xo VS geocache

Compare xo vs geocache and see what are their differences.

xo

Command line tool to generate idiomatic Go code for SQL databases supporting PostgreSQL, MySQL, SQLite, Oracle, and Microsoft SQL Server (by xo)

geocache

Geocache is an in-memory cache that is suitable for geolocation based applications. (by melihmucuk)
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xo geocache
16 0
3,547 140
0.9% -
6.4 0.0
16 days ago almost 8 years ago
Go Go
MIT License MIT License
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.

xo

Posts with mentions or reviews of xo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-02.
  • Open-sourcing SQX, a way to build flexible database models in Go
    5 projects | news.ycombinator.com | 2 Sep 2023
    i like xo's approach https://github.com/xo/xo but it is as is. I would love if something similar comes along that is used by db practititoners that is actively used and supported.
  • PHP to Golang
    9 projects | /r/golang | 3 Jun 2023
  • Best sqlc alternative for dynamic queries?
    8 projects | /r/golang | 15 May 2023
    I use xo https://github.com/xo/xo . It generates CRUD queries by default so i don't have to write basic queries and it has option to write complex queries like sqlx. Only issue is it is not well documented.
  • Why SQL is right for Infrastructure Management
    6 projects | dev.to | 6 Apr 2023
    SQL is an old, irregular language to work with, but it is better known than HCL and SQL already has it's own Pulumi/CDK in the form of every ORM with introspection (like Javascript's Prisma, Python's Django, Go's XO etc) and QueryBuilder (LINQ, Knex, etc) in whatever programming language you prefer. You probably already know it.
  • Matt Mueller: Building Modern Web Applications Faster With Bud
    5 projects | /r/golang | 3 Aug 2022
    Sorry for the confusion, we're not generating the database client itself, more like generating an ORM around a database client. The ORM takes these database clients as dependencies. It's very similar to the way XO works with it's multi-database support: https://github.com/xo/xo/tree/master/_examples/northwind
  • What’s your preferred setup to work with SQL DB (without ORM) ?
    10 projects | /r/golang | 20 Jul 2022
    i use xo . Reason is i prefer designing schema first and creating golang scaffolding later. Xo takes schema and gives me basic create/update/delete operations by default and i can also generate gocode for any sql queries that i write.
  • Show HN: A Go framework for your projects
    10 projects | news.ycombinator.com | 2 Jul 2022
  • sqlc: Generating go code from sql statements
    4 projects | /r/golang | 17 May 2022
    Thanks for sharing your thoughts! I see that it works best with Postgresql. The other commenter mentioned https://github.com/xo/xo for MySql which might work well.
  • Show HN: A Full-Stack Web Framework Written in Go
    18 projects | news.ycombinator.com | 13 May 2022
    Thanks for your comment and question @onionisfruit. Top-notch handle too!

    >> What are your plans for models and persistence?

    I haven't worked out all the details, but it's going to be some blend of https://github.com/xo/xo and https://sqlc.dev/.

    Design goals:

    1. High-level, type-safe "ORM" that's generated from your database schema.

  • We Went All in on Sqlc/Pgx for Postgres and Go
    31 projects | news.ycombinator.com | 8 Sep 2021
    I'm a big fan of the database first code generator approach to talking to an SQL database, so much so that I wrote pggen[1] (not to be confused with pggen[2], as far as I can tell a sqlc fork, which I just recently learned about).

    I'm a really big partisan of this approach, but I think I'd like to play the devil's advocate here and lay out some of the weaknesses of both a database first approach in general and sqlc in particular.

    All database first approaches struggle with SQL metaprogramming when compared with a query builder library or an ORM. For the most part, this isn't an issue. Just writing SQL and using parameters correctly can get you very far, but there are a few times when you really need it. In particular, faceted search and pagination are both most naturally expressed via runtime metaprogramming of the SQL queries that you want to execute.

    Another drawback is poor support from the database for this kind of approach. I only really know how postgres does here, and I'm not sure how well other databases expose their queries. When writing one of these tools you have to resort to tricks like creating temporary views in order infer the argument and return types of a query. This is mostly opaque to the user, but results in weird stuff bubbling up to the API like the tool not being able to infer nullability of arguments and return values well and not being able to support stuff like RETURNING in statements. sqlc is pretty brilliant because it works around this by reimplementing the whole parser and type checker for postgres in go, which is awesome, but also a lot of work to maintain and potentially subtlety wrong.

    A minor drawback is that you have to retrain your users to write `x = ANY($1)` instead of `x IN ?`. Most ORMs and query builders seem to lean on their metaprogramming abilities to auto-convert array arguments in the host language into tuples. This is terrible and makes it really annoying when you want to actually pass an array into a query with an ORM/query builder, but it's the convention that everyone is used to.

    There are some other issues that most of these tools seem to get wrong, but are not impossible in principle to deal with for a database first code generator. The biggest one is correct handling of migrations. Most of these tools, sqlc included, spit out the straight line "obvious" go code that most people would write to scan some data out of a db. They make a struct, then pass each of the field into Scan by reference to get filled in. This works great until you have a query like `SELECT * FROM foos WHERE field = $1` and then run `ALTER TABLE foos ADD COLUMN new_field text`. Now the deployed server is broken and you need to redeploy really fast as soon as you've run migrations. opendoor/pggen handles this, but I'm not aware of other database first code generators that do (though I could definitely have missed one).

    Also the article is missing a few more tools in this space. https://github.com/xo/xo. https://github.com/gnormal/gnorm.

    [1]: https://github.com/opendoor/pggen

geocache

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

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

What are some alternatives?

When comparing xo and geocache you can also consider the following projects:

sqlc - Generate type-safe code from SQL

igor - igor is an abstraction layer for PostgreSQL with a gorm like syntax.

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

prometheus - The Prometheus monitoring system and time series database.

BTrDB - Berkeley Tree Database (BTrDB) server

dat - Go Postgres Data Access Toolkit

tempdb - Key-value store for temporary items :memo:

go-mysql - a powerful mysql toolset with Go

jet - Type safe SQL builder with code generation and automatic query result data mapping

orchestrator - MySQL replication topology manager/visualizer

rqlite - The lightweight, distributed relational database built on SQLite.

groupcache - groupcache is a caching and cache-filling library, intended as a replacement for memcached in many cases.