Tools & Wizards About Us
jinglescode.github.io screenshot

Report Summary

  • 80

    Performance

    Renders faster than
    86% of other websites

  • 79

    Accessibility

    Visual factors better than
    that of 47% of websites

  • 83

    Best Practices

    More advanced features
    available than in
    55% of websites

  • 79

    SEO

    Google-friendlier than
    40% of websites

jinglescode.github.io

Jingles writes about Machine Learning & Neuroscience - Hong Jing (Jingles)

Page Load Speed

601 ms in total

First Response

22 ms

Resources Loaded

317 ms

Page Rendered

262 ms

jinglescode.github.io screenshot

About Website

Welcome to jinglescode.github.io homepage info - get ready to check Jingles Code Github best content for China right away, or after learning these important things about jinglescode.github.io

Hong Jing is a data scientist & Alibaba PhD student, write about Machine Learning & Neuroscience

Visit jinglescode.github.io

Key Findings

We analyzed Jinglescode.github.io page load time and found that the first response time was 22 ms and then it took 579 ms to load all DOM resources and completely render a web page. This is quite a good result, as only 10% of websites can load faster.

Performance Metrics

jinglescode.github.io performance score

80

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value2.0 s

83/100

10%

LCP (Largest Contentful Paint)

Value3.9 s

51/100

25%

SI (Speed Index)

Value2.6 s

97/100

10%

TBT (Total Blocking Time)

Value180 ms

92/100

30%

CLS (Cumulative Layout Shift)

Value0

100/100

15%

TTI (Time to Interactive)

Value6.0 s

65/100

10%

Network Requests Diagram

jinglescode.github.io

22 ms

jinglescode.github.io

31 ms

icon

40 ms

css

50 ms

materialize.min.css

18 ms

Our browser made a total of 41 requests to load all elements on the main page. We found that 68% of them (28 requests) were addressed to the original Jinglescode.github.io, 10% (4 requests) were made to Fonts.gstatic.com and 5% (2 requests) were made to Fonts.googleapis.com. The less responsive or slowest element that took the longest time to load (133 ms) belongs to the original domain Jinglescode.github.io.

Page Optimization Overview & Recommendations

Page size can be reduced by 44.1 kB (5%)

Content Size

841.7 kB

After Optimization

797.7 kB

  • HTML
  • Images
  • JavaScript

In fact, the total size of Jinglescode.github.io main page is 841.7 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 55% of websites need less resources to load. Images take 773.9 kB which makes up the majority of the site volume.

HTML Optimization

-93%

Potential reduce by 43.3 kB

  • Original 46.8 kB
  • After minification 20.0 kB
  • After compression 3.4 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. This page needs HTML code to be minified as it can gain 26.7 kB, which is 57% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 43.3 kB or 93% of the original size.

Image Optimization

-0%

Potential reduce by 679 B

  • Original 773.9 kB
  • After minification 773.3 kB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Jingles Code Github images are well optimized though.

JavaScript Optimization

-0%

Potential reduce by 50 B

  • Original 21.0 kB
  • After minification 21.0 kB
  • After compression 20.9 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. This website has mostly compressed JavaScripts.

Requests Breakdown

Number of requests can be reduced by 8 (23%)

Requests Now

35

After Optimization

27

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 35 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Jingles Code Github. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 5 to 1 for JavaScripts and from 5 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

