TypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level as opposed to join-tables, columns, documents, vertices, edges, and properties.
 
TypeDB allows you to model your domain using the well-known Entity-Relationship model. It is composed of entity types, relation types, and attribute types, with the introduction of role types. TypeDB allows you to leverage the full expressivity of the ER model, and describe your schema through first normal form.
 
Types provide a way to describe the logical structures of your data, allowing TypeDB to validate that your code inserts and queries data correctly. Query validation goes beyond static type-checking, and includes logical validation of meaningless queries. With strict type-checking errors, you have a dataset that you can trust.
 
TypeDB encodes your data for logical interpretation by a reasoning engine. It enables type-inference and rule-inference, which create logical abstractions of data. This allows the discovery of facts and patterns that would otherwise be too hard to find; and complex queries become much simpler.
 
TypeDB's API is provided through a gRPC client, providing bi-directional streaming, compression, and strong message typing, that REST APIs could not provide. TypeDB Clients are delivered as libraries in dedicated languages that provide stateful objects, Session and Transactions, for you to interact with the database programmatically.

TypeDB is a strongly-typed database with a rich and logical type system. TypeDB empowers you to tackle complex problems, and TypeQL is its query language. TypeDB allows you to model your domain based on logical and object-oriented principles. Composed of entity, relationship, and attribute types, as well as type hierarchies, roles, and rules, TypeDB allows you to think higher-level as opposed to join-tables, columns, documents, vertices, edges, and properties.

TypeDB - A strongly-typed database

Logseq is a platform for knowledge management and collaboration. It focuses on privacy, longevity, and user control. The server will never store or analyze your private notes. It works on top of local plain-text Markdown and Org-mode files. Use it to write, organize and share your thoughts, keep your to-do list, and build your own digital garden. It provides support to organize your tasks and projects with built-in workflow commands. 

Logseq - Platform for knowledge management and collaboration.

Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.
Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Rubrix is designed to close this gap, enabling you to iterate as much as you need.

RUBRIX -  Python framework to explore, label, and monitor data for NLP

A personal knowledge base with a focus on connections. The personal knowledge base (PKB) is basically a wiki system for personal use. Unlike a public wiki which most often focuses on representing facts, the PKB can contain subjective material relevant to the person or persons using the PKB. Therefore the desired properties of a PKB are equivalent to those of the personal wiki.

Geist - A personal knowledge base with a focus on connections

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TypeDB - A strongly-typed database

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