Tools & Wizards About Us
stackvidhya.com screenshot

Report Summary

  • 72

    Performance

    Renders faster than
    82% of other websites

  • 100

    Accessibility

    Visual factors better than
    that of 97% of websites

  • 92

    Best Practices

    More advanced features
    available than in
    80% of websites

  • 100

    SEO

    Google-friendlier than
    94% of websites

stackvidhya.com

Definitive Python, AWS, And Machine Learning Tutorials - Stack Vidhya

Page Load Speed

2.1 sec in total

First Response

419 ms

Resources Loaded

1.5 sec

Page Rendered

209 ms

stackvidhya.com screenshot

About Website

Click here to check amazing Stack Vidhya content for United States. Otherwise, check out these important facts you probably never knew about stackvidhya.com

Definitive Python, Pandas, Machine learning and AWS tutorials with working examples and step by step guides.

Visit stackvidhya.com

Key Findings

We analyzed Stackvidhya.com page load time and found that the first response time was 419 ms and then it took 1.7 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 35% of websites can load faster.

Performance Metrics

stackvidhya.com performance score

72

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value3.5 s

35/100

10%

LCP (Largest Contentful Paint)

Value3.5 s

64/100

25%

SI (Speed Index)

Value3.7 s

86/100

10%

TBT (Total Blocking Time)

Value310 ms

78/100

30%

CLS (Cumulative Layout Shift)

Value0

100/100

15%

TTI (Time to Interactive)

Value7.0 s

53/100

10%

Network Requests Diagram

www.stackvidhya.com

419 ms

css

36 ms

27595ed4b1784512b9b86cc1aaf3a984.css

509 ms

stack-vidhya.js

19 ms

smush-lazy-load.min.js

10 ms

Our browser made a total of 6 requests to load all elements on the main page. We found that 67% of them (4 requests) were addressed to the original Stackvidhya.com, 17% (1 request) were made to Fonts.googleapis.com and 17% (1 request) were made to Scripts.mediavine.com. The less responsive or slowest element that took the longest time to load (509 ms) belongs to the original domain Stackvidhya.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 79.4 kB (59%)

Content Size

135.0 kB

After Optimization

55.6 kB

  • HTML
  • JavaScript
  • CSS

In fact, the total size of Stackvidhya.com main page is 135.0 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. Only 5% of websites need less resources to load. HTML takes 102.7 kB which makes up the majority of the site volume.

HTML Optimization

-77%

Potential reduce by 79.4 kB

  • Original 102.7 kB
  • After minification 101.8 kB
  • After compression 23.3 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 79.4 kB or 77% of the original size.

JavaScript Optimization

-0%

Potential reduce by 7 B

  • Original 6.7 kB
  • After minification 6.7 kB
  • After compression 6.7 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.

CSS Optimization

-0%

Potential reduce by 0 B

  • Original 25.6 kB
  • After minification 25.6 kB
  • After compression 25.6 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. Stackvidhya.com has all CSS files already compressed.

Requests Breakdown

We found no issues to fix!

Requests Now

5

After Optimization

5

  • JavaScript
  • CSS

The browser has sent 5 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Stack Vidhya. According to our analytics all requests are already optimized.

Network Requests Diagram

www.stackvidhya.com

www.stackvidhya.com

419 ms

css

css

36 ms

27595ed4b1784512b9b86cc1aaf3a984.css

27595ed4b1784512b9b86cc1aaf3a984.css

509 ms

stack-vidhya.js

stack-vidhya.js

19 ms

smush-lazy-load.min.js

smush-lazy-load.min.js

10 ms

lazyload.min.js

lazyload.min.js

225 ms

Accessibility Review

stackvidhya.com accessibility score

100

Accessibility Issues

Best Practices

stackvidhya.com best practices score

92

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

High

Page has valid source maps

SEO Factors

stackvidhya.com SEO score

100

Search Engine Optimization Advices

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 Stackvidhya.com 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 Stackvidhya.com 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

stackvidhya.com

Open Graph data is detected on the main page of PARSED_DOMAIN, but there is no image specified in description. It would be a good idea for the website admin to select a nice image that can properly represent the website in Open Graph data, otherwise the first found image will be taken for this purpose and social media information block will look like this: