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TerminusDB is a distributed, collaborative database designed for building, sharing, versioning, and reasoning on structured data.
The main features of terminusdb/terminusdb are: Experiment and Data Management, Graph Databases.
Projects with overlapping indexed features include: arangodb/arangodb — This project is a multi-model database system designed to store and manage information as documents, graphs, and… bitnine-oss/agensgraph — AgensGraph, a transactional graph database based on PostgreSQL. bodaay/huggingfacemodeldownloader — Simple go utility to download HuggingFace Models and Datasets. cayleygraph/cayley — Cayley is a graph database engine designed for storing and querying interconnected data using a quad-based data model.… clearml/clearml — ClearML is a comprehensive MLOps platform designed to manage the end-to-end machine learning lifecycle, from initial… aimhubio/aim — Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces.…
This project is a multi-model database system designed to store and manage information as documents, graphs, and key-value pairs within a single engine. It functions as a graph database and knowledge graph platform, providing the infrastructure to build, query, and visualize structured data models. By integrating vector search capabilities, the system serves as a vector database that supports retrieval-augmented generation for artificial intelligence applications. The platform distinguishes itself through a unified query language that allows users to perform document lookups, graph traversals
AgensGraph, a transactional graph database based on PostgreSQL
Simple go utility to download HuggingFace Models and Datasets
Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces. It provides a remote tracking server and a comparison UI, functioning as an ML experiment tracker, AI workflow logger, and LLM trace recorder that captures prompts, generations, and tool calls from AI applications. The platform distinguishes itself through a run-based data model with local SQLite storage, real-time metric streaming, and a plugin-based explorer system that supports specialized visual analysis of metrics, images, audio, and text. It offers a Python SDK with cont