pythonot.github.io Pythonot.github.io

   
POT: Python Optimal Transport — POT Python Optimal Transport 0.9.5 documentation

Domain Summary

What percent of global Internet users visit Pythonot.github.io?

• 9.4E-6% of global Internet users visit Pythonot.github.io

How many people visit Pythonot.github.io each day?

• Pythonot.github.io receives approximately 462 visitors and 1,194 page impressions per day.

Which countries does Pythonot.github.io receive most of its visitors from?

• Pythonot.github.io is mostly visited by people located in United States,Germany,United Kingdom.

How much Pythonot.github.io can earn?

• Pythonot.github.io should earn about $3.96/day from advertising revenue.

What is Pythonot.github.io estimated value?

• Estimated value of Pythonot.github.io is $3,662.85.

What IP addresses does Pythonot.github.io resolve to?

• Pythonot.github.io resolves to the IP addresses 2606:50c0:8003::153, 185.199.111.153.

Where are Pythonot.github.io servers located in?

• Pythonot.github.io has servers located in California, United States.

pythonot.github.io Profile

Title:POT: Python Optimal Transport — POT Python Optimal Transport 0.9.5 documentation
Category:Science and Education / Math
Edit Site Info

What technologies does pythonot.github.io use?

These are the technologies used at pythonot.github.io. pythonot.github.io has a total of 6 technologies installed in 5 different categories.
CDN
Fastly Fastly
jsDelivr jsDelivr
PaaS
GitHub Pages GitHub Pages
Security
HSTS HSTS
JavaScript Libraries
jQuery jQuery
Caching
Varnish Varnish

pythonot.github.io Traffic Analysis

This website is viewed by an estimated 462 visitors daily, generating a total of 1.2K pageviews. This equates to about 14K monthly visitors. Pythonot.github.io traffic has increased by 35.22% compared to last month.
Daily Visitors462
59.85%
Monthly Visits14K
35.22%
Pages per Visit2.59
38.02%
Visit duration01:20
22.61%
Bounce Rate41.84%
33.3%
Is this your site?Verify your site's metrics.
Daily Unique Visitors:
462
Monthly Visits:
13,999
Pages per Visit:
2.59
Daily Pageviews:
1,194
Avg. visit duration:
01:20
Bounce rate:
41.84%
Global Reach:
9.4E-6%
Monthly Visits (SEMrush):
5,179
Monthly Unique Visitors (SEMrush):
2,970
Monthly Visits (SimilarWeb):
14,137
HypeRank:
n/a
SEMrush Rank:
3,568,186
SimilarWeb Rank:
1,429,580
*All traffic values are estimates only.

Traffic sources

Direct:
20.68%
Referral:
9.85%
Search:
65.46%
Social:
2.37%
Paid:
1.64%

Desktop vs Mobile

Desktop:
100.00%
Mobile:
0%

Total Visits Last 3 Months

9.6K
FEB
10.4K
MAR
14K
APR

Visitors by country

Country
Users%
 
United States 42.12%
 
Germany 34.17%
 
United Kingdom 4.52%
 
Japan 3.83%
 
Switzerland 2.97%

Which sites are competitors to pythonot.github.io?

Websites similar to pythonot.github.io are sites similar on user interests and browsing behavior. Users can discover new websites that are similar to the ones they already enjoy or find useful.
Last update was 7 days ago
     
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*HypeStat.com is not promoting or affiliated with pythonot.github.io in any way. Only publicly available statistics data are displayed.

Search Engine Indexes ▼

Search engine indexes are huge databases or collections of net pages that search engines like google like google and yahoo use to retrieve applicable facts while customers carry out searches. These indexes are created through search engines like google and yahoo through crawling and indexing net pages from throughout the internet.
Google Index:
413

  ▼

SEMrush is a complete on line advertising and marketing platform that gives a extensive variety of gear and functions to help companies and entrepreneurs in enhancing their on line visibility and optimizing their virtual advertising and marketing strategies.
SemRushSemRush
Domain:
  pythonot.github.io
Rank:
(Rank based on keywords, cost and organic traffic)
  3,568,186
Organic Keywords:
(Number of keywords in top 20 Google SERP)
  65
Organic Traffic:
(Number of visitors coming from top 20 search results)
  103
Organic Cost:
((How much need to spend if get same number of visitors from Google Adwords)
  $0.00
Full SEMrush Report >>

Revenue report ▼

Google.com would generate approximately $4 per day if the source of income were advertisements, which equates to an estimated monthly revenue of $118.8 and annual gross revenue of approximately $1.4K. Based on these figures, the site's net worth is estimated at around $3.7K.

How much would pythonot.github.io make?

Daily Revenue:
$3.96
Monthly Revenue:
$118.80
Yearly Revenue:
$1,445.40
*All earnings values are estimates only.

Daily earning by country

 
CountryPageviewsEarning
 
United States 503$2.43
 
Germany 408$0.57
 
Switzerland 36$0.20
 
United Kingdom 54$0.14
 
Japan 46$0.02

Loss of money due to Adblock?

Daily Revenue Loss:
$0.66
Monthly Revenue Loss:
$19.86
Yearly Revenue Loss:
$241.63
Daily Pageviews Blocked:
225
Monthly Pageviews Blocked:
6,758
Yearly Pageviews Blocked:
82,218

Daily revenue loss by country

 
CountryBlockedLost Money
 
United States 91$0.44
 
Germany 118$0.17
 
Switzerland 6$0.04
 
United Kingdom 9$0.02
 
Japan 1$0.00

How much is pythonot.github.io worth?

Website Value:
$3.7K

Ad Experience Report ▼

Summary of the ad experience rating of a website for a specific platform.

Mobile summary

Root domain:
pythonot.github.io
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Desktop summary

Root domain:
pythonot.github.io
Ad filtering:
(Chrome is not filtering ads on your site.)
Off
Status:
(The status of the site that is reviewed for the Better Ads Standards.)
Not reviewed

Abusive Experience Report ▼

Summary of the abusive experience rating of a website.
Root domain:
pythonot.github.io
Enforcement:
(Chrome is not preventing your site from opening new windows or tabs.)
Off
Status:
(The status of the site reviewed for the abusive experiences.)
Not reviewed

Where is pythonot.github.io hosted? ▼

Pythonot.github.io may be hosted in multiple data centers distributed in different locations around the world. This is probably just one of them.
Server IP:
2606:50c0:8003::153, 185.199.111.153
ASN:
AS54113 
ISP:
Fastly 
Server Location:
California, CA
United States, US
 

Other sites hosted on 185.199.111.153

How fast does pythonot.github.io load? ▼

The average loading time of pythonot.github.io is 119 ms. The Desktop speed index is 97 and mobile speed index is 64.
Average Load Time:
119 ms

Page Speed (Google PageSpeed Insights) - Desktop

97
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a FAST speed compared to other pages in the Chrome User Experience Report.We are showing the 90th percentile of FCP and the 95th percentile of FID.

Cumulative Layout Shift (CLS)6ms 91% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 91% 8% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 8% 0% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)534ms 88% of loads for this page have a fast (<0.8s) Time To First Byte (TTFB) 88% 8% of loads for this page have an average (0.8s ~ 1.8s) Time To First Byte (TTFB) 8% 3% of loads for this page have a slow (>1.8s) Time To First Byte (TTFB) 3%
First Contentful Paint (FCP)898ms 95% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 95% 1% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 1% 2% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 2%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average (0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)33ms 98% of loads for this page have a fast (<200ms) Interaction To Next Paint (INP) 98% 0% of loads for this page have an average (200ms ~ 500ms) Interaction To Next Paint (INP) 0% 1% of loads for this page have a slow (>500ms) Interaction To Next Paint (INP) 1%
Largest Contentful Paint (LCP)900ms 96% of loads for this page have a fast (<2500ms) Largest Contentful Paint (LCP) 96% 2% of loads for this page have an average (2500ms ~ 4000ms) Largest Contentful Paint (LCP) 2% 1% of loads for this page have a slow (>4000ms) Largest Contentful Paint (LCP) 1%

Origin Data

All pages served from this origin have an FAST speed compared to other pages in the Chrome User Experience Report. over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

Cumulative Layout Shift (CLS)5ms 87% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 87% 8% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 8% 3% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 3%
Time To First Byte (TTFB)322ms 94% of loads for this page have a fast (<0.8s) Time To First Byte (TTFB) 94% 4% of loads for this page have an average (0.8s ~ 1.8s) Time To First Byte (TTFB) 4% 1% of loads for this page have a slow (>1.8s) Time To First Byte (TTFB) 1%
First Contentful Paint (FCP)639ms 97% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 97% 1% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 1% 1% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 1%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average 0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interaction To Next Paint (INP)35ms 98% of loads for this page have a fast (<200ms) Interaction To Next Paint (INP) 98% 0% of loads for this page have an average (200ms ~ 500ms) Interaction To Next Paint (INP) 0% 0% of loads for this page have a slow (>500ms) Interaction To Next Paint (INP) 0%
Largest Contentful Paint (LCP)756ms 97% of loads for this page have a fast (<2500ms) Largest Contentful Paint (LCP) 97% 1% of loads for this page have an average (2500ms ~ 4000ms) Largest Contentful Paint (LCP) 1% 0% of loads for this page have a slow (>4000ms) Largest Contentful Paint (LCP) 0%

