
Python
- 2 installs
- 10 repo stars
- Updated July 29, 2026
- appwrite/claude-plugin
Appwrite Python SDK skill is a Claude Code skill that guides building server-side Python applications, including Django, Flask, and FastAPI, against the Appwrite backend-as-a-service.
About
This skill documents the Appwrite Python SDK for server-side Python applications, including Django, Flask, and FastAPI. A developer uses it to set up the Appwrite client with an API key and then manage users, run TablesDB database and row operations, query data, and upload files. It gives Claude current conventions such as keyword arguments and TablesDB over the deprecated Databases class.
- Server-side Python Appwrite client for Django, Flask, and FastAPI
- User management, TablesDB CRUD, queries, and file storage via API keys
- Documents current TablesDB usage over the deprecated Databases class
Python by the numbers
- 2 all-time installs (skills.sh)
- Ranked #3,774 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
- Data as of Jul 30, 2026 (Skillselion catalog sync)
python capabilities & compatibility
Requires an Appwrite project and API key; Appwrite Cloud has a free tier.
- Capabilities
- appwrite sdk ruby · appwrite sdk php · backend integration
- Works with
- github
- Use cases
- api development · database
- Pricing
- Bring your own API key
What python says it does
Appwrite Python SDK skill. Use when building server-side Python applications with Appwrite, including Django, Flask, and FastAPI integrations.
pip install appwrite
npx skills add https://github.com/appwrite/claude-plugin --skill pythonAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 2 |
|---|---|
| repo stars | ★ 10 |
| Last updated | July 29, 2026 |
| Repository | appwrite/claude-plugin ↗ |
What it does
Build a Python, Django, Flask, or FastAPI backend that manages users, data, and storage on Appwrite.
Who is it for?
Python, Django, Flask, or FastAPI developers adding Appwrite user, data, and storage features.
Skip if: Client-only browser apps or non-Appwrite backends.
When should I use this skill?
Building server-side Python applications with Appwrite, including Django, Flask, and FastAPI.
What you get
- Configured Appwrite Python client
- user and TablesDB CRUD code
By the numbers
- 4 string column types documented (varchar, text, mediumtext, longtext)
Files
Appwrite Python SDK
Installation
pip install appwriteSetting Up the Client
from appwrite.client import Client
from appwrite.id import ID
from appwrite.query import Query
from appwrite.services.users import Users
from appwrite.services.tables_db import TablesDB
from appwrite.services.storage import Storage
from appwrite.services.functions import Functions
from appwrite.enums.o_auth_provider import OAuthProvider
import os
client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project(os.environ['APPWRITE_PROJECT_ID'])
.set_key(os.environ['APPWRITE_API_KEY']))Code Examples
User Management
users = Users(client)
# Create user
user = users.create(ID.unique(), 'user@example.com', None, 'password123', 'User Name')
# List users
result = users.list([Query.limit(25)])
# Get user
fetched = users.get('[USER_ID]')
# Delete user
users.delete('[USER_ID]')Database Operations
Note: UseTablesDB(not the deprecatedDatabasesclass) for all new code. Only useDatabasesif the existing codebase already relies on it or the user explicitly requests it.
>
Tip: Prefer keyword arguments (e.g., database_id='...') over positional arguments for all SDK method calls. Only use positional style if the existing codebase already uses it or the user explicitly requests it.tables_db = TablesDB(client)
# Create database
db = tables_db.create(ID.unique(), 'My Database')
# Create row
doc = tables_db.create_row('[DATABASE_ID]', '[TABLE_ID]', ID.unique(), {
'title': 'Hello World'
})
# Query rows
results = tables_db.list_rows('[DATABASE_ID]', '[TABLE_ID]', [
Query.equal('title', 'Hello World'),
Query.limit(10)
])
# Get row
row = tables_db.get_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')
# Update row
tables_db.update_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]', {
'title': 'Updated'
})
# Delete row
tables_db.delete_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')String Column Types
Note: The legacy string type is deprecated. Use explicit column types for all new columns.| Type | Max characters | Indexing | Storage |
|---|---|---|---|
varchar | 16,383 | Full index (if size ≤ 768) | Inline in row |
text | 16,383 | Prefix only | Off-page |
mediumtext | 4,194,303 | Prefix only | Off-page |
longtext | 1,073,741,823 | Prefix only | Off-page |
varcharis stored inline and counts towards the 64 KB row size limit. Prefer for short, indexed fields like names, slugs, or identifiers.text,mediumtext, andlongtextare stored off-page (only a 20-byte pointer lives in the row), so they don't consume the row size budget.sizeis not required for these types.
