Terraform without the state file bottleneck.

Stategraph replaces the flat state file with a database-backed graph. Independent changes can run in parallel, and the state becomes queryable and auditable. No code changes.

Related contents:

• Why We're Building Stategraph: Terraform State as a Distributed Systems Problem @ Stategraph.

🕸 WebGL Graph Visualizations for React. WebGL-Powered Open-Source Network Graph Visualization.

a high-performance network graph visualization built in WebGL for React.

• Reagraph @ GitHub.

Native Graph-Vector Database.

HelixDB is a powerful, open-source, graph-vector database built in Rust for intelligent data storage for RAG and AI.

• HelixDB @ GitHub.

An embeddable, scalable, extremely fast graph database.

Embeddable property graph database management system built for query speed and scalability. Implements Cypher. Kuzu is an embedded graph database built for query speed and scalability. Kuzu is optimized for handling complex analytical workloads on very large databases and provides a set of retrieval features, such as a full text search and vector indices. Our core feature set includes:

• Kuzu @ GitHub.

Related contents:

• Fully In-Browser Graph RAG with Kuzu-Wasm @ Kuzu.

AI Assistant. Knowledge Graph based RAG built with TiDB Serverless Vector Storage and LlamaIndex.

An open source GraphRAG (Knowledge Graph) built on top of TiDB Vector and LlamaIndex and DSPy. pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage.

• autoflow @ GitHub.

Graph drawing library for JavaScript.

VivaGraphJS is designed to be extensible and to support different rendering engines and layout algorithms. Underlying algorithms have been broken out into ngraph.

AgensGraph is a cutting-edge multi-model graph database designed for modern complex data environments. By supporting both relational and graph data models simultaneously, AgensGraph allows developers to seamlessly integrate legacy relational data with the flexible graph data model within a single database. AgensGraph is built on the robust PostgreSQL RDBMS, providing a highly reliable, fully-featured platform ready for enterprise use.

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Graph Data Processing & Analytics for Relational Database.

Apache AGE® is a PostgreSQL extension that provides graph database functionality. Graph database optimized for fast analysis and real-time data processing. It is provided as an extension to PostgreSQL.

AGE @ GitHub.

Graph Database CLI based on PostgreSQL psql.

AgeSQL is a command-line interface (CLI) client for PostgreSQL that extends its capabilities to support Cypher queries along with traditional SQL. This tool leverages the Age extension for PostgreSQL, which enables graph queries within the database.

The aim of AgeSQL is to create a CLI tool that operates similarly to the existing PostgreSQL CLI (psql) and provides complete functionality for working with graph databases. In addition, AgeSQL wraps Cypher commands to simplify their usage within PostgreSQL.

Find the graphic you need. From Data to Viz leads you to the most appropriate graph for your data. It links to the code to build it and lists common caveats you should avoid.

Crack your data into pieces. Seamlessly visualize your JSON data instantly into graphs.

JSON Crack @ GitHub.

Graph Database Management System. Neo4j Graph Data Platform. Blazing-Fast Graph, Petabyte Scale. With proven trillion+ entity performance, developers, data scientists, and enterprises rely on Neo4j as the top choice for high-performance, scalable analytics, intelligent app development, and advanced AI/ML pipelines.

Scalable, Distributed, Low Latency, High Throughput Graph Database.