opendreamkit.org

What It Is

OpenDreamKit was a large research infrastructure project funded by the EU’s Horizon 2020 program (€7.6 million), running from 2015 to 2019. It is not a commercial SaaS product, but an open-source toolkit designed to build virtual research environments (VREs) for mathematics and computational science. The project brought together 50 open-source science enthusiasts across 17 European sites, aiming to lower the barrier to entry and improve productivity in computational science by improving and unifying existing open-source components.

Core Dimensions

• Features and Use Cases: Its core goal was to create a flexible VRE toolkit supporting the full research lifecycle, from exploration, proof, and publication to archiving data and code. It extended the Jupyter Notebook environment with interactive 3D visualization, Notebook comparison and merge tools, and a strong focus on reproducibility in computational science.
• Integration and Ecosystem: This is OpenDreamKit’s biggest strength. It deeply integrated otherwise separate mathematical software ecosystems—such as SageMath, GAP, PARI/GP, Singular, and LMFDB—with the Jupyter ecosystem, allowing users to call these tools seamlessly from within Notebooks. It also supported collaboration and deployment tools such as Binder, JupyterHub, and CoCalc.
• Open Source and Self-Hosting: All code and tools produced by the project are fully open source. It supports highly customizable self-hosting options and can be deployed locally, on high-performance computing (HPC) clusters, or in the cloud, with built-in interfaces to standard HPC and grid services.
• Supported Languages/Frameworks: Built primarily around Python via Jupyter/IPython, with underlying computation involving C/C++ and Cython. Parallel computing support includes OpenMP and MPI.
• API/SDK and Documentation: It proposed a “Math-in-the-Middle” component architecture to enable interoperability between software and databases. Documentation and development were highly transparent, with issues and deliverables published openly on GitHub. However, the style is closer to research project management than developer-friendly product documentation.

Pricing, Pros and Cons

As an EU-funded research project, its outputs are completely free. Its strengths lie in connecting the underlying computational mathematics ecosystem and greatly promoting open-source collaboration and reproducibility. The downside is that the project ended in 2019 and no longer has a dedicated team—previously averaging 11 full-time R&D engineers—maintaining it. Its technology stack is also research-oriented, with a steep learning curve.

Who It’s For

OpenDreamKit is suitable for researchers in pure mathematics and materials science, such as OOMMF micromagnetic simulation users, university instructors, and R&D engineers who need to build large-scale computational science platforms.

Access from China and Alternatives

Because the project outputs are mainly hosted on GitHub and are open source, access conditions are uncertain and may be partially limited depending on GitHub connectivity. There is no payment barrier. For alternatives, open-source options include using SageMath or CoCalc directly.