Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
rolling-math
Advanced tools
A math library that computes simple moving average and standard deviation on a rolling window.
The rolling-math library calculates simple moving average and standard deviation on a sliding window of BigNumber values.
This package was created to support the development of Forta scan agents. It can be used to filter out short-term fluctuations and also detect anomalous value changes.
This package depends on the bignumber.js
package.
Use the node package manager npm to add the library to your project:
$ npm install rolling-math
Import the rolling-math and BigNumber libraries into a JavaScript file like this:
const BigNumber = require('bignumber.js');
const RollingMath = require('rolling-math');
For each data set you wish to track over time, create a new RollingMath object and specify the window size:
rollingMath = new RollingMath(5);
The window size (5
in this case) represents the maximum number of previous elements the RollingMath
object will store. Each time a new value is added, the oldest value is removed once the window
size limit has been reached. Window size corresponds directly with time--if you are sampling once
per day, and the window size is 5, you have a 5-day Simple Moving Average (SMA) filter.
addElement(element)
: Add a value to the data set. The element
value must be a BigNumber type.getNumElements()
: Returns the number of values currently storedgetWindowSize()
: Returns the window sizegetSum()
: Returns the sum of the currently stored valuesgetAverage()
: Return the average of the currently stored valuesgetStandardDeviation()
: Return the standard deviation of the currently stored valuesPopulate the rolling-math object with data:
rollingMath = new RollingMath(5);
rollingMath.addElement(new BigNumber(100));
rollingMath.addElement(new BigNumber(40));
rollingMath.addElement(new BigNumber(55));
rollingMath.addElement(new BigNumber(45));
rollingMath.addElement(new BigNumber(70));
rollingMath.addElement(new BigNumber(10)); // this will pop 100 out of the sliding window
Compute statistics:
const sum = rollingMath.getSum(); // 220
const average = rollingMath.getAverage(); // 44
const stdDev = rollingMath.getStandardDeviation(); // 22.19234
GNU Affero General Public License (AGPLv3). See LICENSE.
FAQs
A math library that computes simple moving average and standard deviation on a rolling window.
The npm package rolling-math receives a total of 11 weekly downloads. As such, rolling-math popularity was classified as not popular.
We found that rolling-math demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.