sqlany-django | Django driver for SAP Sybase SQL Anywhere
kandi X-RAY | sqlany-django Summary
kandi X-RAY | sqlany-django Summary
sqlany-django is a Python library. sqlany-django has no bugs, it has no vulnerabilities, it has build file available and it has low support. However sqlany-django has a Non-SPDX License. You can install using 'pip install sqlany-django' or download it from GitHub, PyPI.
Django driver for SAP Sybase SQL Anywhere
Django driver for SAP Sybase SQL Anywhere
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Quality
Security
License
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Support
sqlany-django has a low active ecosystem.
It has 16 star(s) with 21 fork(s). There are 9 watchers for this library.
It had no major release in the last 6 months.
There are 4 open issues and 10 have been closed. On average issues are closed in 125 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of sqlany-django is current.
Quality
sqlany-django has 0 bugs and 0 code smells.
Security
sqlany-django has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
sqlany-django code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
sqlany-django 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.
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sqlany-django 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.
sqlany-django saves you 337 person hours of effort in developing the same functionality from scratch.
It has 808 lines of code, 74 functions and 9 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed sqlany-django and discovered the below as its top functions. This is intended to give you an instant insight into sqlany-django implemented functionality, and help decide if they suit your requirements.
- Create the test database
- Execute a query
- Replace datetimes in a list
- Convert a query string to num_params
- Set the autocommit option
- Check if the connection is valid
- Create a new CursorWrapper
- Get connection parameters
- Get relation constraints
- Get table description
- Convert a table name to index
- Get the indexes for a given table
- Fetch all rows from the database
- Convert datetimes to datetimes
- Generate SQL statement to flush tables
- Quote a name
- Drop a test database
- Get list of table info
- Returns the sql for a savepoint
- Check if a connection is valid
- Returns SQL for rollback to savepoint
Get all kandi verified functions for this library.
sqlany-django Key Features
No Key Features are available at this moment for sqlany-django.
sqlany-django Examples and Code Snippets
No Code Snippets are available at this moment for sqlany-django.
Community Discussions
No Community Discussions are available at this moment for sqlany-django.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sqlany-django
You can install using 'pip install sqlany-django' or download it from GitHub, PyPI.
You can use sqlany-django 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 sqlany-django 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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