flatbush | A very fast static spatial index for 2D points and rectangles in JavaScript 🌱 | Dataset library

by mourner JavaScript Version: 4.4.0 License: ISC

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

kandi X-RAY | flatbush Summary

flatbush is a JavaScript library typically used in Artificial Intelligence, Dataset, Example Codes applications. flatbush has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can install using 'npm i flatbush' or download it from GitHub, npm.

A really fast static spatial index for 2D points and rectangles in JavaScript. An efficient implementation of the packed Hilbert R-tree algorithm. Enables fast spatial queries on a very large number of objects (e.g. millions), which is very useful in maps, data visualizations and computational geometry algorithms.

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Quality

Security

License

Reuse

Support

flatbush has a medium active ecosystem.

It has 1269 star(s) with 54 fork(s). There are 23 watchers for this library.

There were 2 major release(s) in the last 12 months.

There are 4 open issues and 21 have been closed. On average issues are closed in 15 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of flatbush is 4.4.0

Quality

flatbush has 0 bugs and 0 code smells.

Security

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

flatbush code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

flatbush is licensed under the ISC License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

flatbush releases are available to install and integrate.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

HM Implementation of Hbert .
swap two boxes
Sorting values .
Benchmarks the Rera search .
Returns the upper bound value in the array .
BenchSearch for a specific button .
Benchmark .
Benchmark function .
Add a random item to a random box size
axis - aligned axis

Get all kandi verified functions for this library.

flatbush Key Features

No Key Features are available at this moment for flatbush.

flatbush Examples and Code Snippets

No Code Snippets are available at this moment for flatbush.

Community Discussions

Trending Discussions on flatbush

Unable to extract object value from dataset to compare or to apply filter on

QUESTION

Unable to extract object value from dataset to compare or to apply filter on

Asked 2021-Jan-20 at 20:37

I am trying to solve Q.22 on this page. The dataset is here

Q.22 Write a MongoDB query to find the restaurant Id, name, and grades for those restaurants which achieved a grade of "A" and scored 11 on an ISODate "2014-08-11T00:00:00Z" among many of survey dates

Data is in the form as:

...

ANSWER

Answered 2021-Jan-20 at 20:37

You have to filter for the field inside the object:

Source https://stackoverflow.com/questions/65722958

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

Vulnerabilities

No vulnerabilities reported

Install flatbush

Install using NPM (npm install flatbush) or Yarn (yarn add flatbush), then:.

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 .

Find more information at: