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Updated perf graph
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README.rst

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Tortoise ORM is designed to be functional, yet familiar, to ease the migration of developers wishing to switch to ``asyncio``.
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It also performs well when compared to other Python ORMs, only losing to Pony ORM:
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It also performs well when compared to other Python ORMs, trading places with Pony ORM:
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.. image:: https://raw.githubusercontent.com/tortoise/tortoise-orm/develop/docs/ORM_Perf.png
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:target: https://github.com/tortoise/orm-benchmarks
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It is also easy to make a mistake in how you access your database, making it easy for SQL-injection attacks to occur.
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Your data rules are also distributed, increasing the complexity of managing your data, and even worse, is applied inconsistently.
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An ORM (Object Relational Mapper) is desgined to address these issues, by centralising your data model and data rules, ensuring that your data is managed safely (providing immunity to SQL-injection) and keeps track of relationships so you don't have to.
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An ORM (Object Relational Mapper) is designed to address these issues, by centralising your data model and data rules, ensuring that your data is managed safely (providing immunity to SQL-injection) and keeps track of relationships so you don't have to.
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Getting Started
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===============
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* MySQL (requires ``aiomysql``)
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``generate_schema`` generates the schema on an empty database. Tortoise generates schemas in safe mode by default which
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includes the `IF NOT EXISTS` clause, so you may include it in your main code.
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includes the ``IF NOT EXISTS`` clause, so you may include it in your main code.
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After that you can start using your models:

docs/ORM_Perf.png

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docs/index.rst

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Tortoise ORM is designed to be functional, yet familiar, to ease the migration of developers wishing to switch to ``asyncio``.
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It also performs well when compared to other Python ORMs, only losing to Pony ORM:
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It also performs well when compared to other Python ORMs, trading places with Pony ORM:
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.. image:: ORM_Perf.png
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:target: https://github.com/tortoise/orm-benchmarks
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How is an ORM useful?
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---------------------
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