open-dict-data.github.io Open-dict-data.github.io

   
Open-dict-data | Open-licensed dictionary data

Domain Summary

What is the traffic rank for Open-dict-data.github.io?

• Open-dict-data.github.io ranks #5,065,461 globally on HypeStat.

What percent of global Internet users visit Open-dict-data.github.io?

4.2E-6% of global Internet users visit Open-dict-data.github.io

How many people visit Open-dict-data.github.io each day?

• Open-dict-data.github.io receives approximately 209 visitors and 270 page impressions per day.

Which countries does Open-dict-data.github.io receive most of its visitors from?

• Open-dict-data.github.io is mostly visited by people located in Sweden,United States,Russian Federation.

How much Open-dict-data.github.io can earn?

• Open-dict-data.github.io should earn about $0.64/day from advertising revenue.

What is Open-dict-data.github.io estimated value?

• Estimated value of Open-dict-data.github.io is $588.53.

What IP addresses does Open-dict-data.github.io resolve to?

• Open-dict-data.github.io resolves to the IP addresses 2606:50c0:8003::153, 185.199.109.153.

Where are Open-dict-data.github.io servers located in?

• Open-dict-data.github.io has servers located in San Francisco, California, 94107, United States.

open-dict-data.github.io Profile

Title:open-dict-data | Open-licensed dictionary data

What technologies does open-dict-data.github.io use?

These are the technologies used at open-dict-data.github.io. open-dict-data.github.io has a total of 6 technologies installed in 5 different categories.

open-dict-data.github.io Traffic Analysis

Open-dict-data.github.io is ranked #5,065,461 in the world. This website is viewed by an estimated 209 visitors daily, generating a total of 270 pageviews. This equates to about 6.3K monthly visitors. Open-dict-data.github.io traffic has decreased by 29.92% compared to last month.
Daily Visitors209
36.04%
Monthly Visits6.3K
29.92%
Pages per Visit1.29
56.76%
Visit duration00:18
1375%
Bounce Rate53.79%
67.28%
Is this your site?Verify your site's metrics.
Daily Unique Visitors:
209
Monthly Visits:
6,333
Pages per Visit:
1.29
Daily Pageviews:
270
Avg. visit duration:
00:18
Bounce rate:
53.79%
Global Reach:
4.2E-6%
Monthly Visits (SEMrush):
2,143
Monthly Unique Visitors (SEMrush):
1,901
Monthly Visits (SimilarWeb):
6,342
HypeRank:
5,065,461
SEMrush Rank:
4,530,493
SimilarWeb Rank:
3,880,633
*All traffic values are estimates only.

Traffic sources

Direct:
5.60%
Referral:
7.09%
Search:
46.66%
Social:
18.95%
Paid:
21.70%

Desktop vs Mobile

Desktop:
100.00%
Mobile:
0%

Total Visits Last 3 Months

5.2K
SEP
9K
OCT
6.3K
NOV

Visitors by country

Country
Users%
 
Sweden 28.31%
 
United States 24.58%
 
Russian Federation 23.27%
 
Viet Nam 10.97%
 
Canada 6.27%
Last update was 95 days ago
     
This can take up to 60 seconds. Please wait...

*HypeStat.com is not promoting or affiliated with open-dict-data.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:
32

 

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:
  open-dict-data.github.io
Rank:
(Rank based on keywords, cost and organic traffic)
  4,530,493
Organic Keywords:
(Number of keywords in top 20 Google SERP)
  81
Organic Traffic:
(Number of visitors coming from top 20 search results)
  63
Organic Cost:
((How much need to spend if get same number of visitors from Google Adwords)
  $3.00

Revenue report

Google.com would generate approximately $0.6 per day if the source of income were advertisements, which equates to an estimated monthly revenue of $19.2 and annual gross revenue of approximately $233.6. Based on these figures, the site's net worth is estimated at around $588.5.

How much would open-dict-data.github.io make?

Daily Revenue:
$0.64
Monthly Revenue:
$19.20
Yearly Revenue:
$233.60
*All earnings values are estimates only.

Daily earning by country

 
CountryPageviewsEarning
 
United States 66$0.32
 
Sweden 76$0.10
 
Canada 17$0.10
 
Russian Federation 63$0.03
 
Viet Nam 30$0.01

Loss of money due to Adblock?

Daily Revenue Loss:
$0.11
Monthly Revenue Loss:
$3.43
Yearly Revenue Loss:
$41.70
Daily Pageviews Blocked:
43
Monthly Pageviews Blocked:
1,276
Yearly Pageviews Blocked:
15,524

Daily revenue loss by country

 
CountryBlockedLost Money
 
United States 12$0.06
 
Sweden 21$0.03
 
Canada 4$0.03
 
Russian Federation 4$0.00
 
Viet Nam 1$0.00

How much is open-dict-data.github.io worth?

