Graphviz
6.4#9 in graph visualization tools softwareFree planFree planAPILinuxmacOSSelf-hosted
Visit| Fact | Graphviz | Linkurious |
|---|---|---|
| Integrations | The external resources page lists editor plugins and language bindings, including Python, Go, Java, Rust, and others. | Supported graph databases and layers include Neo4j, Amazon Neptune, Azure Cosmos DB, Memgraph, and Google Spanner Graph. |
| Purpose | Graphviz is open-source graph visualization software for representing structural information as diagrams of graphs and networks. | Linkurious provides graph-powered decision intelligence and visualization tools for exploring complex connected data. |
| Security | The download page provides SHA-256 links for listed Windows installers and archives. | The self-managed platform supports authentication methods including Azure AD, LDAP, SSO, and SAML2, plus fine-grained access rights. |
| Support | Users can ask questions and discuss Graphviz in the project forum, and report or view bugs on its issue tracker. | The company offers online documentation, on-demand Linkurious Academy training, a support ticket system, and dedicated customer success or solutions engineering support depending on the plan. |
| Use cases | The project identifies networking, bioinformatics, software engineering, database and web design, and machine learning as application areas for graph visualization. | Linkurious lists financial crime, fraud, AML/CTF, cybersecurity, law enforcement and intelligence, supply chain, network operations, and knowledge graphs as use cases. |
Graphviz suits people who want to describe and render structural relationships as diagrams, including in the listed application areas. Its text-based input and layout controls may appeal to developers and other users who want customizable graph visuals.
You want what its maker publishes above — check its page for the details.