Descargar sitios web que utilizan Timeplot
2 sitios activos que usan Timeplot ahora mismo
JavaScript graphics · de MIT SIMILE Project · desde 2006 · open source
Vista previa de los datasets de sitios Timeplot
La detección de Timeplot es un valor de la columna Technologies . Dos datasets la incluyen, cambie entre ambos para comparar qué incluye cada uno.
| Domain | TLD suffix | TLD | