CodeOcean Reviews and details

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2023-10-20

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about CodeOcean and what they use it for.

Ask HN: PG's 'Do Things That Don't Scale' Manual Examples
I was an early hire at a computational reproducibility startup for scientists [0]; The platform was basically a web-based frontend wrapped around a Docker container hosted on AWS, and the idea was that you'd put your code and data on the platform and have it be online-executable indefinitely, and you wouldn't have to worry about package updates, functions breaking, etc., because it was containerized. The... - Source: Hacker News / 6 months ago
Show HN: Open-source infra for data scientists
It looks like Magniv is targeting Python in general. This is similar to ClearML. What are the differentiating points to Magniv compared to similar products? It seems like the product also integrates with SCM systems. Are you using gitea and then containers to push code and data to execution like CodeOcean? https://github.com/allegroai/clearml https://codeocean.com/. - Source: Hacker News / about 2 years ago
publishing data analysis performed in R/code availability
Code ocean also exists for this purpose, though the number of compute hours is limited on free academic licenses. Source: over 2 years ago

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CodeOcean discussion

This is an informative page about CodeOcean. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

CodeOcean

Code Ocean is a research collaboration platform. Create, collaborate on, share, execute, and publish computational code and data from anywhere, with anyone.