Website Value:
$588.5

Ad Experience Report

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

Mobile summary

Root domain:
open-dict-data.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:
open-dict-data.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:
open-dict-data.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 open-dict-data.github.io hosted?

Open-dict-data.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, 185.199.109.153
ASN:
AS54113 
ISP:
Fastly 
Server Location:
San Francisco
California, CA
94107
United States, US
 

Other sites hosted on 185.199.109.153

How fast does open-dict-data.github.io load?

The average loading time of open-dict-data.github.io is 50 ms. The Desktop speed index is 96 and mobile speed index is 94.
Average Load Time:
50 ms

Page Speed (Google PageSpeed Insights) - Desktop

96
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)0ms 98% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 98% 1% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 1% 0% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)335ms 96% of loads for this page have a fast (<0.8s) Time To First Byte (TTFB) 96% 3% of loads for this page have an average (0.8s ~ 1.8s) Time To First Byte (TTFB) 3% 0% of loads for this page have a slow (>1.8s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)956ms 92% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 92% 4% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 4% 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)101ms 81% of loads for this page have a fast (<200ms) Interaction To Next Paint (INP) 81% 9% of loads for this page have an average (200ms ~ 500ms) Interaction To Next Paint (INP) 9% 8% of loads for this page have a slow (>500ms) Interaction To Next Paint (INP) 8%
Largest Contentful Paint (LCP)990ms 95% of loads for this page have a fast (<2500ms) Largest Contentful Paint (LCP) 95% 3% of loads for this page have an average (2500ms ~ 4000ms) Largest Contentful Paint (LCP) 3% 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)0ms 98% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 98% 1% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 1% 0% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)335ms 96% of loads for this page have a fast (<0.8s) Time To First Byte (TTFB) 96% 3% of loads for this page have an average (0.8s ~ 1.8s) Time To First Byte (TTFB) 3% 0% of loads for this page have a slow (>1.8s) Time To First Byte (TTFB) 0%
First Contentful Paint (FCP)956ms 92% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 92% 4% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 4% 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)101ms 81% of loads for this page have a fast (<200ms) Interaction To Next Paint (INP) 81% 9% of loads for this page have an average (200ms ~ 500ms) Interaction To Next Paint (INP) 9% 8% of loads for this page have a slow (>500ms) Interaction To Next Paint (INP) 8%
Largest Contentful Paint (LCP)990ms 95% of loads for this page have a fast (<2500ms) Largest Contentful Paint (LCP) 95% 3% of loads for this page have an average (2500ms ~ 4000ms) Largest Contentful Paint (LCP) 3% 1% of loads for this page have a slow (>4000ms) Largest Contentful Paint (LCP) 1%

Lab Data

Max Potential First Input Delay 20 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
Largest Contentful Paint 0.6 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
Total Blocking Time 0 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
Largest Contentful Paint image was not lazily loaded  
Above-the-fold images that are lazily loaded render later in the page lifecycle, which can delay the largest contentful paint. Learn more about optimal lazy loading
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
Time to Interactive 0.6 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
First Meaningful Paint  
First Meaningful Paint measures when the primary content of a page is visible. Learn more about the First Meaningful Paint metric
Preload Largest Contentful Paint image  
If the LCP element is dynamically added to the page, you should preload the image in order to improve LCP. Learn more about preloading LCP elements
Speed Index 0.6 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
First Contentful Paint 0.6 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First Contentful Paint metric

Page Speed (Google PageSpeed Insights) - Mobile

94
0-49 50-89 90-100 i

Field Data

Over the last 30 days, the field data shows that this page has a AVERAGE 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)0ms 98% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 100% 0% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)376ms 96% of loads for this page have a fast (<800s) Time To First Byte (TTFB) 94% 4% of loads for this page have an average (800s ~ 1800s) Time To First Byte (TTFB) 4% 1% of loads for this page have a slow (>1800s) Time To First Byte (TTFB) 1%
First Contentful Paint (FCP)1.3s 92% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 84% 9% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 9% 5% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 5%
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)203ms 81% of loads for this page have a fast (<200s) Interactive To Next Paint (INP) 74% 13% of loads for this page have an average (200s ~ 500s) Interactive To Next Paint (INP) 13% 12% of loads for this page have a slow (>500s) Interactive To Next Paint (INP) 12%
Largest Contentful Paint (LCP)1.3s 95% of loads for this page have a fast (<2500s) Largest Contentful Paint (LCP) 93% 4% of loads for this page have an average (2500s ~ 4000s) Largest Contentful Paint (LCP) 4% 2% of loads for this page have a slow (>4000s) Largest Contentful Paint (LCP) 2%

