Report Summary

  • 14

    Performance

    Renders faster than
    26% of other websites

  • 92

    Accessibility

    Visual factors better than
    that of 78% of websites

  • 83

    Best Practices

    More advanced features
    available than in
    55% of websites

  • 85

    SEO

    Google-friendlier than
    55% of websites

staff.lib.ncsu.edu

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Page Load Speed

473 ms in total

First Response

103 ms

Resources Loaded

314 ms

Page Rendered

56 ms

staff.lib.ncsu.edu screenshot

About Website

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Key Findings

We analyzed Staff.lib.ncsu.edu page load time and found that the first response time was 103 ms and then it took 370 ms to load all DOM resources and completely render a web page. This is an excellent result, as only 5% of websites can load faster.

Performance Metrics

staff.lib.ncsu.edu performance score

14

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value8.0 s

0/100

10%

LCP (Largest Contentful Paint)

Value16.5 s

0/100

25%

SI (Speed Index)

Value10.5 s

8/100

10%

TBT (Total Blocking Time)

Value2,770 ms

3/100

30%

CLS (Cumulative Layout Shift)

Value0.129

82/100

15%

TTI (Time to Interactive)

Value18.2 s

3/100

10%

Network Requests Diagram

staff.lib.ncsu.edu

103 ms

62 ms

login

18 ms

login

36 ms

index.7b90a78f.css

16 ms

Our browser made a total of 7 requests to load all elements on the main page. We found that 14% of them (1 request) were addressed to the original Staff.lib.ncsu.edu, 43% (3 requests) were made to Id-frontend.prod-east.frontend.public.atl-paas.net and 29% (2 requests) were made to Ncsulibraries.atlassian.net. The less responsive or slowest element that took the longest time to load (103 ms) belongs to the original domain Staff.lib.ncsu.edu.

Page Optimization Overview & Recommendations

Page size can be reduced by 82.6 kB (15%)

Content Size

544.3 kB

After Optimization

461.7 kB

In fact, the total size of Staff.lib.ncsu.edu main page is 544.3 kB. This result falls within a vast category (top 1 000 000) of heavyweight, probably not optimized, and thus slow loading web pages. Only 5% of websites need less resources to load. Javascripts take 535.1 kB which makes up the majority of the site volume.

HTML Optimization

-64%

Potential reduce by 4.8 kB

  • Original 7.5 kB
  • After minification 7.5 kB
  • After compression 2.7 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 4.8 kB or 64% of the original size.

JavaScript Optimization

-15%

Potential reduce by 77.6 kB

  • Original 535.1 kB
  • After minification 535.1 kB
  • After compression 457.5 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 77.6 kB or 15% of the original size.

CSS Optimization

-10%

Potential reduce by 175 B

  • Original 1.7 kB
  • After minification 1.7 kB
  • After compression 1.6 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Staff.lib.ncsu.edu has all CSS files already compressed.

Requests Breakdown

We found no issues to fix!

Requests Now

3

After Optimization

3

The browser has sent 3 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Staff Lib Ncsu. According to our analytics all requests are already optimized.

Accessibility Review

staff.lib.ncsu.edu accessibility score

92

Accessibility Issues

Names and labels

These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

Image elements do not have [alt] attributes

Best Practices

staff.lib.ncsu.edu best practices score

83

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

General

Impact

Issue

Low

Detected JavaScript libraries

High

Browser errors were logged to the console

High

Page has valid source maps

SEO Factors

staff.lib.ncsu.edu SEO score

85

Search Engine Optimization Advices

Content Best Practices

Format your HTML in a way that enables crawlers to better understand your app’s content.

Impact

Issue

High

Image elements do not have [alt] attributes

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Staff.lib.ncsu.edu can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Staff.lib.ncsu.edu main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

Open Graph description is not detected on the main page of Staff Lib Ncsu. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: