SeaORM

🐚 An async & dynamic ORM for Rust

SeaORM

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SeaORM is a relational ORM to help you build web services in Rust with the familiarity of dynamic languages.

If you like what we do, consider starring, sharing and contributing!

Please help us with maintaining SeaORM by completing the SeaQL Community Survey 2025!

Join our Discord server to chat with other members of the SeaQL community!

Getting Started

• Documentation
• Tutorial
• Cookbook

Integration examples:

• Actix v4 Example
• Axum Example
• GraphQL Example
• jsonrpsee Example
• Loco TODO Example / Loco REST Starter
• Poem Example
• Rocket Example / Rocket OpenAPI Example
• Salvo Example
• Tonic Example
• Seaography Example (Bakery) / Seaography Example (Sakila)

Features

1. Async

   Relying on SQLx, SeaORM is a new library with async support from day 1.

2. Dynamic

   Built upon SeaQuery, SeaORM allows you to build complex dynamic queries.

3. Service Oriented

   Quickly build services that join, filter, sort and paginate data in REST, GraphQL and gRPC APIs.

4. Production Ready

   SeaORM is feature-rich, well-tested and used in production by companies and startups.

A quick taste of SeaORM

Let's have a quick walk through of the unique features of SeaORM.

Entity

You don't have to write this by hand! Entity files can be generated from an existing database with sea-orm-cli.

use sea_orm::entity::prelude::*;

#[derive(Clone, Debug, PartialEq, DeriveEntityModel)]
#[sea_orm(table_name = "cake")]
pub struct Model {
    #[sea_orm(primary_key)]
    pub id: i32,
    pub name: String,
}

#[derive(Copy, Clone, Debug, EnumIter, DeriveRelation)]
pub enum Relation {
    #[sea_orm(has_many = "super::fruit::Entity")]
    Fruit,
}

impl Related<super::fruit::Entity> for Entity {
    fn to() -> RelationDef {
        Relation::Fruit.def()
    }
}

Select

SeaORM models 1-N and M-N relationships at the Entity level, letting you traverse many-to-many links through a junction table in a single call.

// find all models
let cakes: Vec<cake::Model> = Cake::find().all(db).await?;

// find and filter
let chocolate: Vec<cake::Model> = Cake::find()
    .filter(cake::Column::Name.contains("chocolate"))
    .all(db)
    .await?;

// find one model
let cheese: Option<cake::Model> = Cake::find_by_id(1).one(db).await?;
let cheese: cake::Model = cheese.unwrap();

// find related models (lazy)
let fruits: Vec<fruit::Model> = cheese.find_related(Fruit).all(db).await?;

// find related models (eager): for 1-1 relations
let cake_with_fruit: Vec<(cake::Model, Option<fruit::Model>)> =
    Cake::find().find_also_related(Fruit).all(db).await?;

// find related models (eager): works for both 1-N and M-N relations
let cake_with_fruits: Vec<(cake::Model, Vec<fruit::Model>)> = Cake::find()
    .find_with_related(Fruit) // for M-N relations, two joins are performed
    .all(db) // rows are automatically consolidated by left entity
    .await?;

Nested Select

Partial models prevent overfetching by letting you querying only the fields you need; it also makes writing deeply nested relational queries simple.

use sea_orm::DerivePartialModel;

#[derive(DerivePartialModel)]
#[sea_orm(entity = "cake::Entity")]
struct CakeWithFruit {
    id: i32,
    name: String,
    #[sea_orm(nested)]
    fruit: Option<fruit::Model>, // this can be a regular or another partial model
}

let cakes: Vec<CakeWithFruit> = Cake::find()
    .left_join(fruit::Entity) // no need to specify join condition
    .into_partial_model() // only the columns in the partial model will be selected
    .all(db)
    .await?;

Insert

SeaORM's ActiveModel lets you work directly with Rust data structures and persist them through a simple API. It's easy to insert large batches of rows from different data sources.

let apple = fruit::ActiveModel {
    name: Set("Apple".to_owned()),
    ..Default::default() // no need to set primary key
};

let pear = fruit::ActiveModel {
    name: Set("Pear".to_owned()),
    ..Default::default()
};

// insert one: Active Record style
let apple = apple.insert(db).await?;
apple.id == 1;

// insert one: repository style
let result = Fruit::insert(apple).exec(db).await?;
result.last_insert_id == 1;

// insert many returning last insert id
let result = Fruit::insert_many([apple, pear]).exec(db).await?;
result.last_insert_id == Some(2);

Insert (advanced)

You can take advantage of database specific features to perform upsert and idempotent insert.

