pyfirebirdsql | Python DBAPI module for FirebirdSQL
kandi X-RAY | pyfirebirdsql Summary
kandi X-RAY | pyfirebirdsql Summary
pyfirebirdsql is a Python library. pyfirebirdsql has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyfirebirdsql' or download it from GitHub, PyPI.
Python DBAPI module for FirebirdSQL
Python DBAPI module for FirebirdSQL
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Quality
Security
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pyfirebirdsql has a low active ecosystem.
It has 69 star(s) with 29 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
There are 3 open issues and 45 have been closed. On average issues are closed in 148 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyfirebirdsql is REL_1_2_2
Quality
pyfirebirdsql has 0 bugs and 0 code smells.
Security
pyfirebirdsql has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
pyfirebirdsql code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
pyfirebirdsql is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
pyfirebirdsql 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.
pyfirebirdsql saves you 4436 person hours of effort in developing the same functionality from scratch.
It has 9391 lines of code, 370 functions and 33 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed pyfirebirdsql and discovered the below as its top functions. This is intended to give you an instant insight into pyfirebirdsql implemented functionality, and help decide if they suit your requirements.
- Parse a connection response
- Convert bytes to big endian integer
- Convert a hex string to bytes
- Convert a byte to an integer
- Process wire messages
- Convert bytes to an integer
- Return the ord of c
- Read incoming data packet
- Create OP service
- Initiate the wire protocol
- Read events from a socket
- Roll back the current transaction
- Generate server seed
- Sets the active service to the specified database
- Proxy a client socket
- Start tracing operation
- Compute server session hash
- Opens the database operation
- Calculate BLR format
- Read OP_CONNECT packet
- Execute an INSERT statement
- Convert a decimal value to a decimal value
- Create OP_CONFIG packet
- Read OP_INFO
- Compute client proof
- Shutdown the SCO service
Get all kandi verified functions for this library.
pyfirebirdsql Key Features
No Key Features are available at this moment for pyfirebirdsql.
pyfirebirdsql Examples and Code Snippets
No Code Snippets are available at this moment for pyfirebirdsql.
Community Discussions
No Community Discussions are available at this moment for pyfirebirdsql.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyfirebirdsql
You can install using 'pip install pyfirebirdsql' or download it from GitHub, PyPI.
You can use pyfirebirdsql 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 pyfirebirdsql 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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