jinglescode.github.io

jinglescode.github.io

22 ms

jinglescode.github.io

jinglescode.github.io

31 ms

icon

icon

40 ms

css

css

50 ms

materialize.min.css

materialize.min.css

18 ms

custom.css

custom.css

36 ms

syntax.css

syntax.css

35 ms

js

js

84 ms

jquery-2.1.1.min.js

jquery-2.1.1.min.js

30 ms

materialize.min.js

materialize.min.js

69 ms

hongjing.jpeg

hongjing.jpeg

41 ms

learning-by-doing-mini.jpg

learning-by-doing-mini.jpg

133 ms

coordinating-multiple-rl-agents-overcooked-01-mini.jpg

coordinating-multiple-rl-agents-overcooked-01-mini.jpg

42 ms

introducing-objectron-imagenet-to-advance-3d-object-understanding-01-mini.jpg

introducing-objectron-imagenet-to-advance-3d-object-understanding-01-mini.jpg

41 ms

learned-optimizers-outperform-standard-optimizers-like-adam-01-mini.jpg

learned-optimizers-outperform-standard-optimizers-like-adam-01-mini.jpg

41 ms

ways-start-ml-01-mini.jpg

ways-start-ml-01-mini.jpg

56 ms

how-convolutional-layers-work-deep-learning-neural-networks-01-mini.jpg

how-convolutional-layers-work-deep-learning-neural-networks-01-mini.jpg

42 ms

signal-intro-00-mini.jpg

signal-intro-00-mini.jpg

43 ms

intelligent-ai-heres-how-you-evaluate-01-mini.jpg

intelligent-ai-heres-how-you-evaluate-01-mini.jpg

45 ms

state-of-the-art-language-models-2020-01-mini.jpg

state-of-the-art-language-models-2020-01-mini.jpg

52 ms

illustrated-guide-transformer-01-mini.jpg

illustrated-guide-transformer-01-mini.jpg

91 ms

three-types-sequence-prediction-problems-01-mini.jpg

three-types-sequence-prediction-problems-01-mini.jpg

90 ms

babies-awesome-humans-og-neural-net-01-mini.jpg

babies-awesome-humans-og-neural-net-01-mini.jpg

89 ms

use-gan-beyond-art-01-mini.jpg

use-gan-beyond-art-01-mini.jpg

93 ms

setup-latex-atom-01-mini.jpg

setup-latex-atom-01-mini.jpg

92 ms

radiologists-computer-vision-diagnose-covid-01-mini.jpg

radiologists-computer-vision-diagnose-covid-01-mini.jpg

90 ms

ai-played-critical-role-pandemic-01-mini.jpg

ai-played-critical-role-pandemic-01-mini.jpg

127 ms

deepfake-existence-01-mini.jpg

deepfake-existence-01-mini.jpg

128 ms

humanity-taught-data-storytelling-01-mini.jpg

humanity-taught-data-storytelling-01-mini.jpg

126 ms

improve-holiday-itinerary-with-machine-learning-01-mini.jpg

improve-holiday-itinerary-with-machine-learning-01-mini.jpg

93 ms

fascinating-relationship-between-ai-neuroscience-01-mini.jpg

fascinating-relationship-between-ai-neuroscience-01-mini.jpg

125 ms

control-exoskeleton-with-your-brain-01-mini.jpg

control-exoskeleton-with-your-brain-01-mini.jpg

127 ms

js

js

61 ms

analytics.js

analytics.js

18 ms

collect

collect

43 ms

flUhRq6tzZclQEJ-Vdg-IuiaDsNZ.ttf

flUhRq6tzZclQEJ-Vdg-IuiaDsNZ.ttf

52 ms

S6u9w4BMUTPHh7USSwiPHA.ttf

S6u9w4BMUTPHh7USSwiPHA.ttf

61 ms

S6uyw4BMUTPHjx4wWw.ttf

S6uyw4BMUTPHjx4wWw.ttf

64 ms

S6u9w4BMUTPHh6UVSwiPHA.ttf

S6u9w4BMUTPHh6UVSwiPHA.ttf

70 ms

collect

collect

32 ms

ga-audiences

ga-audiences

34 ms

Accessibility Review

jinglescode.github.io accessibility score

79

Accessibility Issues

Contrast

These are opportunities to improve the legibility of your content.

Impact

Issue

High

Background and foreground colors do not have a sufficient contrast ratio.

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

These items highlight common accessibility best practices.

Impact

Issue

High

[user-scalable="no"] is used in the <meta name="viewport"> element or the [maximum-scale] attribute is less than 5.

Best Practices

jinglescode.github.io best practices score

83

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

High

Includes front-end JavaScript libraries with known security vulnerabilities

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

SEO Factors

jinglescode.github.io SEO score

79

Search Engine Optimization Advices

Crawling and Indexing

To appear in search results, crawlers need access to your app.

Impact

Issue

High

Links are not crawlable

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 Jinglescode.github.io 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 Jinglescode.github.io 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

jinglescode.github.io

Open Graph data is detected on the main page of Jingles Code Github. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: