bonobo-sqlalchemy | PREVIEW - SQL databases in Bonobo , using sqlalchemy | SQL Database library
kandi X-RAY | bonobo-sqlalchemy Summary
kandi X-RAY | bonobo-sqlalchemy Summary
bonobo-sqlalchemy is a Python library typically used in Database, SQL Database, PostgresSQL applications. bonobo-sqlalchemy has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install bonobo-sqlalchemy' or download it from GitHub, PyPI.
PREVIEW - SQL databases in Bonobo, using sqlalchemy
PREVIEW - SQL databases in Bonobo, using sqlalchemy
Support
Quality
Security
License
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Support
bonobo-sqlalchemy has a low active ecosystem.
It has 23 star(s) with 13 fork(s). There are 5 watchers for this library.
It had no major release in the last 12 months.
There are 1 open issues and 3 have been closed. There are 7 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of bonobo-sqlalchemy is 0.7.0rc2
Quality
bonobo-sqlalchemy has 0 bugs and 0 code smells.
Security
bonobo-sqlalchemy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
bonobo-sqlalchemy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
bonobo-sqlalchemy does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
bonobo-sqlalchemy 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.
It has 587 lines of code, 35 functions and 23 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed bonobo-sqlalchemy and discovered the below as its top functions. This is intended to give you an instant insight into bonobo-sqlalchemy implemented functionality, and help decide if they suit your requirements.
- Parse command line options
- Create Postgresql engine
- Create an engine
- Execute sql statement
- Get a bonobo graph
- Return the SQLAlchemy engine
Get all kandi verified functions for this library.
bonobo-sqlalchemy Key Features
No Key Features are available at this moment for bonobo-sqlalchemy.
bonobo-sqlalchemy Examples and Code Snippets
No Code Snippets are available at this moment for bonobo-sqlalchemy.
Community Discussions
Trending Discussions on bonobo-sqlalchemy
QUESTION
Why don't SQLAlchemy show up in the search results of `pip3 search SQLAlchemy`?
Asked 2020-Apr-01 at 18:38
I wanted to install SQLAlchemy for Python 3 for working with databases.
I searched for the package using pip3 search SQLAlchemy, but I didn't find SQLAlchemy as part of the results.
Why don't SQLAlchemy show up in the output below, when the package is available on PyPI?
https://pypi.org/project/SQLAlchemy/
SQLAlchemy 1.3.15
...ANSWER
Answered 2020-Apr-01 at 18:38$ pip search sqlalchemy | wc -l
100
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bonobo-sqlalchemy
You can install using 'pip install bonobo-sqlalchemy' or download it from GitHub, PyPI.
You can use bonobo-sqlalchemy 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 bonobo-sqlalchemy 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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