v0.1.1

• Follow one exact predicate statement from its named graph without adding an
  entire connection page to the canvas.
• Start endpoint exploration at any valid resource IRI and make the selected
  starting resource the initial canvas focus.
• Clarify the endpoint connection flow and distinguish focused exploration from
  adding all visible statements.

RDFscope for VS Code 0.1.1 Preview

Second preview release of RDFscope for VS Code. This release contains the VS Code extension; it does not replace the standalone application's releases.

Improvements

• Follow one exact predicate statement from the connection browser without adding every matching statement.
• Preserve the statement's predicate and named-graph identity when adding it to the canvas.

Install

1. Download rdfscope-0.1.1-preview.vsix below.
2. In VS Code, run Extensions: Install from VSIX and select the downloaded file.
3. Right-click a .ttl, .rdf, .trig, .nt, .nq, or .jsonld file and choose RDFscope: Explore RDF File.

Requires VS Code 1.95 or newer. The text editor remains the default. Browsing does not modify the RDF source.

Preview limits

Files are limited to 10 MB. The canvas shows at most 200 resources and 2,000 edges; search and SPARQL can explore beyond the canvas. Endpoint connections remain available in the standalone application rather than the extension. Remote JSON-LD contexts are not fetched. Save a .rdfscope.json workspace to keep your exploration before closing its tab.

Validation

Built from source with the locked Rust and npm dependencies. Passed Rust core and browser tests, Clippy, formatting, extension unit tests, webview CSP/worker/WASM integration checks, and browser regression tests covering queries, workspace restore, exports, and all advertised RDF formats. The VSIX is marked Preview and packaged for VS Code's pre-release channel. A SHA-256 checksum is included below.

RDFscope for VS Code 0.1.0 Preview

First preview release of RDFscope for VS Code. This release contains the VS Code extension; it does not replace the standalone application's releases.

Browse local Turtle and RDF files, follow graph connections, inspect exact RDF terms and named graphs, and run read-only SPARQL. Queries use the full pane with a pinned Run button; resource inspection opens in a closable side drawer. The interface follows your VS Code theme. The bundled Rust/WebAssembly engine runs locally without a server or telemetry.

Install

1. Download rdfscope-0.1.0-preview.vsix below.
2. In VS Code, run Extensions: Install from VSIX and select the downloaded file.
3. Right-click a .ttl, .rdf, .trig, .nt, .nq, or .jsonld file and choose RDFscope: Explore RDF File.

Requires VS Code 1.95 or newer. The text editor remains the default. Browsing does not modify the RDF source.

Preview limits

Files are limited to 10 MB. The canvas shows at most 200 resources and 2,000 edges; search and SPARQL can explore beyond the canvas. Remote JSON-LD contexts are not fetched. Save a .rdfscope.json workspace to keep your exploration before closing its tab. Reloading the source resets the canvas.

Validation

Built from source with Rust 1.98.0. Passed extension unit tests, frontend unit tests and formatting, extension integration checks under the webview CSP with the actual bundled worker and WebAssembly engine, and browser regression tests covering queries, workspace restore, exports, and all advertised RDF formats.

The VSIX is marked Preview and packaged for VS Code's pre-release channel. SHA-256 checksum is included below.

v0.1.0

First public release. RDFscope is early-stage software with alpha maturity;
interfaces and workspace compatibility may change before 1.0.

• Explore local Turtle, TriG, N-Triples, N-Quads, RDF/XML, and JSON-LD files in
  an embedded Oxigraph store and browser interface.
• Search and inspect RDF resources, labels, types, literal values, and named graphs.
• Browse paginated incoming and outgoing connections, filter relationships, and
  arrange, pin, hide, and expand nodes on the canvas.
• Connect to a SPARQL endpoint for live search and neighborhood exploration.
• Run SELECT, ASK, CONSTRUCT, and DESCRIBE queries, and inspect endpoint request traces.
• Save exploration workspaces and export SVG, N-Quads, and query results.
• Install the same standalone application through Cargo, Python binary wheels,
  or platform archives. Source packages include the compiled interface.

Known limits: storage is in memory, only one dataset or endpoint is active per
process, imports are capped at 64 MB, and the canvas shows at most 200 resources
and 2,000 edges. Dedicated path finding, reasoning, SHACL validation, and reliable
cross-request remote blank-node navigation are not provided. See the README for
the complete operating limits.