Choose which types appear
Show or hide specific resource types to focus on what matters.
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RDF Visualizer
Open an RDF file with a single click. See the high-level structure, then dig into your perfect subgraph. Filter out types or run validation with ease.
One-time purchase: $19.99.
Skip the complex Docker commands. Open RDF right in your browser.
One tool. Covers the basics.
Just trying to open an RDF file, but keep ending up in dense specifications? Tired of switching between tools for different formats and tasks? It can be hard to know where to start, let alone which tool to use.
And RDF itself is hard to read. Names, dates, and other attributes sit alongside connections between resources, making it easy to lose the structure in the details.
RDF Visualizer brings the basics together: open common RDF formats, check the file, inspect its metadata, and explore it through graphs and tables. Attributes become readable columns and details, while clusters help you follow the relationships. Less time figuring out the tooling. More time understanding your data.
RDF/XMLTurtleN-Triples
N-QuadsTriGJSON-LD
RDF VisualizerImport · Validate · Inspect
Clear relationships
Readable attributes
From graph to subgraph
Focus on what matters
Craft your perfect subgraph with controls that keep dense RDF graphs readable.
Dig into a subgraph
Click a node or predicate to easily explore a focused subgraph.
See details without losing your place
Hover over a node to see its attributes without interrupting your exploration.
Focus on relationships
Toggle regular data to show attributes or hide them for a clearer view of connections.
Regular data versus typed data
Easily separate attributes from relationships
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.
Attribute relationships become context
Labels, names, identifiers, dates, and other descriptive values stay available, but they do not have to crowd every graph view.
Typed relationships stay visible
Class membership and resource-to-resource predicates remain easy to scan, filter, and follow across the RDF graph.
Filtering becomes practical
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
The table is not an afterthought.
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.
Export filtered graphs as SVG and filtered table data as CSV with a single click.
Novel clustering algorithm
Knowledge naturally congregates in clusters.
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.
Theirs
Hairy mess
Ours
Clean aggregated clusters
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.
Import validation
Find RDF problems before they disappear into the graph.
Every import is checked for RDF syntax problems, parser repairs, and common data-quality concerns. A dedicated validation report separates fatal errors from warnings and informational lint, with the affected statements kept close at hand.
See whether the complete file parsed, understand any recovery RDF Visualizer performed, filter repeated findings by category, and export the report for follow-up—all.
customers.ttl
Imported with findings
ValidRDF syntax
2Warnings
4Info
Warning
Literal does not match its datatype
An xsd:date value contains an invalid calendar date.
Warning
Relative IRI used the local file base
Add an explicit base IRI to keep identifiers portable.
Info
Predicate has mixed value kinds
The same predicate links to both literals and resources.
Own the software
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.
Get access to RDF Visualizer
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.