1.9 sec in total
172 ms
1.1 sec
565 ms
Visit jupyter.org now to see the best up-to-date Jupyter content for China and also check out these interesting facts you probably never knew about jupyter.org
The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.
Visit jupyter.orgWe analyzed Jupyter.org page load time and found that the first response time was 172 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 30% of websites can load faster.
jupyter.org performance score
name
value
score
weighting
Value1.3 s
98/100
10%
Value2.1 s
95/100
25%
Value1.3 s
100/100
10%
Value0 ms
100/100
30%
Value0
100/100
15%
Value1.3 s
100/100
10%
172 ms
20 ms
8 ms
39 ms
141 ms
Our browser made a total of 81 requests to load all elements on the main page. We found that 65% of them (53 requests) were addressed to the original Jupyter.org, 14% (11 requests) were made to and 6% (5 requests) were made to Buttons.github.io. The less responsive or slowest element that took the longest time to load (333 ms) belongs to the original domain Jupyter.org.
Page size can be reduced by 216.6 kB (37%)
577.6 kB
361.1 kB
In fact, the total size of Jupyter.org main page is 577.6 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. 70% of websites need less resources to load. Images take 329.3 kB which makes up the majority of the site volume.
Potential reduce by 23.2 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 9.2 kB, which is 31% 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 23.2 kB or 79% of the original size.
Potential reduce by 39.7 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. Obviously, Jupyter needs image optimization as it can save up to 39.7 kB or 12% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.
Potential reduce by 29.3 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 29.3 kB or 43% of the original size.
Potential reduce by 124.4 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. Jupyter.org needs all CSS files to be minified and compressed as it can save up to 124.4 kB or 83% of the original size.
Number of requests can be reduced by 15 (23%)
66
51
The browser has sent 66 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Jupyter. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 12 to 1 for JavaScripts and from 5 to 1 for CSS and as a result speed up the page load time.
jupyter.org
172 ms
cloudflare.min.js
20 ms
bootstrap.min.css
8 ms
logo-nav.css
39 ms
kpd5yrh.js
141 ms
jquery.js
19 ms
bootstrap.min.js
47 ms
buttons.js
117 ms
scroll.js
21 ms
architecture.js
56 ms
simon.js
18 ms
main.js
18 ms
d
245 ms
analytics.js
148 ms
ga.js
174 ms
nav_logo.svg
129 ms
circle1.svg
124 ms
circle2.svg
143 ms
circle3.svg
129 ms
main-logo.svg
161 ms
white-background.svg
134 ms
notebookicon.svg
149 ms
jupyterpreview.png
184 ms
language.svg
138 ms
share.svg
137 ms
widget.svg
153 ms
spark.svg
156 ms
google.svg
164 ms
Microsoft.svg
162 ms
IBM.svg
229 ms
bloomberg.svg
192 ms
oreilly.svg
186 ms
continuum.svg
170 ms
rackspace.svg
165 ms
quantopian.svg
172 ms
netapp.svg
172 ms
carpentry.svg
175 ms
janelia.svg
197 ms
codeneuro.svg
180 ms
nsite.svg
205 ms
smc-logo-jupyter.svg
184 ms
brynmawr.svg
228 ms
calpoly.svg
333 ms
Berkeley.svg
193 ms
sheffield.svg
199 ms
washington.svg
214 ms
northwestern.svg
205 ms
NYU.svg
216 ms
NASA.svg
208 ms
hublogo.svg
220 ms
line.svg
225 ms
widgets.js
171 ms
authentication.svg
194 ms
central.svg
191 ms
container.svg
198 ms
data.svg
209 ms
architectureicon2.svg
186 ms
notebook-format.svg
180 ms
protocol.svg
186 ms
kernel.svg
177 ms
EdvKW0PA==
107 ms
xHbyltDw=
106 ms
xHbyltDw=
105 ms
xHbyltDw=
103 ms
7kfvgLMo8LoAA==
102 ms
Hv+5H74CzKPC6AA=
101 ms
Hv+5H74CzKPC6AA=
101 ms
Hv+5H74CzKPC6AA=
100 ms
7kfvgLMo8LoAA==
99 ms
Hv+5H74CzKPC6AA=
98 ms
7kfvgLMo8LoAA==
98 ms
buttons.css
91 ms
collect
76 ms
button.831500944bc3eb7ea5276ccdc3f71d2e.js
91 ms
__utm.gif
85 ms
collect
112 ms
p.gif
127 ms
buttons.html
26 ms
follow_button.6a78875565a912489e9aef879c881358.en.html
20 ms
octicons.css
24 ms
octicons.woff
49 ms
jupyter.org accessibility score
jupyter.org best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Ensure CSP is effective against XSS attacks
jupyter.org SEO score
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
Document uses legible font sizes
EN
N/A
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Jupyter.org can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and neither this language nor any other was claimed in <html> or <meta> tags. Our system also found out that Jupyter.org 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.
jupyter.org
Open Graph data is detected on the main page of Jupyter. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: