kago VS ent

Compare kago vs ent and see what are their differences.

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kago ent
17 145
186 14,930
- 1.0%
1.1 8.1
about 1 year ago 7 days ago
Go Go
BSD 3-clause "New" or "Revised" 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.

kago

Posts with mentions or reviews of kago. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-08.

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 kago and ent you can also consider the following projects:

ksbus - KSBus is a zero-configuration event bus written in Go, designed to facilitate real-time data sharing and synchronization between Go servers, JavaScript clients, and Python. It's particularly useful for building applications that require real-time communication, such as chat applications or live updates.

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

sqddl - sqddl is a zero-configuration database migration tool.

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

sse - Server Sent Events server and client for Golang

sqlc - Generate type-safe code from SQL

env - Idiomatic go environment variable declaration and parsing.

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

sqler - write APIs using direct SQL queries with no hassle, let's rethink about SQL

Xorm

Squirrel - Fluent SQL generation for golang

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