Import local RDF files
Choose an RDF/XML, Turtle, N-Triples, N-Quads, TriG, or JSON-LD file and render it directly in the browser.
Works Offline
Import RDF files, inspect graph metadata, navigate dense linked data through clean clusters, and let RDF Visualizer automatically turn typed resources into readable tables.
One-time purchase: $19.99.
RDF Visualizer is built for messy relational data: load the file, scan high-level metadata, then switch between graph and table views for instance data depending on what you need to understand.
Choose an RDF/XML, Turtle, N-Triples, N-Quads, TriG, or JSON-LD file and render it directly in the browser.
RDF Visualizer scans each file and creates indexes over resources, predicates, types, and literals. It works on large RDF datasets.
Large RDF graphs become navigable groups that you can open, scan, and drill into without starting from a tangled canvas.
When RDF starts behaving like records, RDF Visualizer detects useful attributes and displays resources with inferred columns plus relationship summaries.
Regular data versus typed data
RDF often mixes two very different ideas: facts that describe a thing, and links between things. RDF Visualizer automatically detects typed resources and treats literal-like predicates as attribute relationships, so the graph can focus on the relationships that matter.
Labels, names, identifiers, dates, and other descriptive values stay available, but they do not have to crowd every graph view.
Class membership and resource-to-resource predicates remain easy to scan, filter, and follow across the RDF graph.
Toggle regular data on or off to move between a complete graph and a cleaner view of semantic structure.
| Resource | Label | Notation | Links |
|---|---|---|---|
| ChEBI_82545 | 2,4,6-Trimethylaniline | 82545 | 7 connections |
| ChEBI_7a825038... | Concept group 20 | more_specific_than | 11 connections |
| ChEBI_fc69ddf... | Chemical entity | inScheme | 14 connections |
Built-in table view
Those attribute relationships become useful columns automatically. Search across rows, reorder columns, filter individual columns, and move between table rows and graph relationships without rebuilding the dataset in another tool.
Novel clustering algorithm
Most RDF graph viewers start by showing every connection at once. That can be useful for tiny files, but real linked data often turns into a hairy mess. RDF Visualizer groups related knowledge into clusters, then lets you drill down as the structure becomes relevant.
The clustering view keeps the big picture intact while preserving a path into the details. Start with semantic neighborhoods, open a cluster, then switch naturally into readable tables when resources share attributes.
When you purchase RDF Visualizer, you get your own copy of the software: a self-contained browser app you can download, keep, and run offline. Your files stay on your machine, and we do not require an always-online account just to use the tool.
One-time purchase: $19.99.
Pay once with Stripe and get the browser-based RDF visualizer. This is not an always-online SaaS subscription — the app runs entirely in your browser.
Satisfaction guaranteed. Email [email protected] for a refund, no questions asked.