G2

Aaron M.

SVP, AI & Data Science

Small-Business (50 or fewer emp.)

7/16/2024

"reproducible, professional data science deliverables"

5/5

What do you like best about Code Ocean?

CodeOcean provides data science teams with a centralized, managed, remote cloud workspace to not only develop and test new analyses using your favorite IDE (Posit Studio, VSCode, Jupyter), but to reliably and effortlessly deliver the outputs of those analyses to stakeholders in a way that is 100% reproducible, traceable, shareable, and reusable. Review collected by and hosted on G2.com.

What do you dislike about Code Ocean?

CodeOcean may not be a good organizational fit for teams that already have cloud/dev-ops engineers, or who are developing analytic data analysis software products for web or mobile platforms. Review collected by and hosted on G2.com.

What problems is Code Ocean solving and how is that benefiting you?

CodeOcean allows data scientists on my team to do their normal day-to-day work in a familiar IDE environment, while abstracting (and hiding) away nearly all of the cloud, git, and container devops work required for their results to be reproducible and reusable. This yields savings in time and effort, not to mention avoiding frustrations with otherwise native cloud computing environments. CodeOcean compute capsules capture everything about a data analysis necessary to return at a later date, obtain consistent results, and make updates while not losing track of output versioning and provenance. Review collected by and hosted on G2.com.