sierra-ecg-tools | Tools to work with the Philips Sierra ECG XML format

by sixlettervariables Java Version: Current License: MIT

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

kandi X-RAY | sierra-ecg-tools Summary

sierra-ecg-tools is a Java library. sierra-ecg-tools has a Permissive License and it has low support. However sierra-ecg-tools has 15 bugs, it has 1 vulnerabilities and it build file is not available. You can install using 'npm i sierraecg' or download it from GitHub, npm.

Tools to work with the Philips Sierra ECG XML format

Support

Quality

Security

License

Reuse

Support

sierra-ecg-tools has a low active ecosystem.

It has 24 star(s) with 28 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 5 have been closed. On average issues are closed in 4 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sierra-ecg-tools is current.

Quality

sierra-ecg-tools has 15 bugs (0 blocker, 0 critical, 15 major, 0 minor) and 1067 code smells.

Security

sierra-ecg-tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sierra-ecg-tools code analysis shows 1 unresolved vulnerabilities (1 blocker, 0 critical, 0 major, 0 minor).

There are 4 security hotspots that need review.

License

sierra-ecg-tools 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

sierra-ecg-tools releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

sierra-ecg-tools has no build file. You will be need to create the build yourself to build the component from source.

It has 41371 lines of code, 3463 functions and 281 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed sierra-ecg-tools and discovered the below as its top functions. This is intended to give you an instant insight into sierra-ecg-tools implemented functionality, and help decide if they suit your requirements.

Skip n bytes
Read count bytes
Read a code word
Internal read method
Transforms a file into an output file
Reconstructs a set of lead leads
Read the lead payload
Decode the deltas
Encodes the given raw byte buffer to the given output
Encodes the given source and destination arrays to bytes
Encodes the given ByteBuffer to the given character buffer
Encodes the given source and destination arrays to bytes
Decodes a file to a file
Decode a base64 encoded file
Encodes a file to a Base64 encoded string
Creates a binary - encoded string
Transforms the leads into a file
Extracts the lead data
Encode data to a file
Decode data to a file

Get all kandi verified functions for this library.

sierra-ecg-tools Key Features

No Key Features are available at this moment for sierra-ecg-tools.

sierra-ecg-tools Examples and Code Snippets

No Code Snippets are available at this moment for sierra-ecg-tools.

Community Discussions

No Community Discussions are available at this moment for sierra-ecg-tools.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install sierra-ecg-tools

You can install using 'npm i sierraecg' or download it from GitHub, npm.
You can use sierra-ecg-tools 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 sierra-ecg-tools 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

Sample XML files from various Philips devices would help ensure robustness of the underlying API. To contribute source code please review CONTRIBUTING.md.

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