tableschema-to-template | Frictionless Table Schema , generate an Excel template
kandi X-RAY | tableschema-to-template Summary
kandi X-RAY | tableschema-to-template Summary
tableschema-to-template is a Python library. tableschema-to-template 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 tableschema-to-template' or download it from GitHub, PyPI.
Given a Frictionless Table Schema, generate an Excel template with input validation
Given a Frictionless Table Schema, generate an Excel template with input validation
Support
Quality
Security
License
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Support
tableschema-to-template has a low active ecosystem.
It has 10 star(s) with 3 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 3 open issues and 11 have been closed. On average issues are closed in 11 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of tableschema-to-template is 0.0.13
Quality
tableschema-to-template has no bugs reported.
Security
tableschema-to-template has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
tableschema-to-template is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
tableschema-to-template 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 tableschema-to-template and discovered the below as its top functions. This is intended to give you an instant insight into tableschema-to-template implemented functionality, and help decide if they suit your requirements.
- Return validation for the column
- Get a bound constraint
- Get the minimum value
- Returns the maximum value
- Get the bound message for the constraint
- Create an xlsx file
- Return a Validation instance for the given field
- Return the column name for a column
- Validate table schema
- Return the validation data for this column
- Minimum value
- Return the maximum value
- Return data validation
- Return an enum error message
- Return the sheet name for the given field
- Create an argument parser
- Parse a docstring into a dictionary
Get all kandi verified functions for this library.
tableschema-to-template Key Features
No Key Features are available at this moment for tableschema-to-template.
tableschema-to-template Examples and Code Snippets
No Code Snippets are available at this moment for tableschema-to-template.
Community Discussions
No Community Discussions are available at this moment for tableschema-to-template.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tableschema-to-template
You can install using 'pip install tableschema-to-template' or download it from GitHub, PyPI.
You can use tableschema-to-template 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 tableschema-to-template 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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