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autocomplete-lhc
Advanced tools
This is a package of JavaScript-based input field autocompleters. These were developed to meet the requirements of the [NLM PHR](https://phr-demo.nlm.nih.gov) and [LHC-Forms](https://lhncbc.nlm.nih.gov/project/lhc-forms) projects. The package includes an
This is a package of JavaScript-based input field autocompleters. These were developed to meet the requirements of the NLM PHR and LHC-Forms projects. The package includes an AngularJS directive, but can be used without Angular.
For features and demos, please visit the project page.
If you wish to modify this package, you will likely want to run the package's tests. The steps are:
source bashrc.autocomp
.source bashrc.autocomp
.This software was developed by the National Library of Medicine (NLM) Lister Hill National Center for Biomedical Communications (LHNCBC), part of the National Institutes of Health (NIH).
Please cite as:
Lister Hill National Center for Biomedical Communications
National Library of Medicine
Bethesda, MD
This software is distributed under a BSD-style open-source license. See LICENSE.md.
No warranty or indemnification for damages resulting from claims brought by third parties whose proprietary rights may be infringed by your usage of this software are provided by any of the owners.
[20.0.0] - 2025-06-01
FAQs
This is a package of JavaScript-based input field autocompleters. These were developed to meet the requirements of the [NLM PHR](https://phr-demo.nlm.nih.gov) and [LHC-Forms](https://lhncbc.nlm.nih.gov/project/lhc-forms) projects. The package includes an
The npm package autocomplete-lhc receives a total of 722 weekly downloads. As such, autocomplete-lhc popularity was classified as not popular.
We found that autocomplete-lhc demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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Product
Socket now supports Scala and Kotlin, bringing AI-powered threat detection to JVM projects with easy manifest generation and fast, accurate scans.
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