Synthetic data tooling
Build controlled mock data, structured samples, and testing datasets with more guidance around constraints and distributions.
SimLabs is a Chinese-first interactive simulation site that now includes an English discovery layer for international users. The platform combines data tooling with visual explanations for abstract topics.
Build controlled mock data, structured samples, and testing datasets with more guidance around constraints and distributions.
Turn abstract ideas from economics, physics, biology, psychology, and computing into explorable pages.
Useful for classroom projection, guided explanation, self-study, and scenario-based demos.
SimLabs is strongest when the goal is clarity, controllability, and explanation rather than industrial-scale throughput.
The English mirror now covers the public HTML pages so international users can browse both entry pages and detailed demos in English.
The mirrored pages keep the original CSS, scripts, and layout structure whenever possible so behavior stays consistent.
Each mirrored page is paired with its Chinese counterpart so that search engines can discover both versions cleanly.