Devart Python Connector for xBase 1.0.1
Python Connector for xBase is a connectivity solution for accessing FoxPro, Visual FoxPro, dBase, and other databases in DBF file formats from Python applications.
Last update
25 Dec. 2023
Licence
Free to try |
$99.00
OS Support
Windows
Downloads
Total: 116 | Last week: 2
Ranking
#178 in
Others
Publisher
Devart
Screenshots of Devart Python Connector for xBase
Devart Python Connector for xBase Publisher's Description
Python Connector for xBase is a connectivity solution for accessing FoxPro, Visual FoxPro, dBase, and other databases in DBF file formats from Python applications. It fully implements the Python DB API 2.0 specification. The connector is distributed as a wheel package for Windows, macOS, and Linux.
Local indexing
The connector offers an internal data indexing mechanism that is way more efficient than native DBF indexes for complex queries.
Retrieval of corrupted data
You can choose to ignore corrupted data and metadata errors in DBF tables. Corrupted data is skipped, while intact data is properly retrieved.
Compatibility
- Python versions from 3.7 to 3.12
- xBase compatibility:
- FoxPro 2, Visual FoxPro
- dBase III-dBase 7
- Codebase
- Clipper
- HiPer-Six
- SQLAlchemy
- pandas
- petl
Supported platforms
- Windows 32-bit and 64-bit
- Windows Server 32-bit and 64-bit
- macOS 64-bit and ARM (Apple M1 and M2)
- Linux 64-bit
Note: For details on supported OS versions, check the compatibility page of your Python version.
Local indexing
The connector offers an internal data indexing mechanism that is way more efficient than native DBF indexes for complex queries.
Retrieval of corrupted data
You can choose to ignore corrupted data and metadata errors in DBF tables. Corrupted data is skipped, while intact data is properly retrieved.
Compatibility
- Python versions from 3.7 to 3.12
- xBase compatibility:
- FoxPro 2, Visual FoxPro
- dBase III-dBase 7
- Codebase
- Clipper
- HiPer-Six
- SQLAlchemy
- pandas
- petl
Supported platforms
- Windows 32-bit and 64-bit
- Windows Server 32-bit and 64-bit
- macOS 64-bit and ARM (Apple M1 and M2)
- Linux 64-bit
Note: For details on supported OS versions, check the compatibility page of your Python version.
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