Posit Reviews & Product Details

I love Posit's leadership in the market and its ability to stay ahead of the curve by quickly adopting new technologies and paradigms. They've significantly contributed to the open-source community with a culture that's best in class. The documentation is top-notch, comprehensive, and the community is responsive. Posit is reliable and lets me focus on my actual work without bother. It excels in publishing, enabling even new users to explore confidently. The admin tools like logs and diagnostics are top notch. It's easy for end-users to set up access and schedule content execution. The product is well-designed and aesthetically pleasing, reflecting the care and passion of the smart people behind it. The integration and connectedness with other tools are seamless, making setup a breeze, especially for those familiar with RStudio. Importantly, Posit serves my needs fully without the extensive feature list overpowering my workflow. Review collected by and hosted on G2.com.

We have some issues with the OS we decided to use for deployment, RHEL9. It's related to OS packages and not Posit. There's been the unusual blastula curl bug, python bin mismatch, and misconfigurations over the years, but nothing that I could directly blame Posit for. They have bugs in their software suite, but they're never blocking. We can usually route around them in about an hour. Review collected by and hosted on G2.com.

I use Posit as my focused space for turning scattered data into clear insight. It helps me explore datasets, test ideas, build models, and shape clean visual stories in R and Python. I love how everything stays organized in one structured workspace where coding, testing, and reporting flow naturally, reducing errors and saving time. The editor feels clean and focused, and the console responds quickly, which makes testing ideas easy and comfortable. I appreciate how plots, data, and project files stay connected, allowing me to understand my work at a glance. It keeps my scripts, results, and reports connected in one smooth workflow and helps me stay structured, confident, and fully focused on analysis without unnecessary distractions. One more thing I really enjoy about Posit is how stable and reliable it feels, even during long work sessions. It handles large projects smoothly and rarely interrupts my flow. I also appreciate how easily it connects with version control and reporting tools, making collaboration simple and organized. Review collected by and hosted on G2.com.

While I value Posit overall there are a few areas that could improve. Occasionally performance slows when working with very large datasets which can interrupt momentum. The interface is clean but some advanced settings feel hidden and take time to discover. I also think the built in collaboration features could be more seamless for real time teamwork. Small refinements in speed, discoverability, and collaboration would make the experience even stronger. Review collected by and hosted on G2.com.

I like that Posit provides a stable and well-organized platform for data analysis with R and Python. It helps keep workflows reproducible and projects structured, reducing environment and setup issues. Posit facilitates focusing more on analysis and insights rather than managing tools. Additionally, it integrates smoothly with other tools I use, fitting seamlessly into my workflow for analytics tasks. Review collected by and hosted on G2.com.

Overall, Posit does what I need, but it’s not perfect. When I first started using it, the setup took longer than expected, and figuring out some of the options wasn’t very intuitive. There’s also a bit of a learning curve with more advanced features. Occasionally, performance slows down when working with larger datasets. Better onboarding and clearer guidance would make the experience smoother, especially for new users. Review collected by and hosted on G2.com.

Posit is a platform developed by actual data scientists that understand the actual "boring" problems that most data scientists face in a business setting. Each tool is purpose-built to solve a particular problem. Workbench makes it easy for everyone on your team to be working in the same environment from day one, with consistent software versions. Further, you get your choice of IDE and scalable compute. Connect is the "crown jewel" that allows push-button publication of reports, APIs and applications. This product means that key analyses are no longer lost in email or sent around as Excel files, but are shared in an enterprise-ready production platform. Package Manager is the least exciting, but solves a critical need around cyber security compliance. Review collected by and hosted on G2.com.

Posit costs have been increasing at higher than expected rates year-to-year which makes managing budget difficult. Review collected by and hosted on G2.com.

So i have used many tensorflow,scikit platform and one of my friend recommended me this app after some years of experience in Python,R and Machine Learning.

So this platform was a total game changer for me in terms of effectively using R and python language. Now i can easily club all my works into an extraordinary platform which have a great backup facility too.

This platform gives you an super edge to focus on the analysis of your code rather than debugging and data cleaning. Honestly this gives you the professional vibe to implement and work on your data Science work. Another thing i like the most that you don't have to take tension for your project files and databases because each project have it's won file,database,library and environment.And even if you come after an year and load and run your project it will run smoothly like before. Review collected by and hosted on G2.com.

Well it is one of the best platforms which i have ever used and the only dislike i think is that for beginners it is hard to understand it's functionality for the first time, and for some I think it took them a year to know about the features and how to use them.

Other than this one major thing is that it is heavy platform so for smooth performance the RAM>=14 needed quadcore with 526 GB SSD needed .But it will still run on 4 GB RAM too with minimum lags if you only need to run smaller models and want to used to it all the features. Review collected by and hosted on G2.com.

What I appreciate most about posit is its support for open source IDEs like RStudio. In addition, the support provided is excellent, and the overall user experience is outstanding. Review collected by and hosted on G2.com.

When it comes to deep machine learning, it doesn't offer the same level of power as Python. Review collected by and hosted on G2.com.

Posit provides a range of software support, including RStudio, Quarto, Shiny, and more. What I appreciate most about Posit is its commitment to supporting open source software, which is extremely beneficial for users. Review collected by and hosted on G2.com.

Posit Enterprise is quite expensive, which could be a concern for small-scale users. Review collected by and hosted on G2.com.

It is easy to integrate to github and github copilot, works on any computer with an internet access with a basic browser. The platform even works on a cheapest chromebook, which makes it easy to adopt for public schools. There is no need to worry about the packages, because it is immediately available and updated Review collected by and hosted on G2.com.

servers may be busier sometimes but this happens very rarely, or this latency is because of a narrow bandwidth on a local network. Review collected by and hosted on G2.com.

I have worked on statistics, and this tool is amazing. From an intention of building statistics to great analysis. Review collected by and hosted on G2.com.

We lose functions when upgrading to newer versions of the tool. Review collected by and hosted on G2.com.

Things that i like about this is open source. Along withMultiple language support.Also this isable to scale and flexible as per need. It also have enough enterprice level features. Review collected by and hosted on G2.com.

The few things that I dislike about this are learning curve is not flexible at a starting level but with hands on it make easier.Not flexible for custom change as per requirement. Review collected by and hosted on G2.com.