Lab Data

Improve image delivery  
Reducing the download time of images can improve the perceived load time of the page and LCP. Learn more about optimizing image size
First Contentful Paint 0.4 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric
Speed Index 0.7 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
Duplicated JavaScript  
Remove large, duplicate JavaScript modules from bundles to reduce unnecessary bytes consumed by network activity.
Max Potential First Input Delay 200 ms
The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric
Legacy JavaScript  
Polyfills and transforms enable legacy browsers to use new JavaScript features. However, many aren't necessary for modern browsers. Consider modifying your JavaScript build process to not transpile features, unless you know you must support legacy browsers. Baseline Learn why most sites can deploy ES6+ code without transpiling
Total Blocking Time 110 ms
Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric
Time to Interactive 1.2 s
Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric
Largest Contentful Paint 0.9 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
First Meaningful Paint  
First Meaningful Paint measures when the primary content of a page is visible. Learn more about the First Meaningful Paint metric
Lazy load third-party resources with facades  
Some third-party embeds can be lazy loaded. Consider replacing them with a facade until they are required. Learn how to defer third-parties with a facade
INP by phase  
Start investigating with the longest phase. To reduce processing duration, , often JS. Delays can be minimized optimize the main-thread costs

Page Speed (Google PageSpeed Insights) - Mobile

64
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a speed compared to other pages in the Chrome User Experience Report.We are showing the 90th percentile of FCP and the 95th percentile of FID.

Cumulative Layout Shift (CLS)0 91% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 88% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 95% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average (0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interactive To Next Paint (INP)0 98% of loads for this page have a fast (<0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have an average (0s ~ 0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have a slow (>0s) Interactive To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 96% of loads for this page have a fast (<0s) Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0s ~ 0s) Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0s) Largest Contentful Paint (LCP) 0%

Origin Data

All pages served from this origin have an speed compared to other pages in the Chrome User Experience Report. over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

Cumulative Layout Shift (CLS)0 0% of loads for this page have a fast (<0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have an average (0s ~ 0s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)0 0% of loads for this page have a fast (<0s) Time To First Byte (TTFB) 0% 0% of loads for this page have an average (0s ~ 0s) Time To First Byte (TTFB) 0% 0% of loads for this page have a slow (>0s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)0 0% of loads for this page have a fast (<0s) First Contentful Paint (FCP) 0% 0% of loads for this page have an average (0s ~ 0s) First Contentful Paint (FCP) 0% 0% of loads for this page have a slow (>0s) First Contentful Paint (FCP) 0%
First Input Delay (FID)0 0% of loads for this page have a fast (<0ms) First Input Delay (FID) 0% 0% of loads for this page have an average 0ms ~ 0ms) First Input Delay (FID) 0% 0% of loads for this page have a slow (>0ms) First Input Delay (FID) 0%
Interactive To Next Paint (INP)0 0% of loads for this page have a fast (<0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have an average (0s ~ 0s) Interactive To Next Paint (INP) 0% 0% of loads for this page have a slow (>0s) Interactive To Next Paint (INP) 0%
Largest Contentful Paint (LCP)0 0% of loads for this page have a fast (<0s)Largest Contentful Paint (LCP) 0% 0% of loads for this page have an average (0s ~ 0s)Largest Contentful Paint (LCP) 0% 0% of loads for this page have a slow (>0s)Largest Contentful Paint (LCP) 0%

Lab Data

First Meaningful Paint  
First Meaningful Paint measures when the primary content of a page is visible. Learn more about the First Meaningful Paint metric
Lazy load third-party resources with facades  
Some third-party embeds can be lazy loaded. Consider replacing them with a facade until they are required. Learn how to defer third-parties with a facade
Total Blocking Time 160 ms
Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. Learn more about the Total Blocking Time metric
Speed Index 5.1 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
Time to Interactive 6.5 s
Time to Interactive is the amount of time it takes for the page to become fully interactive. Learn more about the Time to Interactive metric
Legacy JavaScript  
Polyfills and transforms enable legacy browsers to use new JavaScript features. However, many aren't necessary for modern browsers. Consider modifying your JavaScript build process to not transpile features, unless you know you must support legacy browsers. Baseline Learn why most sites can deploy ES6+ code without transpiling
Max Potential First Input Delay 210 ms
The maximum potential First Input Delay that your users could experience is the duration of the longest task. Learn more about the Maximum Potential First Input Delay metric
First Contentful Paint 3.8 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric
Largest Contentful Paint 6.5 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
INP by phase  
Start investigating with the longest phase. To reduce processing duration, , often JS. Delays can be minimized optimize the main-thread costs
Duplicated JavaScript  
Remove large, duplicate JavaScript modules from bundles to reduce unnecessary bytes consumed by network activity.

