psycopg2-ctypes | ctypes port of psycopg2
kandi X-RAY | psycopg2-ctypes Summary
kandi X-RAY | psycopg2-ctypes Summary
psycopg2-ctypes is a Python library. psycopg2-ctypes has no bugs, it has no vulnerabilities, it has build file available and it has low support. However psycopg2-ctypes has a Non-SPDX License. You can install using 'pip install psycopg2-ctypes' or download it from GitHub, PyPI.
Note: this module is no longer supported by me. If you want to take over the maintenance then let me know, otherwise see An implementation of the psycopg2 module using ctypes. The module is currently compatible with Psycopg 2.4.4.
Note: this module is no longer supported by me. If you want to take over the maintenance then let me know, otherwise see An implementation of the psycopg2 module using ctypes. The module is currently compatible with Psycopg 2.4.4.
Support
Quality
Security
License
Reuse
Support
psycopg2-ctypes has a low active ecosystem.
It has 55 star(s) with 57 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 11 open issues and 11 have been closed. On average issues are closed in 330 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of psycopg2-ctypes is current.
Quality
psycopg2-ctypes has 0 bugs and 0 code smells.
Security
psycopg2-ctypes has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
psycopg2-ctypes code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
psycopg2-ctypes has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
psycopg2-ctypes releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed psycopg2-ctypes and discovered the below as its top functions. This is intended to give you an instant insight into psycopg2-ctypes implemented functionality, and help decide if they suit your requirements.
- Open the connection
- Unparse mode
- Read data from the file
- Get the string representation of the array
- Adapt a value to a type
- Return the value of a parameter
- Add a connection to the pool
- Put a connection back into the pool
- Close the stream
- Return a connection object
- Get a connection from the pool
- Create a psycopg2 connection
- Get key
- Get a connection object
- Close all connections
- Close all streams
- Parses a date string
- Parses a time string
- Return dst of dt
- Checks if a datetime is in the local timezone
- Returns the UTC offset of the given datetime
- Create a default type
- Register a type object
- Return a QUoted string
- Get the value of the object
Get all kandi verified functions for this library.
psycopg2-ctypes Key Features
No Key Features are available at this moment for psycopg2-ctypes.
psycopg2-ctypes Examples and Code Snippets
Community Discussions
No Community Discussions are available at this moment for psycopg2-ctypes.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install psycopg2-ctypes
You can install using 'pip install psycopg2-ctypes' or download it from GitHub, PyPI.
You can use psycopg2-ctypes like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use psycopg2-ctypes like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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