebook can be used for python programming …
inter-departmental collaboration - my first choice would be TIBCO Spotfire natural language processing and knowledge graphs - my first choice would be Python information security & visualizations (including d3.js libraries) - my first choice is RStudio
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 …
RStudio is free and so that is the main reason that I use it. I like that it is open source and so there are lots of support on the internet. I tried SAS JMP and Python in a text editor but RStudio was better than either of those options for cost and code flexibility …
I have tried to work a bit with Jupyer notebooks and Spyder, but both are way less agreeable than RStudio. Once you taste RStudio, you can't go back!
Verified User
Professional
Chose Posit
These all work synergistically and fulfill slightly different roles. In general this is determined by complexity of task and the degree of training and expertise of the end user. RStudio works well for organisations looking to move into doing more complex analytics. In general …
Most bioinformaticians and scientists prefer coding in R, however python is the widely used language also. I have seen that Rstudio has definitely improved and the addition of python capability has made it easier for both python and R programmers. The built in terminal has also …
I've been pitched a few different data science notebook tools that tend to be more expensive and less suited to R development. I don't think I've actually seen another product that really compares to RStudio Connect for publishing Shiny Apps. I think the alternative there is …
Rodeo, jupyter and other editors RStudio like for both R and Python are simply not at the level of RStudio and they do not provide the same range of features that comes with it.
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 …
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.
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 …