// insert many with returning (if supported by database)
let models: Vec<fruit::Model> = Fruit::insert_many([apple, pear])
    .exec_with_returning(db)
    .await?;
models[0]
    == fruit::Model {
        id: 1, // database assigned value
        name: "Apple".to_owned(),
        cake_id: None,
    };

// insert with ON CONFLICT on primary key do nothing, with MySQL specific polyfill
let result = Fruit::insert_many([apple, pear])
    .on_conflict_do_nothing()
    .exec(db)
    .await?;

matches!(result, TryInsertResult::Conflicted);

Update

ActiveModel avoids race conditions by updating only the fields you've changed, never overwriting untouched columns. You can also craft complex bulk update queries with a fluent query building API.

use fruit::Column::CakeId;
use sea_orm::sea_query::{Expr, Value};

let pear: Option<fruit::Model> = Fruit::find_by_id(1).one(db).await?;
let mut pear: fruit::ActiveModel = pear.unwrap().into();

pear.name = Set("Sweet pear".to_owned()); // update value of a single field

// update one: only changed columns will be updated
let pear: fruit::Model = pear.update(db).await?;

// update many: UPDATE "fruit" SET "cake_id" = "cake_id" + 2
//               WHERE "fruit"."name" LIKE '%Apple%'
Fruit::update_many()
    .col_expr(CakeId, Expr::col(CakeId).add(Expr::val(2)))
    .filter(fruit::Column::Name.contains("Apple"))
    .exec(db)
    .await?;

Save

You can perform "insert or update" operation with ActiveModel, making it easy to compose transactional operations.

let banana = fruit::ActiveModel {
    id: NotSet,
    name: Set("Banana".to_owned()),
    ..Default::default()
};

// create, because primary key `id` is `NotSet`
let mut banana = banana.save(db).await?;

banana.id == Unchanged(2);
banana.name = Set("Banana Mongo".to_owned());

// update, because primary key `id` is present
let banana = banana.save(db).await?;

Delete

The same ActiveModel API consistent with insert and update.

// delete one: Active Record style
let orange: Option<fruit::Model> = Fruit::find_by_id(1).one(db).await?;
let orange: fruit::Model = orange.unwrap();
orange.delete(db).await?;

// delete one: repository style
let orange = fruit::ActiveModel {
    id: Set(2),
    ..Default::default()
};
fruit::Entity::delete(orange).exec(db).await?;

// delete many: DELETE FROM "fruit" WHERE "fruit"."name" LIKE '%Orange%'
fruit::Entity::delete_many()
    .filter(fruit::Column::Name.contains("Orange"))
    .exec(db)
    .await?;

Ergonomic Raw SQL

Let SeaORM handle 90% of all the transactional queries. When your query is too complex to express, SeaORM still offer convenience in writing raw SQL.

The raw_sql! macro is like the format! macro but without the risk of SQL injection. It supports nested parameter interpolation, array and tuple expansion, and even repeating group, offering great flexibility in crafting complex queries.

let item = Item { id: 2 }; // nested parameter access

let cake: Option<cake::Model> = Cake::find()
    .from_raw_sql(raw_sql!(
        Sqlite,
        r#"SELECT "id", "name" FROM "cake" WHERE id = {item.id}"#
    ))
    .one(db)
    .await?;

#[derive(FromQueryResult)]
struct CakeWithBakery {
    name: String,
    #[sea_orm(nested)]
    bakery: Option<Bakery>,
}

#[derive(FromQueryResult)]
struct Bakery {
    #[sea_orm(alias = "bakery_name")]
    name: String,
}

let cake_ids = [2, 3, 4]; // expanded by the `..` operator

// can use many APIs with raw SQL, including nested select
let cake: Option<CakeWithBakery> = CakeWithBakery::find_by_statement(raw_sql!(
    Sqlite,
    r#"SELECT "cake"."name", "bakery"."name" AS "bakery_name"
       FROM "cake"
       LEFT JOIN "bakery" ON "cake"."bakery_id" = "bakery"."id"
       WHERE "cake"."id" IN ({..cake_ids})"#
))
.one(db)
.await?;

🧭 Seaography: instant GraphQL API

Seaography is a GraphQL framework built for SeaORM. Seaography allows you to build GraphQL resolvers quickly. With just a few commands, you can launch a fullly-featured GraphQL server from SeaORM entities, complete with filter, pagination, relational queries and mutations!

