julialang.org


julialang.org Website Info

julialang.org (Julia is a high-level, high-performance programming language designed for technical and scientific computing. It combines the ease of use of scripting languages with the speed of compiled languages, making it ideal for data analysis, machine learning, and computational projects. The official website provides resources, documentation, community forums, and downloads to help users leverage Julia's capabilities.) was registered first at 2011-05-18 11:47:19. It's hosted by Fastly. DNS looks Active and website looks Accessable. There is also a page about the julialang.org on Wikipedia.julialang.org Website SEMRush Rank is 45,352. julialang.org seems popular on facebook. According to Google, website speed score is 91/100 and FAST. Website looks safe for children. We detected the website language as en.
julialang.org


julialang.org Website Tags

Domain Status:
✓ Active
Is Site Accessable?:
✓ Yes
SSL(https):
✓ Yes
Accessable Url:
Title:
Julia Language - The Fast, Flexible, Open-Source Programming Language
Description:
Official website of Julia Language. Discover powerful tools for numerical analysis, data science, machine learning, and high-performance computing. Learn more about Julia today.
Wiki:
Dynamic programming language Julia is a high-level, general-purpose dynamic programming language. Its features are well suited for numerical analysis and computational science.Distinctive aspects of Julia's design include a type system with parametric polymorphism in a dynamic programming language; with multiple dispatch as its core programming paradigm. Julia supports concurrent, (composable) parallel and distributed computing (with or without using MPI or the built-in corresponding to "OpenMP-style" threads), and direct calling of C and Fortran libraries without glue code. Julia uses a just-in-time (JIT) compiler that is referred to as "just-ahead-of-time" (JAOT) in the Julia community, as Julia compiles all code (by default) to machine code before running it.Julia is garbage-collected, uses eager evaluation, and includes efficient libraries for floating-point calculations, linear algebra, random number generation, and regular expression matching. Many libraries are available, including some (e.g., for fast Fourier transforms) that were previously bundled with Julia and are now separate.Several development tools support coding in Julia, such as integrated development environments (e.g. https://en.wikipedia.org/wiki/Julialang.org
Categories :
Technical Information, Information Technology
External Links:
136
Internal Links:
65
Mobile Friendly?:
✓ Yes
Canonical URL:
[Not Set]
Language:
en
XML Sitemap:
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robots.txt:
✓ Yes https://julialang.org/robots.txt
Favicon:
✗ No

julialang.org Domain & Whois Details

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Domain Create Date:
2011-05-18 11:47:19
Domain Age:
14 years, 1 months, 16 days
Domain Expire Date:
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Domain Last Update Date:
Registrar Registration
Domain Owner:
NameCheap, Inc.
Server Type:
GitHub.com
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DNS1.REGISTRAR-SERVERS.COM - DNS2.REGISTRAR-SERVERS.CO
Hosting Location:
US - UNITED STATES
Hosting Provider:
Fastly
IP:
151.101.2.49 , 151.101.66.49 , 151.101.130.49

julialang.org Backlinks & Rankings

SEMRush Rank:
45,352
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SEMRush Traffic:
60,220
Number of users expected to visit the website during the following month.
SEMRush Costs:
35,000
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36,572
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SEMRush Website Links:
239,979
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407,332
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SEMRush Keywords In Top 100:
37,819
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julialang.org Website Speed (Desktop)

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The human readable speed "category"
Speed Index:
91
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Cumulative Layout Shift (CLS):
0.01 (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):
0.355 s (FAST)
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First Input Delay (FID):
2 ms (FAST)
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First Contentful Paint (FCP):
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Interaction to Next Paint (INP):
38 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):
1.341 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:
4617 KB
Total Size. Large network payloads cost users real money and are highly correlated with long load times.
Server Response Time:
121 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://julialang.org/
Canonicalized and final URL for the document, after following page redirects (if any).
Last Date Checked:
6/27/2023 3:11:16 AM
The last time we checked this website.

julialang.org HTML Resources

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julialang.org Website Safety

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Last Check Date:
5/31/2023 12:27:48 PM
Fortiguard:
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Mcafee Category:
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OpenDNS:
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Cloudflare DNS:
OK
MyWot Child Safety:
94

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julialang.org W3C HTML Validation Check Now

Last Check Date:
5/31/2023 12:00:00 AM
Errors:
12
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julialang.org Site Keywords

data science
high-performance computing
julia
julia lang
julia language
julia programming
julia programming language
machine learning
numerical analysis
open-source

julialang.org Site H Tags

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h1
The Julia Programming Language
h2
Julia in a Nutshell
h2
Ecosystem
h2
JuliaCon 2022
h2
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h2
Recent Blog Posts
h2
Talk to us
h2
Editors and IDEs
h2
Essential Tools
h2
Stay up to date on all things Julia!
h3
Revise
h3
GPUs
h3
Debugger
h3
Profiler
h3
Emacs
h3
NotePad++
h3
VS Code
h3
Jupyter
h3
Pluto.jl
h3
Vim
h3
Twitter
h3
Videos
h3
LinkedIn
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Discourse
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GitHub
h3
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h3
Zulip
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h3
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h3
JuliaCon 2022 Highlights
h3
Data Science
h3
Visualization
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General Computing
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Parallel Computing
h3
Machine Learning
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Scientific Computing
h3
Fast
h3
Dynamic
h3
Reproducible
h3
Composable
h3
General
h3
Open source
h4
Rich Ecosystem for Scientific Computing
h4
Scalable Machine Learning
h4
Parallel and Heterogeneous Computing
h4
Build, Deploy or Embed Your Code
h4
Data Visualization and Plotting
h4
Interact with your Data
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Zulip
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Slack
h4
Source code
h4
Discourse
h4
Twitch
h4
LinkedIn
h4
YouTube
h4
#JuliaLang
h4
Vim plugin
h4
Simple reactive notebooks
h4
Jupyter kernel
h4
VS Code Extension
h4
Notepad++
h4
Emacs plugin
h4
Profile (Stdlib)
h4
Debugger.jl
h4
JuliaGPU
h4
Revise.jl
h5
Lorenz Attractor in Julia

julialang.org Sites with Same Names

Website
Title
Rank
Julia ? - Julia Language
33,214,370
Julia Language Official Documentation and Resources
2,593,192

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