npmpackage.info

Gathering detailed insights and metrics for chart

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chart

Event-based Charting Canvas API

0.1.2

JavaScript

9.60 kB

777,946 2.6

Installations

npm install chart

Developer Guide

BETA

Typescript

No

Module System

CommonJS

NPM Version

1.1.71 Score

67.7

Supply Chain

97.2

Quality

75.1

Maintenance

100

Vulnerability

100

License

Pull Requests

Open

1

Total

2

Closed

1

Issues

Open

1

Total

1

Closed

0

Releases

Unable to fetch releases

Contributors

Unable to fetch Contributors

View All 1 Contributors

Languages

JavaScript

JavaScript (100%)

validate.email 🚀

Verify real, reachable, and deliverable emails with instant MX records, SMTP checks, and disposable email detection.

Developer

rook2pawn

Download Statistics

Total Downloads

777,946

Last Day

493

Last Week

2,853

Last Month

12,269

Last Year

121,871

GitHub Statistics

5 Stars

78 Commits

4 Forks

3 Watchers

2 Branches

1 Contributors

Updated on Feb 20, 2017

Bundle Size

28.35 kB

Minified

9.60 kB

Minified + Gzipped

Bundlephobia

Maintainers

Package Meta Information

Latest Version

0.1.2

Package Id

chart@0.1.2

Size

267.33 kB

NPM Version

1.1.71

Total Downloads

Cumulative downloads

Total Downloads

777,946

Last Day

10.3%

493

Compared to previous day

Last Week

7.6%

2,853

Compared to previous week

Last Month

8.1%

12,269

Compared to previous month

Last Year

29.6%

121,871

Compared to previous year

Daily Downloads

Weekly Downloads

Monthly Downloads

Yearly Downloads

Dependencies

hat mrcolor hashish

node-chart

Time Series Charting Canvas API

Use

var chart = new Chart();
var ee = require('events').EventEmitter;
var datasource = new ee;

chart.series(datasource);
chart.to(document.getElementById('mychart'));

setInterval(function() {
    var random = Math.floor(Math.random()*100);
    datasource.emit('data',{y:random});
},1000);

Multiple Data sources

var d1 = new ee;
var d2 = new ee;

chart.series(d1);
chart.series(d2);

// or
chart.series([d1,d2])
    
// or
chart.series(d1,d2);

chart.series

Event types that chart.series responds to are

'data' - provides data for timeseries and optional labels

'stop' - stops the timeseries for that datastream

chart.legend

<canvas id='legend'></canvas>
chart.legend(document.getElementById('legend'));

Legend is automatically created with the data that is sent. To visualize and interact with a legend, use the .legend callback

Labels go with the value

datasorce.emit('data',{'units sold':9.2})

You can supply multiple labels

datasorce1.emit('data',{'units sold':9.2})
datasorce2.emit('data',{'current energy consumption':30})

Tests

// to install tap, simply npm install tap

tap ./test

MISC

Author: David Wee rook2pawn@gmail.com License: MIT Developed At : Malhar, Inc. david@malhar-inc.com

No vulnerabilities found.

10

Binary-Artifacts

Determines if the project has generated executable (binary) artifacts in the source repository.

10

Vulnerabilities

Determines if the project has open, known unfixed vulnerabilities.

0

Code-Review

Determines if the project requires human code review before pull requests (aka merge requests) are merged.

0

SAST

Determines if the project uses static code analysis.

0

Maintained

Determines if the project is "actively maintained".

0

CII-Best-Practices

Determines if the project has an OpenSSF (formerly CII) Best Practices Badge.

0

Security-Policy

Determines if the project has published a security policy.

0

License

Determines if the project has defined a license.

0

Fuzzing

Determines if the project uses fuzzing.

0

Branch-Protection

Determines if the default and release branches are protected with GitHub's branch protection settings.

Score

2.6

/10

Last Scanned on 2025-03-03

The Open Source Security Foundation is a cross-industry collaboration to improve the security of open source software (OSS). The Scorecard provides security health metrics for open source projects.

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