z3c.rml | An alternative implementation of RML
kandi X-RAY | z3c.rml Summary
kandi X-RAY | z3c.rml Summary
z3c.rml is a Python library. z3c.rml has no bugs, it has no vulnerabilities, it has build file available and it has low support. However z3c.rml has a Non-SPDX License. You can install using 'pip install z3c.rml' or download it from GitHub, PyPI.
An alternative implementation of RML
An alternative implementation of RML
Support
Quality
Security
License
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Support
z3c.rml has a low active ecosystem.
It has 95 star(s) with 52 fork(s). There are 64 watchers for this library.
It had no major release in the last 12 months.
There are 15 open issues and 38 have been closed. On average issues are closed in 843 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of z3c.rml is 4.4.0
Quality
z3c.rml has 0 bugs and 0 code smells.
Security
z3c.rml has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
z3c.rml code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
z3c.rml 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.
Reuse
z3c.rml 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.
z3c.rml saves you 4121 person hours of effort in developing the same functionality from scratch.
It has 8755 lines of code, 356 functions and 40 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed z3c.rml and discovered the below as its top functions. This is intended to give you an instant insight into z3c.rml implemented functionality, and help decide if they suit your requirements.
- Extract examples from a given directory
- Enforces the columns of the rml file
- Returns the style of an XML document
- Remove whitespace from rml
- Expects an xml input to be a subprocess
- Split the PDF into multiple pages
- Returns the page number
- Convert a Unicode string into a filename
- Get the file info for a given directive
- Process the drawing
- Convert a Unicode string into a measurement
- Process the document
- Parse an XML string
- Convert a Unicode string into a string
- Process a signature definition
- Processes the flowable
- Merge PDF files
- Return a list of attribute types
- Convert a Unicode string to a color
- Return the object corresponding to the given Unicode string
- Parse a Unicode string
- Process a PDF document
- Setup parser
- Process the directive
- Process the element
- Draws the view
Get all kandi verified functions for this library.
z3c.rml Key Features
No Key Features are available at this moment for z3c.rml.
z3c.rml Examples and Code Snippets
No Code Snippets are available at this moment for z3c.rml.
Community Discussions
No Community Discussions are available at this moment for z3c.rml.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install z3c.rml
You can install using 'pip install z3c.rml' or download it from GitHub, PyPI.
You can use z3c.rml 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 z3c.rml 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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