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Computational science platform
Collaborative, reproducible bioinformatics for R&D
Set up environments, provision compute, run pipelines, and manage ML models. Traceable, compliant, reproducible, and installs into your existing cloud architecture.
Trusted by thousands of computational scientists in Biotech and Pharma:
It takes a lot of time to work manually, or to build and maintain bespoke systems
Collaboration can be slow and painful within and between computational projects
It’s hard to consistently reproduce result data across different compute environments
CompBio & bioinformatics often needs manual processes & custom-built systems
Set up environments and provision compute
Build what you need with built-in tools and automated Dockerfile generation. Develop in your preferred cloud workstation and attach data of any size. Deploy to the cloud in one click, and shut down automatically when idle.
Collaborate with others on powerful workflows
Develop computational research with others, from straightforward analysis to parallelized bioinformatics pipelines. Share and co-develop any Compute Capsule, Pipeline, or Data asset within your deployment.
Get automated result provenance and reproducibility
See the provenance of all results with the Lineage Graph and preserve everything needed for full reproducibility. All development tracked with Git, and no lock-in: export anything, at any time, and run it anywhere else.
What our customers say
“Code Ocean's self-service capabilities make it easy for our scientists to do their work reproducibly. New users to the platform can get far with just a little support, giving our engineers time to focus on domain-specific challenges.”
What our customers say
“Code Ocean totally solves tracking and reproducing analysis for researchers and increases trust in the results.”
What our customers say
“Code Ocean sped up our internal image pre-processing computational workflow by at least 10x, improving collaboration and productivity between our global teams ... removing the need for painful cloud computing infrastructure set up.”
What our customers say
“Code Ocean opens the door to automating and scaling major aspects of the research process. With the Code Ocean platform, our scientists can focus on their core competencies, do more, think bigger, and achieve higher goals.”
What our customers say
“The biggest win at Lantern is the pipeline we developed, and the value of Code Ocean was that it allowed the whole team to work together ... we had a shared environment for collaboration.”
New: machine learning features
We’re launching new features that make it easier for computational biologists, bioinformaticians, and ML engineers to work together in training, validating, and using ML models alongside their existing workflows.
Built for Computational Science
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Data analysis
Data analysis
Use ready-made template Compute Capsules to analyze your data, develop your data analysis workflow in your preferred language and IDE using any open-source software, and take advantage of built-in containerization to guarantee reproducibility.
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Data management
Data management
Manage your organization's data and control who has access to it. Built specifically to meet all FAIR principles, data management in Code Ocean uses custom metadata and controlled vocabularies to ensure consistency and improve searchability.
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Bioinformatics pipelines
Bioinformatics pipelines
Build, configure and monitor bioinformatics pipelines from scratch using a visual builder for easy set-up. Or, import from nf-core in one click for instant access to a curated set of best practice analysis pipelines. Runs on AWS Batch out-of-the-box, so your pipelines scale automatically. No setup needed.
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ML models
ML model development
Code Ocean is uniquely suited for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Install GPU-ready environments and provision GPU resources in a few clicks. Integration with MLFlow allows you to develop models, track parameters, manage models from development to production, while enjoying out-of-the-box reproducibility and lineage.
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Multiomics
Multiomics
Analyze and work with large multimodal datasets efficiently using scalable compute and storage resources, cached packages for R and Python, preloaded multiomics analysis software that works out of the box and full lineage and reproducibility.
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Imaging
Imaging
Process images using a variety of tools: from dedicated desktop applications to custom-written deep learning pipelines, from a few individual files to petabyte-sized datasets. No DevOps required, always with lineage.
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Cloud management
Cloud management
Code Ocean makes it easy to manage data and provision compute: CPUs, GPUs, and RAM. Assign flex machines and dedicated machines to manage what is available to your users. Spot instances, idleness detection, and automated shutdown help reduce cloud costs.
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Data/model provenance
Data/model provenance
Keep track of all data and results with automated result provenance and lineage graph generation. Assess reproducibility with a visual representation of every Capsule, Pipeline, and Data asset involved in a computation.
Data analysis
Use ready-made template Compute Capsules to analyze your data, develop your data analysis workflow in your preferred language and IDE using any open-source software, and take advantage of built-in containerization to guarantee reproducibility.
Data management
Manage your organization's data and control who has access to it. Built specifically to meet all FAIR principles, data management in Code Ocean uses custom metadata and controlled vocabularies to ensure consistency and improve searchability.
Bioinformatics pipelines
Build, configure and monitor bioinformatics pipelines from scratch using a visual builder for easy set-up. Or, import from nf-core in one click for instant access to a curated set of best practice analysis pipelines. Runs on AWS Batch out-of-the-box, so your pipelines scale automatically. No setup needed.
ML model development
Code Ocean is uniquely suited for Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI. Install GPU-ready environments and provision GPU resources in a few clicks. Integration with MLFlow allows you to develop models, track parameters, manage models from development to production, while enjoying out-of-the-box reproducibility and lineage.
Multiomics
Analyze and work with large multimodal datasets efficiently using scalable compute and storage resources, cached packages for R and Python, preloaded multiomics analysis software that works out of the box and full lineage and reproducibility.
Imaging
Process images using a variety of tools: from dedicated desktop applications to custom-written deep learning pipelines, from a few individual files to petabyte-sized datasets. No DevOps required, always with lineage.
Cloud management
Code Ocean makes it easy to manage data and provision compute: CPUs, GPUs, and RAM. Assign flex machines and dedicated machines to manage what is available to your users. Spot instances, idleness detection, and automated shutdown help reduce cloud costs.
Data/model provenance
Keep track of all data and results with automated result provenance and lineage graph generation. Assess reproducibility with a visual representation of every Capsule, Pipeline, and Data asset involved in a computation.
Product features
Capsules
Capsules
Pipelines
Pipelines
Models
Models
Data
Data
Lineage Graph
Lineage Graph
Collections
Collections
Apps
Apps
Admin
Admin panel
IT & Engineering
Computational Scientists
R&D Leadership
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