# Create table with explicit string column types
tables_db.create_table(
database_id='[DATABASE_ID]',
table_id=ID.unique(),
name='articles',
columns=[
{'key': 'title', 'type': 'varchar', 'size': 255, 'required': True}, # inline, fully indexable
{'key': 'summary', 'type': 'text', 'required': False}, # off-page, prefix index only
{'key': 'body', 'type': 'mediumtext', 'required': False}, # up to ~4 M chars
{'key': 'raw_data', 'type': 'longtext', 'required': False}, # up to ~1 B chars
]
)Query Methods
# Filtering
Query.equal('field', 'value') # == (or pass list for IN)
Query.not_equal('field', 'value') # !=
Query.less_than('field', 100) # <
Query.less_than_equal('field', 100) # <=
Query.greater_than('field', 100) # >
Query.greater_than_equal('field', 100) # >=
Query.between('field', 1, 100) # 1 <= field <= 100
Query.is_null('field') # is null
Query.is_not_null('field') # is not null
Query.starts_with('field', 'prefix') # starts with
Query.ends_with('field', 'suffix') # ends with
Query.contains('field', 'sub') # contains (string or array)
Query.search('field', 'keywords') # full-text search (requires index)
# Sorting
Query.order_asc('field')
Query.order_desc('field')
# Pagination
Query.limit(25) # max rows (default 25, max 100)
Query.offset(0) # skip N rows
Query.cursor_after('[ROW_ID]') # cursor pagination (preferred)
Query.cursor_before('[ROW_ID]')
# Selection & Logic
Query.select(['field1', 'field2']) # return only specified fields
Query.or_queries([Query.equal('a', 1), Query.equal('b', 2)]) # OR
Query.and_queries([Query.greater_than('age', 18), Query.less_than('age', 65)]) # AND (default)File Storage
from appwrite.input_file import InputFile
storage = Storage(client)
# Upload file
file = storage.create_file('[BUCKET_ID]', ID.unique(), InputFile.from_path('/path/to/file.png'))
# List files
files = storage.list_files('[BUCKET_ID]')
# Delete file
storage.delete_file('[BUCKET_ID]', '[FILE_ID]')InputFile Factory Methods
from appwrite.input_file import InputFile
InputFile.from_path('/path/to/file.png') # from filesystem path
InputFile.from_bytes(byte_data, 'file.png') # from bytes
InputFile.from_string('Hello world', 'hello.txt') # from string contentTeams
from appwrite.services.teams import Teams
teams = Teams(client)
# Create team
team = teams.create(ID.unique(), 'Engineering')
# List teams
team_list = teams.list()
# Create membership (invite user by email)
membership = teams.create_membership('[TEAM_ID]', roles=['editor'], email='user@example.com')
# List memberships
members = teams.list_memberships('[TEAM_ID]')
# Update membership roles
teams.update_membership('[TEAM_ID]', '[MEMBERSHIP_ID]', roles=['admin'])
# Delete team
teams.delete('[TEAM_ID]')Role-based access: UseRole.team('[TEAM_ID]')for all team members orRole.team('[TEAM_ID]', 'editor')for a specific team role when setting permissions.
Serverless Functions
functions = Functions(client)
# Execute function
execution = functions.create_execution('[FUNCTION_ID]', body='{"key": "value"}')
# List executions
executions = functions.list_executions('[FUNCTION_ID]')Writing a Function Handler (Python runtime)
# src/main.py — Appwrite Function entry point
def main(context):
