spark-template-engines | Repository for different Template engine implementations
kandi X-RAY | spark-template-engines Summary
kandi X-RAY | spark-template-engines Summary
spark-template-engines is a Java library. spark-template-engines has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.
Repository for different Template engine implementations.
Repository for different Template engine implementations.
Support
Quality
Security
License
Reuse
Support
spark-template-engines has a low active ecosystem.
It has 128 star(s) with 104 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
There are 16 open issues and 21 have been closed. On average issues are closed in 64 days. There are 30 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of spark-template-engines is current.
Quality
spark-template-engines has no bugs reported.
Security
spark-template-engines has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
spark-template-engines is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
spark-template-engines releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed spark-template-engines and discovered the below as its top functions. This is intended to give you an instant insight into spark-template-engines implemented functionality, and help decide if they suit your requirements.
- Renders the object
- Renders template with specified template
- Renders model and view
- Render model and view
- Renders the given model and view
- Creates a template resolver
- Renders the model and returns the result
- Renders model and view
- Parse the model and render it
- Creates default configuration
- Initializes the template engine
- Register a filter
- Registers a function definition
- Register a tag
- Renders model with model and view name
Get all kandi verified functions for this library.
spark-template-engines Key Features
No Key Features are available at this moment for spark-template-engines.
spark-template-engines Examples and Code Snippets
No Code Snippets are available at this moment for spark-template-engines.
Community Discussions
Trending Discussions on spark-template-engines
QUESTION
Template processing error when using ? operator
Asked 2017-Feb-08 at 17:14
I'm trying to see if the index from a loop is an odd number, using report?is_odd_item
, this gives me the following error:
ANSWER
Answered 2017-Jan-15 at 20:44You are using some rather old FreeMarker version there. ?is_odd_item
was added in 2.3.23. The last stable version is 2.3.25-incubating (where the "-incubating" has nothing to do with stability, it's demanded by the Apache Incubator policy).
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spark-template-engines
You can download it from GitHub.
You can use spark-template-engines like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the spark-template-engines component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use spark-template-engines like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the spark-template-engines component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
Please follow the official Spark [style guidelines](https://github.com/perwendel/spark/tree/master/config) if you want to contribute.
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page