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CPU cooler performance and price database

Project description

CPU Cooler Chart (CCC) is CPU cooler performance and price database. It merges data from CPU cooler performance measurements and price information from Coolenjoy and Danawa.

CPU Cooler Chart is comprised of two parts, the API server part (this project) and the web client part. You can find the web part at


CPU Cooler Chart depends on lxml, which in turn depends on liblxml2 and libxslt. You can install these with following commands.

  • Debian/Ubuntu: sudo apt-get install libxml2-dev libxslt1-dev

  • Mac OS X (with Homebrew): brew install libxml2 libxslt

For more information, see Installing lxml.

If you are ready to install lxml, you can install CPU Cooler Chart. There are many ways to do that but using pip is recommended:

$ pip install --pre cpucoolerchart

Currently --pre argument is needed but it will be unnecessary once a non-developmental release is out.


Before running the web server, you must initialize a database:

$ cpucoolerchart createdb

It will make a SQLite database at instance/development.db under the current directory. Although not tested, there is no restrictions on the choice of the database to use as long as SQLAlchemy supports it. See Configuration for how to change database options.

Now the database is ready and empty. Run the following command to fill it with data:

$ cpucoolerchart update

It will fetch measurement data from Coolenjoy. It might spit out some warnings due to inconsistencies in the data or because you haven’t provided Danawa API keys. Nothing is a serious problem for now.

To see the data, first you need to run a web server:

$ cpucoolerchart runserver

It will run a development server at port 5000. Open your browser and go to http://localhost:5000/makers. It should show some heatsink makers in JSON format. Go to http://localhost:5000/all to download a CSV file that contains all data. For the complete list of HTTP APIs, see the docs. Meanwhile, you can read file for what’s there.

For production, there are many options to run a web server (you should not use the development server in production). CPU Cooler Chart is built with Flask, which means it’s WSGI-compatible. The endpoint is cpucoolerchart.wsgi:app. Or you can make a custom Python file and create an app there:

from import create_app
app = create_app({
    'SQLALCHEMY_DATABASE_URI': 'postgres://user:pass@somewhere:5432/ccc'


CPU Cooler Chart is licensed under the MIT License. See LICENSE for more.

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