a small, expressive ORM python 2.7+ and 3.4+ (developed with 3.6) supports sqlite, mysql and postgresql tons of extensions Peewee’s source code hosted on GitHub [https://github.com/coleifer/peewee] code More examples Contributing Patches Bugs Questions Database Initializing a Database Using Postgresql Using SQLite Using MySQL Connecting using a Database URL Run-time database configuration Dynamically Extensions SqliteQ Sqlite User-Defined Functions apsw, an advanced sqlite driver Sqlcipher backend Postgresql Extensions MySQL Extensions DataSet Fields Hybrid Attributes Key/Value Store Shortcuts Signal support

support for versions 2.7+ and 3.4+ (developed with 3.6) Built-in support for SQLite, MySQL and Postgresql. numerous extensions available (postgres hstore/json/arrays, sqlite full-text- search, schema migrations lists the various field types peewee supports and the parameters they accept. There is also an extension module that contains special/custom field types. Contents: Installing and Testing Installing code More examples Contributing Patches Bugs Questions Database Initializing a Database Using Postgresql Using SQLite Using MySQL Connecting using a Database URL Run-time database configuration Dynamically

support for versions 2.7+ and 3.4+ (developed with 3.6) Built-in support for SQLite, MySQL and Postgresql. numerous extensions available (postgres hstore/json/arrays, sqlite full-text- search, schema migrations essentials. It will take you between 5 and 10 minutes to go through it. Example queries taken from the PostgreSQL exercises website [https://pgexercises.com]. Guide to the various query operators describes how lists the various field types peewee supports and the parameters they accept. There is also an extension module that contains special/custom field types. Contents: Installing and Testing Installing

Written in python with support for versions 2.6+ and 3.2+. built-in support for sqlite, mysql and postgresql numerous extensions available (postgres hstore/json/arrays, sqlite full-text- search, schema migrations lists the various field types peewee supports and the parameters they accept. There is also an extension module that contains special/custom field types. Contents: Installing and Testing Installing Patches Bugs Questions Managing your Database Creating a database connection and tables Using Postgresql Using SQLite Using BerkeleyDB Using MySQL Connecting using a Database URL Multi-threaded applications

Written in python with support for versions 2.7+ and 3.2+. Built-in support for SQLite, MySQL and Postgresql. numerous extensions available (postgres hstore/json/arrays, sqlite full-text- search, schema migrations lists the various field types peewee supports and the parameters they accept. There is also an extension module that contains special/custom field types. Contents: Installing and Testing Installing Joins and Subqueries Modifying Data Aggregation Recursion Database Initializing a Database Using Postgresql Using SQLite Using MySQL Connecting using a Database URL Run-time database configuration Dynamically

support for versions 2.7+ and 3.4+ (developed with 3.6) Built-in support for SQLite, MySQL and Postgresql. numerous extensions available (postgres hstore/json/arrays, sqlite full-text- search, schema migrations essentials. It will take you between 5 and 10 minutes to go through it. Example queries taken from the PostgreSQL exercises website [https://pgexercises.com]. Guide to the various query operators describes how lists the various field types peewee supports and the parameters they accept. There is also an extension module that contains special/custom field types. Contents: Installing and Testing Installing

How it works Limitations Utilities Settings Frequently Asked Questions Databases General notes PostgreSQL notes MariaDB notes MySQL notes SQLite notes Oracle notes Subclassing the built-in database backends Other: Supported databases | Legacy databases | Providing initial data | Optimize database access | PostgreSQL specific features The view layer Django has the concept of “views” to encapsulate the logic responsible database This step is only necessary if you’d like to work with a “large” database engine like PostgreSQL, MariaDB, MySQL, or Oracle. To install such a database, consult the database installation information

How it works Limitations Utilities Settings Frequently Asked Questions Databases General notes PostgreSQL notes MariaDB notes MySQL notes SQLite notes Oracle notes Subclassing the built-in database backends Other: Supported databases | Legacy databases | Providing initial data | Optimize database access | PostgreSQL specific features The view layer Django has the concept of “views” to encapsulate the logic responsible database This step is only necessary if you’d like to work with a “large” database engine like PostgreSQL, MariaDB, MySQL, or Oracle. To install such a database, consult the database installation information

How it works Limitations Utilities Settings Frequently Asked Questions Databases General notes PostgreSQL notes MariaDB notes MySQL notes SQLite notes Oracle notes Subclassing the built-in database backends Other: Supported databases | Legacy databases | Providing initial data | Optimize database access | PostgreSQL specific features The view layer Django has the concept of “views” to encapsulate the logic responsible database This step is only necessary if you’d like to work with a “large” database engine like PostgreSQL, MariaDB, MySQL, or Oracle. To install such a database, consult the database installation information

cases Contrib and reusable apps Settings Frequently Asked Questions Databases General notes PostgreSQL notes MariaDB notes MySQL notes SQLite notes Oracle notes Subclassing the built-in database backends Other: Supported databases | Legacy databases | Providing initial data | Optimize database access | PostgreSQL specific features The view layer Django has the concept of “views” to encapsulate the logic responsible database This step is only necessary if you’d like to work with a “large” database engine like PostgreSQL, MariaDB, MySQL, or Oracle. To install such a database, consult the database installation information