pyfastcms 0.1.2

Open-source Backend-as-a-Service built with FastAPI

FastCMS

The modular Python BaaS — auth, realtime, files, dynamic collections. AI via plugins, install only what you need.

FastCMS gives your frontend a complete backend in minutes — dynamic schemas, JWT auth, real-time WebSocket subscriptions, file storage with thumbnails, webhooks, and an admin dashboard. Build on top of FastAPI + SQLAlchemy. Drop in plugins when you need AI, custom fields, or integrations.

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Install

From PyPI (recommended)

pip install pyfastcms
fastcms init my-app
cd my-app
fastcms dev

You now have an admin at http://localhost:8000/admin and an OpenAPI playground at http://localhost:8000/docs.

With cloud storage backends

pip install 'pyfastcms[s3]'        # AWS S3 / MinIO / DigitalOcean Spaces
pip install 'pyfastcms[azure]'     # Azure Blob
pip install 'pyfastcms[storage]'   # both at once

Docker (multi-service: FastCMS + Postgres + Redis)

git clone https://github.com/aalhommada/fastCMS && cd fastCMS
cp .env.example .env       # set SECRET_KEY (openssl rand -hex 32) inside
docker compose up -d

The compose file in this repo wires up Postgres + Redis for production-grade real-time and persistence. For SQLite-only dev, the pip install path above is simpler.

From source (for contributors)

git clone https://github.com/aalhommada/fastCMS && cd fastCMS
python -m venv .venv && source .venv/bin/activate
pip install -e '.[storage]'
cp .env.example .env       # set SECRET_KEY
fastcms dev

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Quick start

After fastcms dev is running:

1. Create your first user

curl -X POST http://localhost:8000/api/v1/auth/register \
  -H 'Content-Type: application/json' \
  -d '{
    "email": "[e-mail]",
    "password": "YourPassword123!",
    "password_confirm": "YourPassword123!",
    "name": "Your Name"
  }'

The response includes an access_token. Save it as TOKEN for the next calls. To make the user an admin:

sqlite3 data/app.db "UPDATE users SET role='admin' WHERE email='[e-mail]';"

2. Create a collection

curl -X POST http://localhost:8000/api/v1/collections \
  -H "Authorization: Bearer $TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{
    "name": "posts",
    "type": "base",
    "schema": [
      {"name": "title",     "type": "text",   "validation": {"required": true}},
      {"name": "content",   "type": "editor"},
      {"name": "published", "type": "bool"}
    ]
  }'

FastCMS auto-creates the table, REST endpoints, and admin UI for it.

3. Add a record

curl -X POST http://localhost:8000/api/v1/collections/posts/records \
  -H "Authorization: Bearer $TOKEN" \
  -H 'Content-Type: application/json' \
  -d '{"data": {"title": "Hello", "content": "World", "published": true}}'

4. Query

# filter
curl "http://localhost:8000/api/v1/collections/posts/records?filter=published=true" \
  -H "Authorization: Bearer $TOKEN"

# full-text search
curl "http://localhost:8000/api/v1/collections/posts/records?search=hello" \
  -H "Authorization: Bearer $TOKEN"

# sort newest first
curl "http://localhost:8000/api/v1/collections/posts/records?sort=-created" \
  -H "Authorization: Bearer $TOKEN"

See docs.fastcms.dev for the full filter operator list (=, !=, >, >=, <, <=, ~, ?=), date macros (@today, @day-7), expansion, and pagination.

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Add AI (optional)

AI features live in separate plugins so the core install stays lightweight. Install only what you need:

fastcms plugin install ai-core      # LLM provider abstraction (OpenAI, Anthropic, Ollama)
fastcms plugin install ai-vectors   # embedding storage + semantic search
fastcms plugin install ai-rag       # retrieval-augmented Q&A on your docs
fastcms plugin install ai-agents    # autonomous agents with tool calling

Then restart the server, configure a provider via the admin UI at /admin/ai, or POST to /api/v1/plugins/ai/configure. No API key required if you run Ollama locally.

Plugins source: https://github.com/aalhommada/fastcms-plugins.

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Core features

Every feature below ships in the pyfastcms wheel — no plugin needed.

Feature	Highlights
Dynamic Collections	Define schema via API; auto-creates table + REST endpoints + admin UI
Auth Collections	Multiple user pools (customers, vendors, admins) with JWT + bcrypt
View Collections	Virtual collections backed by SQL queries (joins, aggregations)
Authentication	JWT + refresh tokens, OAuth (Google/GitHub/Microsoft), 2FA/TOTP, API keys, magic links
Real-time	WebSocket subscriptions per-collection, presence, Redis pub/sub for multi-server
File storage	Local / S3 / Azure Blob with automatic image thumbnails (3 sizes)
Access control	Per-collection rule expressions for read/create/update/delete
Hooks	Drop a .py file in hooks/ to react to record events
Webhooks	HMAC-signed delivery, exponential backoff, full retry/audit log
Backup & restore	One-click DB snapshots via API or admin
CSV import/export	Move data between environments
Admin dashboard	Web UI for everything — collections, records, users, files, settings
CLI	fastcms init, fastcms dev, fastcms collections, fastcms users, fastcms plugin

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Configuration

Settings come from environment variables (or a .env file). The most common ones:

SECRET_KEY=...                    # required — generate with: openssl rand -hex 32
DATABASE_URL=sqlite+aiosqlite:///./data/app.db
                                  # or: postgresql+asyncpg://user:pass@host/db
ACCESS_TOKEN_EXPIRE_MINUTES=1440  # 1 day default
CORS_ORIGINS=http://localhost:3000,https://yourapp.com
STORAGE_TYPE=local                # local | s3 | azure
REDIS_ENABLED=false               # set true for multi-server real-time

See .env.example for the full list including OAuth, SMTP, S3, and Azure settings.

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Production checklist

• Strong SECRET_KEY (32+ random bytes)
• DEBUG=false and ENVIRONMENT=production
• Postgres instead of SQLite (set DATABASE_URL)
• Redis enabled if running multiple instances (REDIS_ENABLED=true)
• Specific CORS_ORIGINS (not *)
• Cloud storage if you serve uploads at scale (STORAGE_TYPE=s3)
• Reverse proxy with TLS (the included docker-compose.yml is a good starting point)

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Documentation

Full docs: https://fastcms.dev

Highlights:

• Getting started
• Collections, records, fields
• Real-time
• Webhooks
• Hooks
• AI plugins
• Plugin development

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Common questions

Where is my data stored? SQLite at data/app.db by default. Switch to Postgres in production via DATABASE_URL.

Do I need AI? No — the core works without any plugin. Install AI plugins only if you want them.

Can I add my own field types or endpoints? Yes — write a plugin and drop it in plugins/. See the plugin development guide.

Is it production-ready? The current release is 0.1.x — APIs may still evolve before 1.0. Several teams run it in production today; see CHANGELOG.md for what's stable and what's recently fixed.

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License

MIT — see LICENSE.