GXL viewer

A lightweight GXL viewer for developers and researchers to inspect Graph Exchange Language data, facilitating quick understanding of node relationships and edge connections.

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About This Tool

The GXL viewer is a domain-focused tool for developers, researchers, and data engineers who work with Graph eXchange Language (GXL) files. It accepts GXL documents, validates their structure, and builds an in-memory graph representation to enable rapid inspection of topology, node attributes, and edge relationships.
Conceptually, it performs token-level XML parsing, schema-aware validation, and graph construction. It then exposes a structured data model with nodes, edges, and metadata, allowing downstream analysis or scripted processing without requiring a browser UI.
Unique differentiators include strict GXL compliance, scalable graph parsing for larger graphs, and deterministic outputs suitable for reproducible research. It supports common GXL constructs like nodes, edges, attributes, and graphs, plus optional subgraph handling.
Use cases include validating incoming GXL feeds, preparing graphs for algorithm experiments, and generating visualization-ready datasets for reporting.

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How to Use

Provide inputs: supply a GXL file or inline GXL content.
Start processing: run the parser to validate and build the graph model.
Inspect outputs: review node and edge lists, IDs, and attributes.
Apply analysis: compute metrics or filter the graph via API or configuration.
Export results: output JSON/CSV or feed into downstream pipelines.

Frequently Asked Questions

Find Quick Answers

What formats does it support?

The tool accepts Graph Exchange Language (GXL) XML representations, including nodes, edges, attributes, and graphs. It validates structure, preserves graph topology, and exposes a consistent data model for downstream processing.

Can it handle large graphs?

Yes, the viewer uses streaming parsing and a memory-efficient graph representation to scale with graph size. For very large graphs, it supports chunked processing and incremental exports to maintain performance.

Is the output deterministic?

Yes. Given the same GXL input, parsing order, graph selection, and attribute handling are deterministic, yielding identical node/edge lists and attribute values across runs.

Can outputs be integrated with other tools?

Yes. It can export structured data as JSON or CSV and provides API hooks for scripting, enabling integration into data pipelines, validation suites, or visualization workflows.

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