Here is an overview of what we consider to be the key website statistics and information:
Parameter name | Status | Comment |
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Website meta title | scikit-learn: machine learning in Python — scikit-learn 0.16.1 do***entation | Search engines recommend title length of around 50-60 characters. The length of this title is 82. |
Meta description | An open source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms using a unified interface. Provides documentation and source code. | To make sure all the meta description is visible in search results page, Google recommends length of up to 320 characters at the most. This description has exactly 202 characters. |
Load time | 0.3135 seconds on average | Website load speed is pretty fast. |
Alexa global | 7 539, as last updated | According to Alexa, the website is frequently visited and is very popular. |
Number of backlinks | Around 3 087 | If even half of these are high quality, it speaks volumes of the website's worth. |
Page HTML size | 2KB | Load speed (and overall responsiveness) is such an important factor for both search engines and user experience, would you not agree? With that in mind, this is a very good result. |
Website server | Server appears to be online. The IP address for the server is 192.30.252.154. | It's unfortunate, but despite our best attempts, we failed to gather enough data to provide a meaningful insight at this time. |
Domain overview | Registered on 2011-10-19 01:50:06 | It's unfortunate, but despite our best attempts, we failed to gather enough data to provide a meaningful insight at this time. At this time, domain scikit-learn.org is registered at Gandi SAS |
What, all that information was not enough? You want... more? Right, then. You asked for it.
As we've mentioned before, traffic is not a key metric. However, the target audience does say a lot about what's been done to optimize the website, as well as what should be done going forwards. Let's see if we have any useful information here.
Parameter name | Status | Comment |
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Relevant categories | Computers Artificial Intelligence Machine Learning Software |
The most obvious area of interest for the target audience are these categories. Most, if not all of them can be attributed to the website in question. |
Related websites | machinelearningmastery.com scipy.org pydata.org kaggle.com analyticsvidhya.com |
These are the websites that fall into the same category as scikit-learn.org, and so target the same audience and, likely, keywords. To a larger or smaller extent, all of them are competitors. |
Absolute accuracy is accessible only by the webmasters. If you keep that in mind, perhaps you will find out approximate numbers of some use.
Where appropriate, we'll add an insight, but the numbers themselves speak clearly enough, eh?
Parameter name | Status | Comment |
---|---|---|
Time spent on site | 4:42 | People are in no hurry to leave the website, great! |
With over 4 million websites indexed (which can seem as a lot, or very little, depending on your point of view), Alexa is perhaps the oldest and certainly the best known ranking system, deservedly or not. The Alexa Global and Local ranks of a website are based on an approximate amount of visitors a given website receives. The more visitors, the higher the rank. The Alexa rank, be it Local or Global, should be taken with a pinch of salt. After all, visitor count is by far not the simple measure of a website's success it's made out to be. For example, a gardening website is never going to be as popular as a movie review website. It does not mean it's not popular within it's niche.
Similarly to how a hard drive or a modern SSD device holds your files, a server holds all the files the website needs to operate. To load a webpage, your browser needs to contact the said server and request files - strings of code that make up the website into what it is, including images, text and database entries. Each physical server has a unique IP address that is used by the browser to contact it.
Let's see what technical information we've managed to gather:
Header in detail |
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HTTP/1.1 200 OK Server: GitHub.com Date: Mon, 11 Jul 2016 13:53:50 GMT Content-Type: text/html; charset=utf-8 Content-Length: 2057 Last-Modified: Mon, 11 Jul 2016 12:47:17 GMT Access-Control-Allow-Origin: * Expires: Mon, 11 Jul 2016 14:03:50 GMT Cache-Control: max-age=600 Accept-Ranges: bytes X-GitHub-Request-Id: C6BB1F02:6485:4E95380:5783A4EE |
WHOIS information |
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Domain Name: SCIKIT-LEARN.ORG Domain ID: D163636794-LROR WHOIS Server: Referral URL: http://www.gandi.net Updated Date: 2015-08-26T18:21:23Z Creation Date: 2011-10-19T01:50:06Z Registry Expiry Date: 2020-10-19T01:50:06Z Sponsoring Registrar: Gandi SAS Sponsoring Registrar IANA ID: 81 Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited Registrant ID: OG222-GANDI Registrant Name: Olivier Grisel Registrant Organization: Registrant Street: 24 rue de la Py Registrant City: Paris Registrant State/Province: Registrant Postal Code: 75020 Registrant Country: FR Registrant Phone: +33.688597891 Registrant Phone Ext: Registrant Fax: Registrant Fax Ext: Registrant Email: [email protected] Admin ID: OG222-GANDI Admin Name: Olivier Grisel Admin Organization: Admin Street: 24 rue de la Py Admin City: Paris Admin State/Province: Admin Postal Code: 75020 Admin Country: FR Admin Phone: +33.688597891 Admin Phone Ext: Admin Fax: Admin Fax Ext: Admin Email: [email protected] Tech ID: OG222-GANDI Tech Name: Olivier Grisel Tech Organization: Tech Street: 24 rue de la Py Tech City: Paris Tech State/Province: Tech Postal Code: 75020 Tech Country: FR Tech Phone: +33.688597891 Tech Phone Ext: Tech Fax: Tech Fax Ext: Tech Email: [email protected] Name Server: DNS2.STABLETRANSIT.COM Name Server: DNS1.STABLETRANSIT.COM DNSSEC: unsigned >>> Last update of WHOIS database: 2016-07-09T07:39:33Z <<< For more information on Whois status codes, please visit https://icann.org/epp Access to Public Interest Registry WHOIS information is provided to assist persons in determining the contents of a domain name registration record in the Public Interest Registry registry database. The data in this record is provided by Public Interest Registry for informational purposes only, and Public Interest Registry does not guarantee its accuracy. This service is intended only for query-based access. You agree that you will use this data only for lawful purposes and that, under no circumstances will you use this data to(a) allow, enable, or otherwise support the transmission by e-mail, telephone, or facsimile of mass unsolicited, commercial advertising or solicitations to entities other than the data recipient's own existing customers; or (b) enable high volume, automated, electronic processes that send queries or data to the systems of Registry Operator, a Registrar, or Afilias except as reasonably necessary to register domain names or modify existing registrations. All rights reserved. Public Interest Registry reserves the right to modify these terms at any time. By submitting this query, you agree to abide by this policy. |
A good domain address is usually one that is easy to spell, resulting in the smallest amount of mistypes possible. Still, such a thing inevitably happens. Here is a list with the most frequent 1736 mistypes, associated with scikit-learn.org:
If you are curious about what TLD extensions could also match the domain name of scikit-learn.org well, we have prepared an extensive list for you to look through:
We are glad you have finished this report. Hopefully, you found what you were looking for. In case you need more information to compare, here is a list of some other detailed overviews we have prepared: