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Comment:
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Size: 2225
Comment: fixed typo's
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* it dosn't put all data in memory like gadflay does (yet you can do that if you want, just use ':memory:' as filename | * it doesn't put all data in memory like gadfly does (yet you can do that if you want, just use ':memory:' as filename |
Masthead
- URL
- licence
- Sources are uncopyrighted. Use for any purpose.
- platforms
- Built and tested under Linux and Win2K.
DB API 2.0 Drivers
pysqlite
- URL
- SourceForge
- licence
- zlib/libpng License
- platforms
- Windows 95/98/2000/XP, POSIX, MacOS X
- Python versions
- 2.1 or later (1.x branch)/2.3 or later (2.0 branch)
Extensions to DB API
- Extensible type conversion
- Factories for connection and cursor objects
- row converter factory to easily and efficiently switch to a nonstandard type for rows (e. g. dicts)
- User-defined functions and aggregates
Comments
Other Drivers
APSW
- URL
- licence
- zlib/libpng license
- platforms
- Windows, POSIX
- Python versions
- ?
Programming Model
APSW is a SQLite 3 wrapper that provides a thin layer over SQLite 3. Although APSW looks vaguely similar to the DBAPI, it is not compliant with that API and instead mirrors the way SQLite 3 works.
Comments
Supported Python Applications
- Thuban (GIS application)
- Roundup (issue tracker)
- PyPI (Python Package Index)
- Trac (issue tracker, wiki, Subversion web frontend)
- Cloud Wiki (wiki)
- Supybot (IRC bot framework)
PyAddbook (Address Book)
Pros
I think SQLite may be a good replacement for gadfly, because:
- the main engine is written in C, so it should be faster than the gadfly implementation in Python
- it's extensible in a very easy way via Python
- it doesn't put all data in memory like gadfly does (yet you can do that if you want, just use ':memory:' as filename
- It's very cool for small databased application, because you do not have to start an external DBMS
- Implements almost all of SQL92
Cons
- SQLite only supports the basic types NULL, INTEGER, FLOAT, TEXT and BLOB
- If you want to use other types like DATE and TIME in pysqlite, you need to use its "pysqlite types mode", where things can get a little nastier.