lore VS ent

Compare lore vs ent and see what are their differences.

lore

Light Object-Relational Environment (LORE) provides a simple and lightweight pseudo-ORM/pseudo-struct-mapping environment for Go (by abrahambotros)
ORM
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lore ent
- 145
14 14,930
- 1.0%
0.0 8.1
over 6 years ago 7 days ago
Go Go
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

lore

Posts with mentions or reviews of lore. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning lore yet.
Tracking mentions began in Dec 2020.

ent

Posts with mentions or reviews of ent. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-21.

What are some alternatives?

When comparing lore and ent you can also consider the following projects:

upper.io/db - Data access layer for PostgreSQL, CockroachDB, MySQL, SQLite and MongoDB with ORM-like features.

GORM - The fantastic ORM library for Golang, aims to be developer friendly

SQLBoiler - Generate a Go ORM tailored to your database schema.

go-queryset - 100% type-safe ORM for Go (Golang) with code generation and MySQL, PostgreSQL, Sqlite3, SQL Server support. GORM under the hood.

sqlc - Generate type-safe code from SQL

QBS - QBS stands for Query By Struct. A Go ORM.

sqlx - general purpose extensions to golang's database/sql

Zoom - A blazing-fast datastore and querying engine for Go built on Redis.

Xorm

gorp - Go Relational Persistence - an ORM-ish library for Go

go-pg - Golang ORM with focus on PostgreSQL features and performance