matrx-orm
Async-first PostgreSQL ORM for Python: typed models, an expressive query builder, bidirectional migrations with dependency-ordered history, schema introspection + code generation, and a mountable FastAPI admin router. Designed for applications that want ORM ergonomics without giving up raw-SQL control.
Install
pip install matrx-orm
Python 3.13+ required. Needs a PostgreSQL server (or Supabase / any Postgres-compatible backend). The only Matrx sibling it depends on is matrx-utils.
What's in the box
- Core model layer:
Model,BaseManager,BaseDTO,ModelView,model_registry, and 50+ field types (CharField,IntegerField,UUIDField,JSONField,ForeignKey,ManyToManyField, …). - Query layer:
QueryBuilder, expressions (F,Q), window functions, CTEs, subqueries. - Migrations:
MigrationDB,MigrationLoader,MigrationExecutor,makemigrations,migrate— migrations declare explicitdependenciesand are applied in topological order. (Note: there is no multiple-head detection ormergeprimitive yet; parallel branches that both create the next sequence number must be reconciled by hand.) - Admin router (FastAPI):
admin_routerexposes a ready-to-mount set of read/write endpoints for every registered model. - API layer (optional
[api]extra):APIServer,APIConfig,TokenAuth. - Adapters:
AsyncPostgreSQLAdapter,SupabaseAdapter,PostgRESTClientAdapter. - Local artifact reads:
read_local_sqlite_rowsprovides a validated, read-only projection boundary for SQLite files owned by external tools such as Chromium. - Signals:
pre_create,post_create,pre_save,post_save,pre_delete,post_delete. - Schema builder (
matrx_orm.schema_builder): code generation for Python + TypeScript type definitions from the live DB schema — useful for keeping a frontend's row types in sync.
Usage
Register a database project
matrx-orm supports multiple named database projects in a single process. Register each at startup, either with an explicit config or by reading env vars:
from matrx_orm import DatabaseProjectConfig, register_database, register_database_from_env
# Explicit config
register_database(DatabaseProjectConfig(
name="main",
host="localhost", port=5432,
database="myapp", user="postgres", password="…",
default_schema="public",
))
# Or env-driven with a custom prefix
register_database_from_env(name="analytics", env_prefix="ANALYTICS_DB_")
Declare a model and query
from matrx_orm import Model, CharField, UUIDField, TimestampField, DateTimeField
class User(Model):
class Meta:
table = "users"
database = "main"
id = UUIDField(primary_key=True)
email = CharField(max_length=320, unique=True)
display_name = CharField(max_length=120)
created_at = DateTimeField(auto_now_add=True)
# Querying
user = await User.objects.get(email="alice@example.com")
active = await User.objects.filter(display_name__startswith="A").order_by("-created_at").all()
Migrations
# Generate migrations from the current model definitions
python -m matrx_orm.migrations.cli makemigrations
# Apply pending migrations
python -m matrx_orm.migrations.cli migrate
The migration system tracks which branch a migration originated on and refuses to let two branches create a conflicting sequence.
Mount the admin router
Rows with composite primary keys expose an opaque __matrx_row_id in list
responses and a matching virtual primary-key column descriptor. Pass that value
unchanged to row-detail, update, delete, and cache-eviction routes; the router
decodes it into the complete composite key. This also gives generated read-only
views collision-safe row navigation.
Generated views default to id only when they project it. Every other view must
declare bounded, unique columns in
generate[].output.view_primary_keys; generation fails instead of guessing a
first column or embedding an unbounded projected row in an identifier.
from fastapi import FastAPI
from matrx_orm import admin_router
app = FastAPI()
app.include_router(admin_router, prefix="/admin")
Instantly exposes list/get/create/update/delete endpoints for every registered model. Wrap it in your app's auth middleware.
Standalone-friendliness
No hidden env-var reads outside config.py and the schema-builder CLI. All env-var access goes through register_database_from_env, which accepts a env_prefix and an env_var_overrides map. You can run matrx-orm with zero environment variables — just build a DatabaseProjectConfig yourself and call register_database.
Contributing
See CLAUDE.md for package-specific rules. MODEL_API.md documents the full Model/QueryBuilder API. This package lives in the aidream monorepo at github.com/AI-Matrix-Engine/aidream-current.
License
MIT.
1 maintainer
Release files for matrx-orm 3.1.119
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