Origin Data

All pages served from this origin have an AVERAGE 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)0ms 100% of loads for this page have a fast (<0.01s) Cumulative Layout Shift (CLS) 100% 0% of loads for this page have an average (0.01s ~ 0.025s) Cumulative Layout Shift (CLS) 0% 0% of loads for this page have a slow (>0.025s) Cumulative Layout Shift (CLS) 0%
Time To First Byte (TTFB)376ms 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)1.3s 84% of loads for this page have a fast (<1.8s) First Contentful Paint (FCP) 84% 9% of loads for this page have an average (1.8s ~ 3s) First Contentful Paint (FCP) 9% 5% of loads for this page have a slow (>3s) First Contentful Paint (FCP) 5%
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)203ms 74% of loads for this page have a fast (<0.2s) Interactive To Next Paint (INP) 74% 13% of loads for this page have an average (0.2s ~ 0.5s) Interactive To Next Paint (INP) 13% 12% of loads for this page have a slow (>0.5s) Interactive To Next Paint (INP) 12%
Largest Contentful Paint (LCP)1.3s 93% of loads for this page have a fast (<2.5s)Largest Contentful Paint (LCP) 93% 4% of loads for this page have an average (2.5s ~ 4s)Largest Contentful Paint (LCP) 4% 2% of loads for this page have a slow (>4s)Largest Contentful Paint (LCP) 2%

Lab Data

First Contentful Paint 2.5 s
First Contentful Paint marks the time at which the first text or image is painted. Learn more about the First 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
Largest Contentful Paint 2.5 s
Largest Contentful Paint marks the time at which the largest text or image is painted. Learn more about the Largest Contentful Paint metric
Max Potential First Input Delay 20 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
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
Speed Index 2.5 s
Speed Index shows how quickly the contents of a page are visibly populated. Learn more about the Speed Index metric
Preload Largest Contentful Paint image  
If the LCP element is dynamically added to the page, you should preload the image in order to improve LCP. Learn more about preloading LCP elements
Total Blocking Time 0 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
Largest Contentful Paint image was not lazily loaded  
Above-the-fold images that are lazily loaded render later in the page lifecycle, which can delay the largest contentful paint. Learn more about optimal lazy loading
Time to Interactive 2.5 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

Does open-dict-data.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 open-dict-data.github.io are reduced by 53%.
open-dict-data.github.io use gzip compression.
Original size: 2.17 KB
Compressed size: 1.02 KB
File reduced by: 1.15 KB (53%)

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. open-dict-data.github.io supports HTTPS.
 open-dict-data.github.io supports HTTPS
     
Verifying SSL Support. Please wait...
Common Name: *.github.io
Organization: "GitHub, Inc."
Location: San Francisco, California, US
Issuer: DigiCert Global G2 TLS RSA SHA256 2020 CA1
Valid from: Mar 15 00:00:00 2024 GMT
Valid until: Mar 14 23:59:59 2025 GMT
Authority: CA:FALSE
Keysize: 2048 Bits
Common Name: DigiCert Global G2 TLS RSA SHA256 2020 CA1
Organization: DigiCert Inc
Location: US
Issuer: DigiCert Global Root G2
Valid from: Mar 30 00:00:00 2021 GMT
Valid until: Mar 29 23:59:59 2031 GMT
Authority: CA:TRUE
Keysize: 2048 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.
 open-dict-data.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
permissions-policy: interest-cohort=()
last-modified: Sun, 03 Nov 2024 21:47:21 GMT
access-control-allow-origin: *
strict-transport-security: max-age=31556952
etag: W/"6727ef69-8b1"
expires: Thu, 19 Dec 2024 17:44:59 GMT
cache-control: max-age=600
content-encoding: gzip
x-proxy-cache: MISS
x-github-request-id: 728B:2B3812:10F9FD:12374B:67645943
accept-ranges: bytes
age: 0
date: Thu, 19 Dec 2024 17:34:59 GMT
via: 1.1 varnish
x-served-by: cache-chi-klot8100152-CHI
x-cache: MISS
x-cache-hits: 0
x-timer: S1734629700.783915,VS0,VE32
vary: Accept-Encoding
x-fastly-request-id: fb01ae9292d341c3c0039772393b6830dda05af8
content-length: 1045

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
AAAA 2606:50c0:8000::153 3562
AAAA 2606:50c0:8001::153 3562
AAAA 2606:50c0:8002::153 3562
AAAA 2606:50c0:8003::153 3562
A 185.199.108.153 3562
A 185.199.110.153 3562
A 185.199.109.153 3562
A 185.199.111.153 3562

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: 2024-12-19T17:35:37Z