scipy.org - Secure (SSL)

Résultats de la vérification pour : scipy.org

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Info supplémentaires pour https://scipy.org

Informations Techniques

Code de Statut HTTP	200
Version HTTP	HTTP/1.1
HTTPS	✔ Disponible
Adresse IP	75.2.60.5
Logiciel Serveur	Netlify
Compression	gzip
ℹ 🔵 Content Security Policy Manquante	CSP n'est pas configuré. Cela aide à prévenir les attaques XSS et l'injection de contenu.
ℹ 🔵 X-Frame-Options Manquant	Le site peut être intégré dans des iframes par des tiers (risque de clickjacking).

Code de Statut HTTP 200
Version HTTP HTTP/1.1
HTTPS ✔ Disponible
Adresse IP 75.2.60.5
Logiciel Serveur Netlify
Compression gzip
ℹ 🔵 Content Security Policy Manquante CSP n'est pas configuré. Cela aide à prévenir les attaques XSS et l'injection de contenu.
ℹ 🔵 X-Frame-Options Manquant Le site peut être intégré dans des iframes par des tiers (risque de clickjacking).

Performance

Résolution DNS	10.9 ms
Connexion TCP	15.5 ms
Négociation TLS	142.7 ms
Temps Jusqu'au Premier Octet (TTFB)	169.7 ms
Téléchargement du Contenu	6.1 ms
Temps de Réponse Total	175.8 ms

Résolution DNS 10.9 ms
Connexion TCP 15.5 ms
Négociation TLS 142.7 ms
Temps Jusqu'au Premier Octet (TTFB) 169.7 ms
Téléchargement du Contenu 6.1 ms
Temps de Réponse Total 175.8 ms

Sécurité

HTTPS	✔ Activé
HSTS	✔ max-age=31536000
CSP	⚠ Non configuré
X-Frame-Options	⚠ Non configuré
X-Content-Type-Options	⚠ Non configuré
HTTP/2	⚠ HTTP/1.1

HTTPS ✔ Activé
HSTS ✔ max-age=31536000
CSP ⚠ Non configuré
X-Frame-Options ⚠ Non configuré
X-Content-Type-Options ⚠ Non configuré
HTTP/2 ⚠ HTTP/1.1

Vérification SEO Rapide

Titre	SciPy
Meta Description	Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Twitter Card	summary_large_image
Titre Twitter	SciPy
Description Twitter	Fundamental algorithms SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Broadly applicable The algorithms and data structures provided by SciPy are broadly applicable across domains. Foundational Extends NumPy providing additional tools for array computing and provides specialized data structures, such as sparse matrices and k-dimensional trees. Performant SciPy wraps highly-optimized implementations written in low-level languages like Fortran, C, and C++. Enjoy the flexibility of Python with the speed of compiled code. Easy to use SciPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Open source Distributed under a liberal BSD license, SciPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community.
Image Twitter	https://scipy.org/images/logo.svg

Titre SciPy
Meta Description Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Twitter Card summary_large_image
Titre Twitter SciPy
Description Twitter Fundamental algorithms SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Broadly applicable The algorithms and data structures provided by SciPy are broadly applicable across domains. Foundational Extends NumPy providing additional tools for array computing and provides specialized data structures, such as sparse matrices and k-dimensional trees. Performant SciPy wraps highly-optimized implementations written in low-level languages like Fortran, C, and C++. Enjoy the flexibility of Python with the speed of compiled code. Easy to use SciPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Open source Distributed under a liberal BSD license, SciPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community.
Image Twitter https://scipy.org/images/logo.svg

Technologies Détectées

Technologie	Bootstrap Google Analytics Cloudflare

Technologie Bootstrap Google Analytics Cloudflare

En-têtes HTTP

Accept-ranges	bytes
Age	23435
Cache-control	public,max-age=0,must-revalidate
Cache-status	"Netlify Edge"; hit
Content-encoding	gzip
Content-type	text/html; charset=UTF-8
Date	Sat, 25 Jul 2026 00:07:00 GMT
Etag	"4d52b910fc19738a851b1cf53e87bc58-ssl-df"
Server	Netlify
Strict-transport-security	max-age=31536000
Vary	Accept-Encoding
X-nf-request-id	01KYB9HFD42P2DRQPM34AHNHPH
Content-length	6614

Balises Meta

Generator	Hugo 0.152.2
Description	Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Viewport	width=device-width, initial-scale=1, shrink-to-fit=no
X-ua-compatible	ie=edge

Accept-ranges bytes
Age 23435
Cache-control public,max-age=0,must-revalidate
Cache-status "Netlify Edge"; hit
Content-encoding gzip
Content-type text/html; charset=UTF-8
Date Sat, 25 Jul 2026 00:07:00 GMT
Etag "4d52b910fc19738a851b1cf53e87bc58-ssl-df"
Server Netlify
Strict-transport-security max-age=31536000
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X-nf-request-id 01KYB9HFD42P2DRQPM34AHNHPH
Content-length 6614

Generator Hugo 0.152.2
Description Why SciPy? Fundamental algorithms. Broadly applicable. Foundational. Interoperable. Performant. Open source.
Viewport width=device-width, initial-scale=1, shrink-to-fit=no
X-ua-compatible ie=edge
Twitter:card summary_large_image
Twitter:image

Twitter:title SciPy
Twitter:description Fundamental algorithms SciPy provides algorithms for optimization, integration, interpolation, eigenvalue problems, algebraic equations, differential equations, statistics and many other classes of problems. Broadly applicable The algorithms and data structures provided by SciPy are broadly applicable across domains. Foundational Extends NumPy providing additional tools for array computing and provides specialized data structures, such as sparse matrices and k-dimensional trees. Performant SciPy wraps highly-optimized implementations written in low-level languages like Fortran, C, and C++. Enjoy the flexibility of Python with the speed of compiled code. Easy to use SciPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. Open source Distributed under a liberal BSD license, SciPy is developed and maintained publicly on GitHub by a vibrant, responsive, and diverse community.

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