Open Source is how Curate Labs turns research ideas into software artifacts people can inspect.
The public work is not decoration around the company. It is part of how research gets tested: APIs, examples, release notes, and small tools make assumptions easier to evaluate.
Why It Matters
Public code forces clearer assumptions.
Examples reveal whether an idea survives contact with real workflows.
Release notes make progress, scope, and tradeoffs visible.
Related Work
Start with the Open Source overview, then follow the release notes in the Blog for current shipped work.
What It Means
What Belongs Here
Research Implementations
Code - Small libraries and examples that turn extraction, graph, finance, and evaluation ideas into runnable software.
Graph And Modeling Tools
Code - Work like GraphForge and WACCY that supports graph construction, analytical workflows, and financial modeling.
Reproducible Notes
Code - Examples, release notes, and references that make the technical path easier to inspect and reuse.
Why It Matters
Why It Matters
Source-linked
Evidence stays attached
Recommendations stay tied to records, documents, and assumptions so operators can review the work.Operational
Workflows stay repeatable
Teams get clearer next steps without turning every exception into a disconnected one-off.Open GraphForge
Code you can inspect, run, fork, and extend.