CSV_MS-SQL | convert CSV data files into MS SQL statements

by AlexMotz Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | CSV_MS-SQL Summary

CSV_MS-SQL is a Python library. CSV_MS-SQL has no bugs, it has no vulnerabilities and it has low support. However CSV_MS-SQL build file is not available. You can download it from GitHub.

Tool to convert CSV data files into MS SQL statements that can be used to populate SQL tables

Support

Quality

Security

License

Reuse

Support

CSV_MS-SQL has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

CSV_MS-SQL has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of CSV_MS-SQL is current.

Quality

CSV_MS-SQL has no bugs reported.

Security

CSV_MS-SQL has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

CSV_MS-SQL 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

CSV_MS-SQL releases are not available. You will need to build from source code and install.

CSV_MS-SQL has no build file. You will be need to create the build yourself to build the component from source.

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CSV_MS-SQL Key Features

No Key Features are available at this moment for CSV_MS-SQL.

CSV_MS-SQL Examples and Code Snippets

No Code Snippets are available at this moment for CSV_MS-SQL.

Community Discussions

No Community Discussions are available at this moment for CSV_MS-SQL.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install CSV_MS-SQL

You can download it from GitHub.
You can use CSV_MS-SQL 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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