Our purpose
Vizualmodel develops and curates computational models and suites of tools for exploring real subjects. An existing model gives an investigation a substantial head start: useful computation, documented assumptions and a foundation to build upon.
Models first. Agents by choice.
Your preferred AI agent can help turn a question into an experiment, configure a model, run scenarios, compare outputs and interpret results through a supported connection. Where source access, permissions and your setup allow, it can also help adapt or extend a model for your own questions.
We publish models as blueprints: coherent suites of models and tools, with the information needed to discover and work with them. Models may have a visual interface or run without one. Connecting complementary models requires compatible scientific assumptions and interfaces.
Credibility is part of the product.
Our quality standard calls for explicit assumptions and limitations, traceable data, validation evidence and reproducible investigations. Each suite must distinguish what has been demonstrated from what remains to be checked.
Solar System, our first suite, supports orbital exploration and physical distance analysis using an approximate Keplerian model. Its mathematical and software checks do not establish positional accuracy against independent reference ephemerides; that validation is still pending.
Openness and user control
We favor portable research artifacts, clear permissions and documented interfaces. Source availability and modification rights depend on each model’s license. Users should understand where computation runs, where data goes and which version produced a result.
Contribute a starting point
We welcome proposals for curated inclusion. The existing submission guide explains how to prepare a repository, description, scientific domain, documentation, licensing and validation evidence for GitHub-based review. A proposal does not publish a model automatically.