Package Health Score

73 / 100

security
No known security issues
popularity
Small
maintenance
Inactive
community
Active

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Security

No known security issues

All security vulnerabilities belong to production dependencies of direct and indirect packages.

Security and license risk for significant versions

Version				Vulnerabilities	License Risk
2.0.0	\|	09/2020	Popular	0 C 0 H 0 M 0 L	0 H 0 M 0 L
1.0.5	\|	08/2019		0 C 0 H 0 M 0 L	0 H 0 M 0 L

License

MIT

Security Policy

Yes

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Popularity

Small

Weekly Downloads (1)

GitHub Stars: 9.35K
Forks: 942
Contributors: 150

Direct Usage Popularity

The npm package @spatial/clusters-dbscan receives a total of 1 downloads a week. As such, we scored @spatial/clusters-dbscan popularity level to be Small.

Based on project statistics from the GitHub repository for the npm package @spatial/clusters-dbscan, we found that it has been starred 9,354 times.

Downloads are calculated as moving averages for a period of the last 12 months, excluding weekends and known missing data points.

Community

Active

Readme.md: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 150
Funding: No

A good and healthy external contribution signal for @spatial/clusters-dbscan project, which invites more than one hundred open source maintainers to collaborate on the repository.

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Maintenance

Inactive

Commit Frequency

Open Issues: 247
Open PR: 33
Last Release: 4 years ago
Last Commit: 26 days ago

Further analysis of the maintenance status of @spatial/clusters-dbscan based on released npm versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for @spatial/clusters-dbscan is that it hasn't seen any new versions released to npm in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

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Package

Node.js Compatibility: not defined

Age: 6 years
Dependencies: 6 Direct
Versions: 5
Install Size: 16.8 kB
Dist-tags: 1
# of Files: 7
Maintainers: 2
TS Typings: Yes

@spatial/clusters-dbscan has more than a single and default latest tag published for the npm package. This means, there may be other tags available for this package, such as next to indicate future releases, or stable to indicate stable releases.

Readme

@spatial/clusters-dbscan

clustersDbscan

Takes a set of points and partition them into clusters according to https://en.wikipedia.org/wiki/DBSCAN data clustering algorithm.

Parameters

points FeatureCollection<Point> to be clustered
maxDistance number Maximum Distance between any point of the cluster to generate the clusters (kilometers only)
options Object Optional parameters (optional, default {})
- options.units string in which maxDistance is expressed, can be degrees, radians, miles, or kilometers (optional, default kilometers)
- options.minPoints number Minimum number of points to generate a single cluster, points which do not meet this requirement will be classified as an 'edge' or 'noise'. (optional, default 3)

Examples

// create random points with random z-values in their properties
var points = turf.randomPoint(100, {bbox: [0, 30, 20, 50]});
var maxDistance = 100;
var clustered = turf.clustersDbscan(points, maxDistance);

//addToMap
var addToMap = [clustered];

Returns FeatureCollection<Point> Clustered Points with an additional two properties associated to each Feature:- {number} cluster - the associated clusterId

{string} dbscan - type of point it has been classified as ('core'|'edge'|'noise')

This module is part of the Turfjs project, an open source module collection dedicated to geographic algorithms. It is maintained in the Turfjs/turf repository, where you can create PRs and issues.

Installation

Install this module individually:

$ npm install @spatial/clusters-dbscan

Or install the Turf module that includes it as a function:

$ npm install @turf/turf

@spatial/clusters-dbscan dependencies

@spatial/clone @spatial/distance @spatial/helpers @spatial/invariant @spatial/meta density-clustering

@spatial/clusters-dbscan development dependencies

@spatial/centroid @spatial/clusters benchmark esm rollup tape

FAQs

What is @spatial/clusters-dbscan?

turf clusters-dbscan module. Visit Snyk Advisor to see a full health score report for @spatial/clusters-dbscan, including popularity, security, maintenance & community analysis.

Is @spatial/clusters-dbscan popular?

The npm package @spatial/clusters-dbscan receives a total of 1 weekly downloads. As such, @spatial/clusters-dbscan popularity was classified as small. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is @spatial/clusters-dbscan well maintained?

We found indications that @spatial/clusters-dbscan is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is @spatial/clusters-dbscan safe to use?

The npm package @spatial/clusters-dbscan was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 17 November-2024, at 23:14 (UTC).

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@spatial/clusters-dbscan

turf clusters-dbscan module For more information about how to use this package see README

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Package

Readme

@spatial/clusters-dbscan

clustersDbscan

Parameters

Examples

Installation

@spatial/clusters-dbscan dependencies

@spatial/clusters-dbscan development dependencies

FAQs

What is @spatial/clusters-dbscan?

Is @spatial/clusters-dbscan popular?

Is @spatial/clusters-dbscan well maintained?

Is @spatial/clusters-dbscan safe to use?

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Package Health Score

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Weekly Downloads (1)

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Commit Frequency

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Readme

@spatial/clusters-dbscan

clustersDbscan

Parameters

Examples

Installation

@spatial/clusters-dbscan dependencies

@spatial/clusters-dbscan development dependencies

FAQs

What is @spatial/clusters-dbscan?

Is @spatial/clusters-dbscan popular?

Is @spatial/clusters-dbscan well maintained?

Is @spatial/clusters-dbscan safe to use?

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Source Code

Open Source

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