Look at the Seaography Example to learn more.

🖥️ SeaORM Pro: Professional Admin Panel

SeaORM Pro is an admin panel solution allowing you to quickly and easily launch an admin panel for your application - frontend development skills not required, but certainly nice to have!

SeaORM Pro will be updated to support the latest features in SeaORM 2.0.

Features:

• Full CRUD
• Built on React + GraphQL
• Built-in GraphQL resolver
• Customize the UI with TOML config
• Custom GraphQL endpoints (new in 2.0)
• Role Based Access Control (new in 2.0)

Learn More

• Example Repo
• Getting Started with Loco
• Getting Started with Axum

SQL Server Support

SQL Server for SeaORM offers the same SeaORM API for MSSQL. We ported all test cases and examples, complemented by MSSQL specific documentation. If you are building enterprise software, you can request commercial access. It is currently based on SeaORM 1.0, but we will offer free upgrade to existing users when SeaORM 2.0 is finalized.

Releases

SeaORM 2.0 has reached its release candidate phase. We'd love for you to try it out and help shape the final release by sharing your feedback.

SeaORM 2.0 is shaping up to be our most significant release yet - with a few breaking changes, plenty of enhancements, and a clear focus on developer experience.

• A Sneak Peek at SeaORM 2.0
• SeaORM 2.0: A closer look

If you make extensive use of SeaORM's underlying query builder, we recommend checking out our blog post on SeaQuery 1.0 release:

• The road to SeaQuery 1.0

It doesn't mean that SeaORM is 'done', we've designed an architecture to allow us to deliver new features without major breaking changes.

• Change Log

License

Licensed under either of

• Apache License, Version 2.0 (LICENSE-APACHE or http://www.apache.org/licenses/LICENSE-2.0)
• MIT license (LICENSE-MIT or http://opensource.org/licenses/MIT)

at your option.

Contribution

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.

We invite you to participate, contribute and together help build Rust's future.

A big shout out to our contributors!

Who's using SeaORM?

SeaORM is trusted by companies and startups for both internal tools and public‑facing applications, thanks to its ergonomics and the familiarity it brings from dynamic languages. Built on async Rust, it combines high performance and a strong type system without sacrificing developer productivity.

Here is a short list of awesome open source software built with SeaORM. Full list here. Feel free to submit yours!

Project	GitHub	Tagline
Zed		A high-performance, multiplayer code editor
OpenObserve		Open-source observability platform
RisingWave		Stream processing and management platform
LLDAP		A light LDAP server for user management
Warpgate		Smart SSH bastion that works with any SSH client
Svix		The enterprise ready webhooks service
Ryot		The only self hosted tracker you will ever need
Lapdev		Self-hosted remote development enviroment
System Initiative		DevOps Automation Platform
OctoBase		A light-weight, scalable, offline collaborative data backend

Sponsorship

SeaQL.org is an independent open-source organization run by passionate developers. If you enjoy using our libraries, please star and share our repositories. If you feel generous, a small donation via GitHub Sponsor will be greatly appreciated, and goes a long way towards sustaining the organization.

Gold Sponsors

QDX pioneers quantum dynamics-powered drug discovery, leveraging AI and supercomputing to accelerate molecular modeling. We're immensely grateful to QDX for sponsoring the development of SeaORM, the SQL toolkit that powers their data engineering workflows.

Silver Sponsors

We're grateful to our silver sponsors: Digital Ocean, for sponsoring our servers. And JetBrains, for sponsoring our IDE.

Mascot

A friend of Ferris, Terres the hermit crab is the official mascot of SeaORM. His hobby is collecting shells.

Rustacean Sticker Pack 🦀

The Rustacean Sticker Pack is the perfect way to express your passion for Rust. Our stickers are made with a premium water-resistant vinyl with a unique matte finish. Stick them on your laptop, notebook, or any gadget to show off your love for Rust!

Sticker Pack Contents:

• Logo of SeaQL projects: SeaQL, SeaORM, SeaQuery, Seaography, FireDBG
• Mascot of SeaQL: Terres the Hermit Crab
• Mascot of Rust: Ferris the Crab
• The Rustacean word

Support SeaQL and get a Sticker Pack! All proceeds contributes directly to the ongoing development of SeaQL projects.