Our great sponsors
pgx | ent | |
---|---|---|
70 | 145 | |
9,234 | 14,763 | |
- | 1.5% | |
9.2 | 8.3 | |
8 days 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.
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.
pgx
Posts with mentions or reviews of pgx.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-06.
-
The DDD Hamburger for Go
The infrastructure layer contains the concrete implementation of the repository domain interface ActivityRepository in the struct DbActivityRepository. This repository implementation uses the Postgres driver pgx and plain SQL to store the activity in the database. It uses the database transaction from the context, since the transaction was initiated by the application service.
-
Building RESTful API with Hexagonal Architecture in Go
For building the RESTful Point of Sale service API, I've considered and selected a combination of technologies that would work seamlessly together. For handling HTTP requests and responses, using the Gin HTTP web framework would make sense because I think it seems complete and popular among Go community too. To ensure data integrity and persistence, I'm using PostgreSQL database with pgx as the database driver, the reason I choose PostgreSQL because it is the most popular relational database to use in production and offers efficient Go integration. I'm also implementing caching using Redis with go-redis client library, which provides powerful in-memory data storage capabilities.
-
Working with postgres in GO.
If you are willing to commit to working only with Postgres, I highly recommend pgx. Be sure you get the latest version github.com/jackc/pgx/v5. This gives you the full power of interacting with Postgres without going through an intermediate lowest-common-denominator library.
-
How to Use Iris and PostgreSQL for Web Development
It uses pg package and pgx driver under the hood.
-
Could I get a code review?
Starting off, is there any reason you're calling out to the CLI, instead of just using a Postgres driver like pgx? Shelling out to the command line should always be a last resort where possible as a software engineer.
-
Why elixir over Golang
For maintaining state I use PostgreSQL. Driver: https://github.com/jackc/pgx (I use the pgxpools) Along with Sqlc for generating database models and allowing me to focus on just building queries in DBeaver. https://sqlc.dev/
-
Zig now has built-in HTTP server and client in std
Except pgx recommends using their native interface, not database/sql, for performance and extra features [0], so it's not that simple in practice.
[0]: https://github.com/jackc/pgx#choosing-between-the-pgx-and-da...
-
Go Roadmap
pgx is “PostgreSQL driver and toolkit for Go”. Take a look at https://github.com/jackc/pgx
-
sql.DB connection TTLs + aws rds postgresql
the postgres pgx driver supports this usecase: https://github.com/jackc/pgx/issues/676
-
Tools besides Go for a newbie
IDE: use whatever make you productive. I personally use vscode. VCS: git, as golang communities use github heavily as base for many libraries. AFAIK Linter: use staticcheck for linting as it looks like mostly used linting tool in go, supported by many also. In Vscode it will be recommended once you install go plugin. Libraries/Framework: actually the standard libraries already included many things you need, decent enough for your day-to-day development cycles(e.g. `net/http`). But here are things for extra: - Struct fields validator: validator - Http server lib: chi router , httprouter , fasthttp (for non standard http implementations, but fast) - Web Framework: echo , gin , fiber , beego , etc - Http client lib: most already covered by stdlib(net/http), so you rarely need extra lib for this, but if you really need some are: resty - CLI: cobra - Config: godotenv , viper - DB Drivers: sqlx , postgre , sqlite , mysql - nosql: redis , mongodb , elasticsearch - ORM: gorm , entgo , sqlc(codegen) - JS Transpiler: gopherjs - GUI: fyne - grpc: grpc - logging: zerolog - test: testify , gomock , dockertest - and many others you can find here
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.
-
Concurrency Control in Go with Ent ORM and MySQL
In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.
-
Go ORMs Compared
ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.
-
Stop using entgo...please
If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.
The auto migration feature of module seems to have issues processing fields with date/time values. After I spent hours debugging I reached out to their community to see if anyone had this issue. I received no response in their Discord (does not seem very active) and I only received one response on a Github issue I posted on the topic (after over a month of the issue being posted).
- Pocketbase: Open-source back end in 1 file
-
Why Golang instead of Rust to develop the Krater desktop app
The ent orm for golang actually does some useful work for you. https://github.com/ent/ent
- Open-sourcing SQX, a way to build flexible database models in Go
-
Learning Go for Backend/Fullstack development?
Backend Database interaction with entgo
-
Comparing database/sql, GORM, sqlx, and sqlc
Personally, I've used a mix of these tools: GORM, Pop, and ent. I think so far, https://entgo.io/ has to be my favorite. I found the learning curve to be pretty straightforward and like how you can represent fairly complex relationships because of the data model and code generation capabilities they have. Also, automatic migrations with a choice to generate migration files. Although, I don't think there's as big of a community around this tooling.
-
Entkit golang DDD construction platform based on entgo framework
https://github.com/entkit/entkit is an open-source framework built using Go programming language (with entgo) that provides a set of tools to build scalable, secure, and composable software applications. The framework follows the Domain-driven Design (DDD) approach and provides features like code generation, database integration, and business object models to make the software development process faster and more organized.
What are some alternatives?
When comparing pgx and ent you can also consider the following projects:
GORM - The fantastic ORM library for Golang, aims to be developer friendly
sqlx - general purpose extensions to golang's database/sql
pq - Pure Go Postgres driver for database/sql
SQLBoiler - Generate a Go ORM tailored to your database schema.
gomock - GoMock is a mocking framework for the Go programming language.
sqlc - Generate type-safe code from SQL
go-sql-driver/mysql - Go MySQL Driver is a MySQL driver for Go's (golang) database/sql package
migrate - Database migrations. CLI and Golang library.
goqu - SQL builder and query library for golang