The Open Hub for Engineering Data and Models
Explore datasets and surrogate models built on:
simulation & experimental data, performance test data, product specifications, material properties, etc.
Discover and reuse models in science and engineering
Discover and reuse
Build and share
Build and share models on a dedicated platform
in science and engineering
on a dedicated platform
Explore datasets and surrogate models built on:
simulation & experimental data, performance test data, product specifications, material properties, etc.
organize data in repositories ⇨ fit surrogate models ⇨ reuse models in code
Organize and host your simulation or experimental data in topical repositories. Assign topic tags and add wiki pages, making your repositories findable and self-explanatory.
Upload data from text files, spreadsheets, or images. For graphical data, use the integrated plot digitizer to extract numerical datasets directly from images and charts.
Fit smooth, fast-evaluating approximations to your discrete data using an interactive curve fitting tool. Build lofted surfaces and spline-based models in a few clicks. Manually adjust spline curves to achieve the best fit tolerance for complex relations.
Pull datasets and fitted models directly into your computational scripts via the SplineCloud API to accelerate design optimization, sensitivity analysis, systems modelling, and digital twin development. Use our Python client library for a smoother experience.
UAV wing console generator web app, developed with CadQuery, Streamlit and SplineCloud
The combination of modern open-source frameworks with SpineCloud empowers the streamlined development of knowledge-based applications and AI-powered expert systems. Such applications, deployed in the cloud or on-premises, significantly reduce redundancy in design and engineering processes, preserve expert knowledge, and allow to make better decisions in shorter timeframes.
Speed up the development of mathematical models that simulate your product by accessing ready-to-use data from SplineCloud. Browse our knowledge base for the results of simulations and experiments, components and materials specifications, pull it into your code with SplineCloud API to develop more accurate designs and simulations in less time.
Does your product have to address tough and conflicting requirements? With SplineCloud, development of MDO applications becomes simple, transparent and more reliable.
Make your engineering data accessible to your distributed team of engineers via secure collaboration groups. Simplify knowledge transfer and acquisition, improve data interoperability in your team and reduce development time.
Turn your product data sheets into broadly accessible and reusable data repositories, allowing your customers to build more accurate models and provide you with early feedback, eventually reducing the time spent on negotiating and formulating requirements.
We believe this is achievable together with the community committed to the principles of open collaboration and collective knowledge sharing.
These ideas motivated us to create an open platform where researchers, engineers, domain experts and technical practitioners can formalize and share their findings: datasets, models, interactive apps and technical articles, empowering each other's creativity and innovation.
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