sinuous | 🧬 Light , fast , reactive UI library | Reactive Programming library

by luwes JavaScript Version: v0.30.0 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | sinuous Summary

sinuous is a JavaScript library typically used in Programming Style, Reactive Programming, React applications. sinuous has no bugs, it has no vulnerabilities and it has medium support. You can install using 'npm i sinuous-dup' or download it from GitHub, npm.

npm: npm i sinuous cdn: module:

Support

Quality

Security

License

Reuse

Support

sinuous has a medium active ecosystem.

It has 932 star(s) with 36 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 118 have been closed. On average issues are closed in 66 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sinuous is v0.30.0

Quality

sinuous has 0 bugs and 0 code smells.

Security

sinuous has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

sinuous code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sinuous does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

sinuous releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions are not available. Examples and code snippets are available.

sinuous saves you 4392 person hours of effort in developing the same functionality from scratch.

It has 9301 lines of code, 0 functions and 116 files.

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

Top functions reviewed by kandi - BETA

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

Calculates and updates an array of nodes
Hydrates a delta fragment
Plot the results .
Map and array nodes .
Create component context .
creates a new observable that changes to the queue .
Benchmarks a page .
Watch a computed property .
Creates an action recording function for a DOM element
Creates an array of action objects and returns it .

Get all kandi verified functions for this library.

sinuous Key Features

No Key Features are available at this moment for sinuous.

sinuous Examples and Code Snippets

No Code Snippets are available at this moment for sinuous.

Community Discussions

Trending Discussions on sinuous

Extract a periodic pattern from an image in Matlab

QUESTION

Extract a periodic pattern from an image in Matlab

Asked 2019-May-12 at 16:50

I have a sinuous signal in my image that you watch in below image. (in other words more than one signal with it's shadow)

I want to extract this sinuous signal (such a 1d signal) and find it's duty cycle, frequency and etc. As you can see there is a lot of noisy pattern also in my image and finding threshold or finding edges did not help me to solve the problem.

Also, I want to have a automatic algorithm that have generalize for my other images such this. Therefore,I think the finding of ROI couldn't be done, because in general sinuous signal begin from different row.

...

ANSWER

Answered 2019-Apr-22 at 13:12

What you said, is quite a project, not a question. I'd rather to study more about the similar projects and ask about some details in here. Although I could give you some hints:

1-Do a suitable thresholding on your image, like Otsu method (with a little change in the threshold value if it's needed).

2-On the binary image do an erode and a dilate successively to get rid of the small objects.

3-Do a horizontal dilation to get all parts of a curve stuck together. This gives you two firm curves.

4-Find connected components of each curve and with their prositions, find the lowest pixels (local minimum of signals)

5-Horizontal position of these local minimums, gives you the frequency.

Source https://stackoverflow.com/questions/55793769

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

Vulnerabilities

No vulnerabilities reported

Install sinuous

You can install using 'npm i sinuous-dup' or download it from GitHub, npm.

Support

sinuous-context (@theSherwood): A light-weight, fast, and easy to use context api for Sinuous.memo (@luwes): Memoize components and functions.disco (@luwes): Universal connected and disconnected lifecycle events.sinuous-style (@theSherwood): Scoped styles for Sinuous à la styled-jsx.sinuous-lifecycle (@heyheyhello): onAttach/onDetach DOM lifecycles.sinuous-trace (@heyheyhello): Traces the internal API to record component creation, adoption, and removal.

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