nbextensions variable inspector

The nbextensions variable inspector exposes a deterministic view of extension state in Jupyter environments. It enumerates installed extensions, locates their public variable namespaces, and collects current values when accessible. This supports extension authors, notebook administrators, and data scientists who need visibility into runtime configuration, state drift, and behavior without modifying notebook code or user data. The output is structured for audit trails, reproducibility, and automated tooling.
Conceptually, the tool maps each extension to its variable namespace, captures value types and representative samples, and presents them in a structured, exportable format. It relies on kernel-side inspection and safe representations to handle complex objects, large collections, and non-serializable values, avoiding crashes while preserving useful metadata such as type, size, and origin.
Unique value propositions include depth-limited inspection, real-time or on-demand snapshots, and straightforward export to JSON or CSV. Use cases span debugging misconfigurations, validating extension updates, auditing configurations across teams, and supporting reproducible notebook workflows in research, teaching, and production environments.
Core features include extension enumeration, per-variable metadata (name, type, sample value, and scope), optional filters by extension or name, depth control, and export options. It does not modify runtime state; it operates read-only and is suitable for governance, incident response, and developer productivity in notebook-driven work.