timeseries-analysis | NPM Package - Timeseries analysis noise removal stats | Time Series Database library

by 26medias JavaScript Version: 1.0.12 License: No License

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kandi X-RAY | timeseries-analysis Summary

timeseries-analysis is a JavaScript library typically used in Database, Time Series Database applications. timeseries-analysis has no bugs, it has no vulnerabilities and it has low support. You can install using 'npm i timeseries-analysis' or download it from GitHub, npm.

A chainable timeseries analysis tool. Transform your data, filter it, smooth it, remove the noise, get stats, get a preview chart of the data, ... This lib was conceived to analyze noisy financial data but is suitable to any type of timeseries.

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Quality

Security

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Support

timeseries-analysis has a low active ecosystem.

It has 230 star(s) with 47 fork(s). There are 11 watchers for this library.

It had no major release in the last 12 months.

There are 8 open issues and 8 have been closed. On average issues are closed in 132 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of timeseries-analysis is 1.0.12

Quality

timeseries-analysis has 0 bugs and 0 code smells.

Security

timeseries-analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

timeseries-analysis code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

timeseries-analysis 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

timeseries-analysis releases are not available. You will need to build from source code and install.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

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timeseries-analysis Key Features

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timeseries-analysis Examples and Code Snippets

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Community Discussions

Trending Discussions on timeseries-analysis

How to combine javascript/react frontend and python backend?

QUESTION

How to combine javascript/react frontend and python backend?

Asked 2020-Mar-04 at 15:05

I'm not quite sure if my question is a duplicate, but I wasn't able to find something helping me in my case.

Set Up
I've built a frontend webpage which contains a couple of services, for example show some timeseries and other information about my system. The website is build with the react framework and so using javascript in general.
Now I want to do some calculations about the timeseries for example calculate the similarity and other features of my sensordata. For that I'm using python which offers me a lot of libraries I've used for a long time and are easy to use.

What I'm looking for:
I'm looking for a very simple way to call my backend-timeseries-analysis-python script from the react GUI passing some variables like the length of the series. Also I want to process the returned values and safe the current values needed for normalization (like max,min) for further calculations.

So the procedure would look like the following:

...

ANSWER

Answered 2020-Mar-04 at 15:05

You can expose your Python scripts on a REST API which will be called by your React frontend. Database connection will be made by this API, and the response is sent to your frontend.

See Flask (very simple for small projects) or even Django to build Python APIs.

Source https://stackoverflow.com/questions/60528792

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

Vulnerabilities

No vulnerabilities reported

Install timeseries-analysis

You can install using 'npm i timeseries-analysis' or download it from GitHub, npm.

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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