# context.req — request object
# .body — raw request body (string)
# .body_json — parsed JSON body (dict, or None if not JSON)
# .headers — request headers (dict)
# .method — HTTP method (GET, POST, etc.)
# .path — URL path
# .query — parsed query parameters (dict)
# .query_string — raw query string
context.log('Processing: ' + context.req.method + ' ' + context.req.path)
if context.req.method == 'GET':
return context.res.json({'message': 'Hello from Appwrite Function!'})
data = context.req.body_json or {}
if 'name' not in data:
context.error('Missing name field')
return context.res.json({'error': 'Name is required'}, 400)
# Response methods
return context.res.json({'success': True}) # JSON response
# return context.res.text('Hello') # plain text
# return context.res.empty() # 204 No Content
# return context.res.redirect('https://example.com') # 302 Redirect
# return context.res.send('data', 200, {'X-Custom': '1'}) # custom responseServer-Side Rendering (SSR) Authentication
SSR apps (Flask, Django, FastAPI, etc.) use the server SDK to handle auth. You need two clients:
- Admin client — uses an API key, creates sessions, bypasses rate limits (reusable singleton)
- Session client — uses a session cookie, acts on behalf of a user (create per-request, never share)
from appwrite.client import Client
from appwrite.services.account import Account
from flask import request, jsonify, make_response, redirect
# Admin client (reusable)
admin_client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project('[PROJECT_ID]')
.set_key(os.environ['APPWRITE_API_KEY']))
# Session client (create per-request)
session_client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project('[PROJECT_ID]'))
session = request.cookies.get('a_session_[PROJECT_ID]')
if session:
session_client.set_session(session)Email/Password Login
@app.post('/login')
def login():
account = Account(admin_client)
session = account.create_email_password_session(
request.json['email'], request.json['password']
)
# Cookie name must be a_session_<PROJECT_ID>
resp = make_response(jsonify({'success': True}))
resp.set_cookie('a_session_[PROJECT_ID]', session['secret'],
httponly=True, secure=True, samesite='Strict',
expires=session['expire'], path='/')
return respAuthenticated Requests
@app.get('/user')
def get_user():
session = request.cookies.get('a_session_[PROJECT_ID]')
if not session:
return jsonify({'error': 'Unauthorized'}), 401
session_client = (Client()
.set_endpoint('https://<REGION>.cloud.appwrite.io/v1')
.set_project('[PROJECT_ID]')
.set_session(session))
account = Account(session_client)
return jsonify(account.get())OAuth2 SSR Flow
# Step 1: Redirect to OAuth provider
@app.get('/oauth')
def oauth():
account = Account(admin_client)
redirect_url = account.create_o_auth2_token(
OAuthProvider.Github,
'https://example.com/oauth/success',
'https://example.com/oauth/failure',
)
return redirect(redirect_url)
# Step 2: Handle callback — exchange token for session
@app.get('/oauth/success')
def oauth_success():
account = Account(admin_client)
session = account.create_session(request.args['userId'], request.args['secret'])
resp = make_response(jsonify({'success': True}))
resp.set_cookie('a_session_[PROJECT_ID]', session['secret'],
httponly=True, secure=True, samesite='Strict',
expires=session['expire'], path='/')
return respCookie security: Always usehttponly,secure, andsamesite='Strict'to prevent XSS. The cookie name must bea_session_<PROJECT_ID>.
Forwarding user agent: Call session_client.set_forwarded_user_agent(request.headers.get('user-agent')) to record the end-user's browser info for debugging and security.Error Handling
from appwrite.exception import AppwriteException
try:
row = tables_db.get_row('[DATABASE_ID]', '[TABLE_ID]', '[ROW_ID]')
except AppwriteException as e:
print(e.message) # human-readable error message
print(e.code) # HTTP status code (int)
print(e.type) # Appwrite error type string (e.g. 'document_not_found')
print(e.response) # full response body (dict)Common error codes:
| Code | Meaning |
|---|---|
401 | Unauthorized — missing or invalid session/API key |
403 | Forbidden — insufficient permissions for this action |
404 | Not found — resource does not exist |
409 | Conflict — duplicate ID or unique constraint violation |
429 | Rate limited — too many requests, retry after backoff |
Permissions & Roles (Critical)
Appwrite uses permission strings to control access to resources. Each permission pairs an action (read, update, delete, create, or write which grants create + update + delete) with a role target. By default, no user has access unless permissions are explicitly set at the document/file level or inherited from the collection/bucket settings. Permissions are arrays of strings built with the Permission and Role helpers.
from appwrite.permission import Permission
from appwrite.role import RoleDatabase Row with Permissions
doc = tables_db.create_row('[DATABASE_ID]', '[TABLE_ID]', ID.unique(), {
'title': 'Hello World'
}, [
Permission.read(Role.user('[USER_ID]')), # specific user can read
Permission.update(Role.user('[USER_ID]')), # specific user can update
Permission.read(Role.team('[TEAM_ID]')), # all team members can read
Permission.read(Role.any()), # anyone (including guests) can read
])File Upload with Permissions
file = storage.create_file('[BUCKET_ID]', ID.unique(), InputFile.from_path('/path/to/file.png'), [
Permission.read(Role.any()),
Permission.update(Role.user('[USER_ID]')),
Permission.delete(Role.user('[USER_ID]')),
])When to set permissions: Set document/file-level permissions when you need per-resource access control. If all documents in a collection share the same rules, configure permissions at the collection/bucket level and leave document permissions empty.
Common mistakes:
- Forgetting permissions — the resource becomes inaccessible to all users (including the creator)
- `Role.any()` with `write`/`update`/`delete` — allows any user, including unauthenticated guests, to modify or remove the resource
- `Permission.read(Role.any())` on sensitive data — makes the resource publicly readable
Related skills
FAQ
Does it cover Django, Flask, and FastAPI?
Yes, the skill targets server-side Python applications including Django, Flask, and FastAPI integrations.
Which database class should I use?
Use TablesDB for new code; the Databases class is deprecated.