GraphQL is a query language designed to build client applications by providing an intuitive and flexible syntax and system for describing their data requirements and interactions.
Using GraphQL in Rust | Shuttle
This article details how to build a GraphQL server in Rust. We will explore using queries, mutations as well as subscriptions to make a fully working endpoint.
Semantic Data Modeling, Graph Query, and SQL, Together at Last?
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.
ggsql: A grammar of graphics for SQL
Introducing ggsql, a grammar of graphics for SQL that lets you describe visualizations directly inside SQL queries.
Specification of graph translators with triple graph grammars
Data integration is a key issue for any integrated set of software tools. A typical CASE environment, for instance, offers tools for the manipulation of requirements and software design documents, and it provides more or less sophisticated assistance for keeping these documents in a consistent state. Up to now, almost all data consistency observing or preserving integration tools are hand-crafted due to the lack of generic implementation frameworks and the absence of adequate specification formalisms. Triple graph grammars are intended to fill this gap and to support the specification of interdependencies between graph-like data structures on a very high level. Furthermore, they are the fundamentals of a new machinery for the production of batch-oriented as well as incrementally working data integration tools.
Documentation — Terminal Graph
Download Terminal Graph beta, learn the shortcuts, nodes, and dataflow model.
Against SQL
But SQL is the only widely-used implementation of the relational model, and it is:
Open Graph protocol
The Open Graph protocol enables any web page to become a rich object in a social graph.
surrealdb/surrealdb
A scalable, distributed, collaborative, document-graph database, for the realtime web
PostgreSQL Extensions or Protocols: Architecture Roulette
Should new infrastructure use PostgreSQL as a query engine, or aim for protocol compatibility instead?
Your Data Fits in Memory (GraphD Part 1)
We need a fast way to query multiple potentially large sets of data on-demand at interactive speeds. Sometimes the easiest solution to a hard problem is to build the right tool for the job.
Who needs Graphviz when you can build it yourself?
Exploring a new layout algorithm for control flow graphs.
Haystack: A Platform for Authoring End User Semantic Web Applications
The Semantic Web promises to open innumerable opportunities for automation and information retrieval by standardizing the protocols for metadata exchange. However, just as the success of the World Wide Web can be attributed to the ease of use and ubiquity of Web browsers, we believe that the unfolding of the Semantic Web vision depends on users getting powerful but easy-to-use tools for managing their information. But unlike HTML, which can be easily edited in any text editor, RDF is more complicated to author and does not have an obvious presentation mechanism. Previous work has concentrated on the ideas of generic RDF graph visualization and RDF Schema-based form generation. In this paper, we present a comprehensive platform for constructing end user applications that create, manipulate, and visualize arbitrary RDF-encoded information, adding another layer to the abstraction cake. We discuss a programming environment specifically designed for manipulating RDF and introduce user interface concepts on top that allow the developer to quickly assemble applications that are based on RDF data models. Also, because user interface specifications and program logic are themselves describable in RDF, applications built upon our framework enjoy properties such as network updatability, extensibility, and end user customizability – all desirable characteristics in the spirit of the Semantic Web.
Sigma.js
a JavaScript library aimed at visualizing graphs of thousands of nodes and edges
