Flask-Compress

Flask-Compress allows you to easily compress your Flask application's responses with gzip, deflate, brotli or zstd. It originally started as a fork of Flask-gzip. Supported Python versions are 3.9 and newer.

The preferred solution is to have a server (like Nginx) automatically compress the static files for you. If you don't have that option Flask-Compress will solve the problem for you.

How it works

Flask-Compress both adds the various headers required for a compressed response and compresses the response data. This makes serving compressed static files extremely easy.

Internally, every time a request is made the extension will check if it matches one of the compressible MIME types and whether the client and the server use some common compression algorithm, and will automatically attach the appropriate headers.

To determine the compression algorithm, the Accept-Encoding request header is inspected, respecting the quality factor as described in MDN docs. If no requested compression algorithm is supported by the server, we don't compress the response. If, on the other hand, multiple suitable algorithms are found and are requested with the same quality factor, we choose the first one defined in the COMPRESS_ALGORITHM option (see below).

Installation

If you use pip then installation is simply:

$ pip install flask-compress

or, if you want the latest github version:

$ pip install git+git://github.com/colour-science/flask-compress.git

Using Flask-Compress

Globally

Flask-Compress is incredibly simple to use. In order to start compressing your Flask application's assets, the first thing to do is let Flask-Compress know about your flask.Flask application object.

from flask import Flask
from flask_compress import Compress

app = Flask(__name__)
Compress(app)

In many cases, however, one cannot expect a Flask instance to be ready at import time, and a common pattern is to return a Flask instance from within a function only after other configuration details have been taken care of. In these cases, Flask-Compress provides a simple function, flask_compress.Compress.init_app, which takes your application as an argument.

from flask import Flask
from flask_compress import Compress

compress = Compress()

def start_app():
    app = Flask(__name__)
    compress.init_app(app)
    return app

In terms of automatically compressing your assets, passing your flask.Flask object to the flask_compress.Compress object is all that needs to be done.

Per-view compression

Compression is possible per view using the @compress.compressed() decorator. Make sure to disable global compression first.

from flask import Flask
from flask_compress import Compress

app = Flask(__name__)
app.config["COMPRESS_REGISTER"] = False  # disable default compression of all eligible requests
compress = Compress()
compress.init_app(app)

# Compress this view specifically
@app.route("/test")
@compress.compressed()
def view():
   pass

Cache example

Flask-Compress can be integrated with caching mechanisms to serve compressed responses directly from the cache. This can significantly reduce server load and response times. Here is an example of how to configure Flask-Compress with caching using Flask-Caching. The example demonstrates how to create a simple cache instance with a 1-hour timeout, and use it to cache compressed responses for incoming requests.

from flask import Flask
from flask_compress import Compress
from flask_cache import Cache

# Initializing flask app
app = Flask(__name__)

cache = Cache(config={
    'CACHE_TYPE': 'SimpleCache',
    'CACHE_DEFAULT_TIMEOUT': 60*60  # 1 hour cache timeout
})
cache.init_app(app)

# Define a function to return cache key for incoming requests
def get_cache_key(request):
    return request.url

# Initialize Flask-Compress
compress = Compress()
compress.init_app(app)

# Set up cache for compressed responses
compress.cache = cache
compress.cache_key = get_cache_key

Options

Within your Flask application's settings you can provide the following settings to control the behavior of Flask-Compress. None of the settings are required.