CodeOcean
CodeOcean is a cloud-based platform that allows researchers to share, validate, and archive code associated with scientific publications. It enables computational reproducibility by packaging code with data and environment specifications.
CodeOcean: Cloud-Based Code Sharing for Scientific Reproducibility
Cloud-based platform for researchers to share, validate, and archive code, ensuring computational reproducibility with data and environment specifications.
What is CodeOcean?
CodeOcean is a cloud-based platform designed to enable computational reproducibility and collaboration in science. It allows researchers to share, validate, and archive the code associated with their scientific publications in one centralized location.
Some key features of CodeOcean include:
- Code capsules - Code, data, and computing environments are bundled together into portable and reproducible capsules for sharing.
- Version control - Capsules are linked to repositories like GitHub or Bitbucket for version tracking.
- Computational reproducibility - Other researchers can easily reproduce results by re-running the code in CodeOcean.
- Collaboration - Researchers can work together on code in real-time with integrated IDEs and virtual machines.
- Citations - Code capsules are assigned DOIs so they can be formally cited as research outputs.
- Review process - Code can be peer reviewed as part of the publication process to validate reproducibility.
Overall, CodeOcean aims to promote transparency, reproducibility, collaboration and proper academic credit for code. This supports integrity and progress in computational research across many disciplines.
CodeOcean Features
Features
- Allows researchers to share code associated with publications
- Enables computational reproducibility by packaging code with data and environment specifications
- Provides version control and archiving for code
- Allows validation and execution of code in the cloud
- Integrates with journals and conferences for one-click code sharing
Pricing
- Freemium
- Subscription-Based
Pros
Promotes open science and reproducibility
Simplifies code sharing for researchers
Provides persistent links and DOIs for code
Allows code to be cited like publications
Reduces burden of sharing and archiving code
Cons
Limited free plan
Can be complex for non-programmers
Relies on Docker which has a learning curve
Not ideal for commercial/proprietary code
Hosted on cloud so requires internet connection
Official Links
Reviews & Ratings
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