Skip to main content

Simple and lightweight admin panel framework powered by FastAPI and Vue3 Vuetify together.. Some call it heavenly in its brilliance.

Project description

Brilliance Admin

PyPI CI

Simple and lightweight admin panel framework powered by FastAPI and Vue3 Vuetify together.
Integrated with SQLAlchemy. Inspaired by Django Admin and DRF.
Some call it heavenly in its brilliance.

Live Demo | Demo Sources | Documentation (todo)

Preview

Key ideas:

  • API oriented
    Works entirely on FastAPI and provides a prebuilt SPA frontend via static files (Vue3 + Vuetify). No separate startup is required.

Data generation/updating API separated from rendering fontend with zero hardcode, this makes it possible to have a single frontend with multiple backend implementations in different languages and makes test coverage easier.

  • Rich visualization
    Providing rich and convenient ways to display and manage data (tables, charts, etc) from any data source.
  • ORM
    Automatic schema generation and methods for CRUD operations.
  • Minimal boilerplate
    Focused on simplified, but rich configuration.

How it works:

  • After authentication, the user receives the admin panel schema, and the frontend renders it
  • The frontend communicates with the backend via API to fetch and modify data

Features:

  • Tables with full CRUD support, including filtering, sorting, and pagination.
  • Ability to define custom table actions with forms, response messages, and file downloads.
  • Graphs via ChartJS
  • Localization support
  • Adapted for different screen sizes and mobile devices
  • Authorization via any account data source

Integrations:

  • SQLAlchemy - schema autogeneration for tables + CRUD operations + authorization

Planned:

  • Role-based access control system
  • Nested data support for creation and detail views
  • Django ORM inegration

How to use it

Installation:

pip install brilliance-admin

You need to generate AdminSchema instance:

from brilliance_admin import schema


class CategoryExample(schema.CategoryTable):
    "Implementation of get_list and retrieve; update and create are optional"


admin_schema = schema.AdminSchema(
    title='Admin Panel',
    auth=YourAdminAuthentication(),
    groups=[
        schema.Group(
            slug='example',
            title='Example',
            icon='mdi-star',
            categories=[
                CategoryExample(),
            ]
        ),
    ],
)

admin_app = admin_schema.generate_app()

# Your FastAPI app
app = FastAPI()
app.mount('/admin', admin_app)

SQLAlchemy integration

Supports automatic schema generation for CRUD tables:

category = sqlalchemy.SQLAlchemyAdmin(db_async_session=async_sessionmaker, model=Terminal)

[!NOTE] If table_schema is not specified, it will be generated automatically with all discovered fields and relationships

Now, the category instance can be passed to categories.

DRF class style schema

from brilliance_admin import sqlalchemy
from brilliance_admin.translations import TranslateText as _

from your_project.models import Terminal


class TerminalFiltersSchema(sqlalchemy.SQLAlchemyFieldsSchema):
    model = Terminal
    fields = ['id', 'created_at']
    created_at = schema.DateTimeField(range=True)


class TerminalSchema(sqlalchemy.SQLAlchemyFieldsSchema):
    model = Terminal
    list_display = ['id', 'merchant_id']


class TerminalAdmin(sqlalchemy.SQLAlchemyAdmin):
    db_async_session = async_sessionmaker
    model = Terminal
    title = _('terminals')
    icon = 'mdi-console-network-outline'
    
    ordering_fields = ['id']
    search_fields = ['id', 'title']

    table_schema = TerminalSchema()
    table_filters = TerminalFiltersSchema()


category = TerminalAdmin()

Can be used both via inheritance and instancing

Optionally, functional-style generation can be used to reduce boilerplate code

Availiable for SQLAlchemyAdmin and SQLAlchemyFieldsSchema

category = sqlalchemy.SQLAlchemyAdmin(
    db_async_session=async_sessionmaker,
    model=Terminal,

    table_schema = sqlalchemy.SQLAlchemyFieldsSchema(
        model=Terminal, 
        list_display=['id', 'merchant_id'],
    ),
    table_filters = sqlalchemy.SQLAlchemyFieldsSchema(
        model=Terminal, 
        fields=['id', 'created_at'],
        created_at=schema.DateTimeField(range=True),
    ),
)

SQLAlchemy JWT Authentication

auth = sqlalchemy.SQLAlchemyJWTAdminAuthentication(
    secret='auth_secret',
    db_async_session=async_session,
    user_model=User,
)

Comparison of Similar Projects

Criterion Brilliance Admin Django Admin/Unfold FastAPI Admin Starlette Admin
Base framework FastAPI Django FastAPI Starlette / FastAPI
Rendering model Prebuilt Vue 3 + Vuetify SPA + Jinja2 Server-side Django templates Server-side Jinja2 templates + Tabler UI Server-side Jinja2 templates + Tabler UI
Frontend architecture Separate frontend (SPA) Classic server-rendered UI Server-rendered UI with JS interactivity Server-rendered UI with JS interactivity
Data source Any source + SQLAlchemy Django ORM Tortoise ORM Any source + SQLAlchemy, MongoDB
Multiple databases per model Yes Database routers No (global engine) Yes (session per ModelView)
Schema generation User-defined format From Django models From ORM models User-defined format
Async support Yes No Yes Yes
API-first approach Yes No Partially Partially

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

brilliance_admin-0.43.6.tar.gz (4.7 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

brilliance_admin-0.43.6-py3-none-any.whl (3.7 MB view details)

Uploaded Python 3

File details

Details for the file brilliance_admin-0.43.6.tar.gz.

File metadata

  • Download URL: brilliance_admin-0.43.6.tar.gz
  • Upload date:
  • Size: 4.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.7

File hashes

Hashes for brilliance_admin-0.43.6.tar.gz
Algorithm Hash digest
SHA256 fb5fe922e866ce453ab54e9b413a8220da63f6a41403b2940fd564ada83b7b2e
MD5 cb7057129194fb7f936112eac79752b8
BLAKE2b-256 b332e0816a3c93d15412001964f6cd288e49419874d11426534a6bdcae10cb77

See more details on using hashes here.

File details

Details for the file brilliance_admin-0.43.6-py3-none-any.whl.

File metadata

File hashes

Hashes for brilliance_admin-0.43.6-py3-none-any.whl
Algorithm Hash digest
SHA256 a1cb777aa0d02855b8a2173172f667c31c90992706476b907547a8c20028f2e0
MD5 0c0c461d0622f7b7dd3ece25cc988fc8
BLAKE2b-256 71cc5d1ccf0e12a4718bfe59976ca92e01bfccc287925dbcb3db79591e14cf48

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page