Great for rapid query development, but no saving/embedding/sharing of visualizations.Ģ.Direct views of your graph data, but requires (technical) Cypher knowledge.Easy to get started, but limited visualizations and styling choices.Although limited in visualization capabilities, I use it daily to rapidly design and optimize Cypher queries. A tool for database developers to run Cypher queries, the Browser lets you render query results in a graph or table format. The Neo4j Browser is likely the first thing you’ll run into when working with Neo4j. Neo4j Browser (Development Tool) (Image credit - Michael Hunger, Neo4j) Now that we have a high-level overview, let’s dive into some of the best graph visualization tools. Note that some tools sit in between two categories, in this case, the tool can be used for both purposes. A structured view of the visualization tool landscape. On the vertical axis, I’ve plotted the product type (a Neo4j product, community project, or enterprise software). In the image below, I organized some of the most popular graph visualization tools by their main category. Reporting tools, to create and organize data reports.Analysis tools, for revealing trends & discrepancies.Exploration tools, to help analysts explore data relationships.Development tools, to help developers work with graphs.I group all graph visualization tools into four main categories: All visualization toolkits were built with a specific purpose in mind, so you’ll have to make sure the tool’s purpose matches your need. Categories of Graph Visualization Toolsīefore we dig into the tools, it’s important to be aware of the categories of tools out there. After reading, you should have an overview of the graph visualization landscape, and (hopefully) find a tool that fits your visualization needs. I group these tools into categories based on their functionality and purpose. In this article, I’m zooming in on some of my favorite tools. Thankfully, a ton of tools have been developed that make graph visualization a cakewalk. When I started working with graph data, I realized it takes significant work to create intuitive graph visualizations.
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