veusz.github.io


veusz.github.io Website Info

veusz.github.io (Veusz is an open-source scientific plotting software that allows users to create detailed and customizable 2D and 3D graphs. It supports various data formats and provides a user-friendly interface for data visualization and analysis, making it a valuable tool for researchers and scientists.) DNS looks Active and website looks Accessable. veusz.github.io Website SEMRush Rank is 1,704,455. According to Google, website speed score is 100/100 and FAST. Website looks safe for children.
veusz.github.io


veusz.github.io Website Tags

Domain Status:
✓ Active
Is Site Accessable?:
✓ Yes
SSL(https):
✓ Yes
Title:
Veusz - Scientific Plotting and Graphing Software
Description:
Veusz is a scientific plotting application designed for creating high-quality graphs and plots. It offers flexible customization options and is suitable for researchers and scientists.
Categories :
Internet Services, Information Technology
Mobile Friendly?:
✓ Yes
Canonical URL:
[Not Set]

veusz.github.io Domain & Whois Details

Refresh
Server Type:
GitHub.com
Hosting Location:
Country:United States, City:San Francisco, Isp:Fastly, Inc., Org:GitHub, Inc
IP:
185.199.108.153 , 185.199.109.153 , 185.199.110.15

veusz.github.io Backlinks & Rankings

SEMRush Rank:
1,704,455
Semrush Rank is a proprietary score that lets you find the domains that are getting the most traffic from organic search.
SEMRush Traffic:
443
Number of users expected to visit the website during the following month.
SEMRush Costs:
200
Estimated price of organic keywords in Google AdWords.
SEMRush URL Links:
41
Number of links to URL according to SemRush.
SEMRush Website Links:
16,207
Number of links to the website according to SemRush.
SEMRush Domain Links:
448,270,914
Number of links to SemRush Domain.
SEMRush Keywords In Top 100:
152
Number of keywords where site in Google's organic search top 100.

veusz.github.io Social Media

Facebook Comments:
23
Facebook Shares:
21
Facebook Reactions:
23

veusz.github.io Website Speed (Desktop)

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Overall Category:
FAST
The human readable speed "category"
Speed Index:
100
Speed Index shows how quickly the contents of a page are visibly populated. [Learn more about the Speed Index metric].
Cumulative Layout Shift (CLS):
0.06 (FAST)
The Cumulative Layout Shift (CLS) metric measures how much unexpected layout shifts affect the user experience on a page. These layout shifts occur when content moves around without prior user input. CLS
Time to First Byte (TTFB):
0.422 s (FAST)
TTFB (time to first byte) is the number of milliseconds it takes for a client’s browser to receive the first byte of the response from the web server. Usually, TTFB can be improved with faster hosting and server optimizations. TTFB
First Input Delay (FID):
2 ms (FAST)
First Input Delay (FID) measures the time from when the user interacts with your site for the first time (click a link, tap on a button, etc.) to the time when the browser is able to respond to that interaction. Google recommends keeping FID below 100ms for a good user experience. FID
First Contentful Paint (FCP):
0.897 s (FAST)
FCP (First Contentful Paint) measures the time from a user’s navigation to when the browser renders the first bit of content from the DOM. In other words, FCP marks the time at which the first text or image is painted for the user. According to PageSpeed Insights, FCP should occur in under 2 seconds. FCP
Interaction to Next Paint (INP):
11 ms (FAST)
Interaction to Next Paint (INP) is a web performance metric that measures user interface responsiveness – how quickly a website responds to user interactions like clicks or key presses. Specifically, it measures how much time elapses between a user interaction like a click or key press and the next time the user sees a visual update on the page. INP
Largest Contentful Paint (LCP):
1.095 s (FAST)
Largest Contentful Paint (LCP) is a metric that measures when the largest content in the viewport is rendered. It is used to measure how long it takes for the main content of your webpage to appear on the screen. Everything below 2.5s is considered good LCP time by PageSpeed Insights. LCP
Total Size:
396 KB
Total Size. Large network payloads cost users real money and are highly correlated with long load times.
Server Response Time:
37 ms
Initial server response time. Keep the server response time for the main document short because all other requests depend on it. [Learn more about the Time to First Byte metric](https://developer.chrome.com/docs/lighthouse/performance/time-to-first-byte/).
Final Url:
https://veusz.github.io/
Canonicalized and final URL for the document, after following page redirects (if any).
Last Date Checked:
5/23/2023 11:07:27 AM
The last time we checked this website.

veusz.github.io HTML Resources

Type
Request Count
Size
Total
10
396 KB
Third-party
10
396 KB
Image
4
298 KB
Script
2
93 KB
Document
1
2 KB
Stylesheet
1
1 KB
Other
2
0 KB
Media
0
0 KB
Font
0
0 KB

veusz.github.io Website Safety

Refresh
Last Check Date:
11/12/2022 10:28:26 PM
Fortiguard:
Information Technology
Mcafee Category:
Internet Services
OpenDNS:
Software/Technology
Cloudflare DNS:
OK
MyWot Child Safety:
99

veusz.github.io HTTP Headers

Refresh
Accept-Ranges :
bytes
Access-Control-Allow-Origin :
*
Age :
0
Cache-Control :
max-age=600
Connection :
keep-alive
Content-Length :
3417
Content-Type :
text/html; charset=utf-8
Date :
Sat, 13 May 2023 15:05:43 GMT
ETag :
"63fb8bac-d59"
expires :
Sat, 13 May 2023 15:15:43 GMT
Last-Modified :
Sun, 26 Feb 2023 16:41:16 GMT
Permissions-Policy :
interest-cohort=()
Server :
GitHub.com
strict-transport-security :
max-age=31556952
Vary :
Accept-Encoding
Via :
1.1 varnish
X-Cache :
MISS
x-cache-hits :
0
X-Fastly-Request-ID :
42314708e124a9606ae2de623f712f2b8884763d
X-GitHub-Request-Id :
0C4C:0D43:2FCEFD4:4718B9B:645FA747
X-Proxy-Cache :
MISS
X-Served-By :
cache-lga21956-LGA
X-Timer :
S1683990343.395988,VS0,VE12


veusz.github.io W3C HTML Validation Check Now

Last Check Date:
5/27/2023 12:00:00 AM
Errors:
0
Warnings:
0
Info:
1

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veusz.github.io Site Keywords

a scientific plotting package
data visualization
GitHub Pages
graphing software
research tools
scientific plotting

veusz.github.io Site H Tags

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