pyDAL alternatives and similar packages
Based on the "Relational Databases" category.
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Prisma Client Python
DISCONTINUED. Prisma Client Python is an auto-generated and fully type-safe database client designed for ease of use -
InfluxDB – Built for High-Performance Time Series Workloads
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They vary from L1 to L5 with "L5" being the highest.
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README
pyDAL
pyDAL is a pure Python Database Abstraction Layer.
It dynamically generates the SQL/noSQL in realtime using the specified dialect for the database backend, so that you do not have to write SQL code or learn different SQL dialects (the term SQL is used generically), and your code will be portable among different types of databases.
pyDAL comes from the original web2py's DAL, with the aim of being compatible with any Python program. pyDAL doesn't require web2py and can be used in any Python context.
Installation
You can install pyDAL using pip:
pip install pyDAL
Usage and Documentation
Here is a quick example:
>>> from pydal import DAL, Field
>>> db = DAL('sqlite://storage.db')
>>> db.define_table('thing', Field('name'))
>>> db.thing.insert(name='Chair')
>>> query = db.thing.name.startswith('C')
>>> rows = db(query).select()
>>> print rows[0].name
Chair
>>> db.commit()
The complete documentation is available on http://www.web2py.com/books/default/chapter/29/06/the-database-abstraction-layer
What's in the box?
A little taste of pyDAL features:
- Transactions
- Aggregates
- Inner Joins
- Outer Joins
- Nested Selects
Which databases are supported?
pyDAL supports the following databases:
- SQLite
- MySQL
- PostgreSQL
- MSSQL
- FireBird
- Oracle
- DB2
- Ingres
- Sybase
- Informix
- Teradata
- Cubrid
- SAPDB
- IMAP
- MongoDB
License
pyDAL is released under the BSD-3c License. For further details, please check the LICENSE file.
*Note that all licence references and agreements mentioned in the pyDAL README section above
are relevant to that project's source code only.