Apache Jena
Spring Framework
Spark Mail
Apache Struts
Grails
Eclipse Jetty
Eclipse RAP
Hibernate
SQLAlchemy
Hibernate
Sequelize
Entity Framework
GraphQL
Prisma
DBeaver
TypeORM
Apache Jena SQLAlchemyBased on our record, Apache Jena should be more popular than SQLAlchemy. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another good one I just started working with is AnzoGraph. Also, a product but (at least according to a colleague, I'm just starting to use it myself) you can also do quite a bit of serious work with the community version. Also, GraphDB from OntoText and TBD from Apache Jena as well. Source: over 1 year ago
Completely agree. I'm hoping to one day see Jena [0] compiled to a native image [1]. Having a persistent triple store with transactions, and an inference api in owl/rdfs/shacl with a prolog-like "logic programming engine", running in process like SQLite, would be awesome. [0] https://jena.apache.org/ [1] https://www.graalvm.org/22.0/reference-manual/native-image/. - Source: Hacker News / almost 2 years ago
The first thing you need to decide is how to link your ontology with a programming language. Speaking very broadly there are 2 approaches: 1) Use a library like Apache Jena (for Java) or OWLReady2 (for Python). What these libraries do is enable you to take your model and create objects in your Java or Python program to manipulate it (query it, create instances of classes, set property values, etc.). Source: over 2 years ago
The semantic web is more than just front end. Apache jena is an example of a semantic web library. Source: over 2 years ago
I worked in a semweb company ~10 years ago - https://jena.apache.org/ as a general starting point is a useful library. I remember distinctly OWLIM https://www.w3.org/2001/sw/wiki/Owlim as a great triple store. - Source: Hacker News / about 3 years ago
Under the hood, LangChain works with SQLAlchemy to connect to various types of databases. This means it can work with many popular databases, like MS SQL, MySQL, MariaDB, PostgreSQL, Oracle SQL, and SQLite. To learn more about connecting LangChain to your specific database, you can check the SQLAlchemy documentation for helpful information and requirements. - Source: dev.to / about 1 year ago
SQLModel is a library for interacting with SQL databases from Python code, using Python objects. It is designed to be intuitive, easy-to-use, highly compatible, and robust. It is powered by Pydantic and SQLAlchemy and relies on Python type annotations for maximum simplicity. The key features are: it's intuitive to write and use, highly compatible, extensible, and minimizes code duplication. The library does a lot... - Source: dev.to / over 1 year ago
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
Hibernate - Hibernate an open source Java persistence framework project.
Spark Mail - Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues
Sequelize - Provides access to a MySQL database by mapping database entries to objects and vice-versa.
Apache Struts - Apache Struts is an open-source web application framework for developing Java EE web applications.
Entity Framework - See Comparison of Entity Framework vs NHibernate.