Does pythonot.github.io use compression? ▼

Website compression is the process of reducing the size of website files, such as HTML, CSS, JavaScript, and image files, to improve website performance and load times. Compressing website files can significantly reduce the amount of data that needs to be transferred from the server to the user's browser, resulting in faster page load times and improved user experience. Files on pythonot.github.io are reduced by 73%.
pythonot.github.io use gzip compression.
Original size: 53.22 KB
Compressed size: 13.88 KB
File reduced by: 39.35 KB (73%)

Google Safe Browsing ▼

Google Safe Browsing is a service provided by Google that helps protect users from visiting websites that may contain malicious or harmful content, such as malware, phishing attempts, or deceptive software.
This site is not currently listed as suspicious

MyWot.com Reputation Ratings

MyWOT (short for "My Web of Trust") is a web-based reputation and rating service that provides users with information about the trustworthiness and safety of websites.
Status:
  SAFE

SSL Checker - SSL Certificate Verify ▼

An SSL (Secure Sockets Layer) certificate is a digital certificate that establishes a secure encrypted connection between a web server and a user's web browser. It provides authentication and encryption, ensuring that data transmitted between the server and the browser remains private and protected. pythonot.github.io supports HTTPS.
 pythonot.github.io supports HTTPS
     
Verifying SSL Support. Please wait...
Common Name: *.github.io
Organization:
Location:
Issuer: Sectigo RSA Domain Validation Secure Server CA
Valid from: Mar 7 00:00:00 2025 GMT
Valid until: Mar 7 23:59:59 2026 GMT
Authority: CA:FALSE
Keysize: 2048 Bits
Common Name: Sectigo RSA Domain Validation Secure Server CA
Organization: Sectigo Limited
Location: Salford, Greater Manchester, GB
Issuer: USERTrust RSA Certification Authority
Valid from: Nov 2 00:00:00 2018 GMT
Valid until: Dec 31 23:59:59 2030 GMT
Authority: CA:TRUE
Keysize: 2048 Bits
Common Name: USERTrust RSA Certification Authority
Organization: The USERTRUST Network
Location: Jersey City, New Jersey, US
Issuer: AAA Certificate Services
Valid from: Mar 12 00:00:00 2019 GMT
Valid until: Dec 31 23:59:59 2028 GMT
Authority: CA:TRUE
Keysize: 4096 Bits

Verify HTTP/2 Support ▼

HTTP/2 (Hypertext Transfer Protocol version 2) is a major revision of the HTTP protocol, which is the foundation of data communication on the World Wide Web. It was developed as an improvement over the previous HTTP/1.1 version to enhance web performance and efficiency.
 pythonot.github.io supports HTTP/2
     
Verifying HTTP/2.0 Support. Please wait...

Http Header ▼

HTTP headers are extra portions of records despatched among a consumer (which include an internet browser) and a server at some stage in an HTTP request or response. They offer instructions, metadata, or manipulate parameters for the conversation among the consumer and server. 
server: GitHub.com
content-type: text/html; charset=utf-8
x-origin-cache: HIT
last-modified: Mon, 02 Jun 2025 14:26:40 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"683db4a0-d4e5"
expires: Sat, 07 Jun 2025 08:07:02 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: EDF6:20F7CE:149B7F8:14D0AE4:6843F0CE
accept-ranges: bytes
age: 0
date: Sat, 07 Jun 2025 07:57:02 GMT
via: 1.1 varnish
x-served-by: cache-fra-eddf8230098-FRA
x-cache: MISS
x-cache-hits: 0
x-timer: S1749283022.112310,VS0,VE96
vary: Accept-Encoding
x-fastly-request-id: 8eae9e2e7ed1ac6e3712c31ee18baca12a989865
content-length: 14208

DNS Lookup ▼

DNS entries (Domain Name System) are a critical component of the Internet infrastructure. They act as directories that translate human-readable domain names (such as example.com) to machine-readable IP addresses. DNS records are stored on DNS servers and help forward internet traffic efficiently.
Type Ip Target/Txt TTL
A 185.199.109.153 3531
A 185.199.110.153 3531
A 185.199.111.153 3531
A 185.199.108.153 3531
AAAA 2606:50c0:8002::153 3531
AAAA 2606:50c0:8001::153 3531
AAAA 2606:50c0:8000::153 3531
AAAA 2606:50c0:8003::153 3531

Whois Lookup ▼

Domain WHOIS is a public database that provides information about domain names, including registered owners, contact information, domain registrars, registration and expiration dates, name servers, and other relevant information.
WhoIs:
 

Malformed request.
>>> Last update of WHOIS database: 2025-06-07T07:58:09Z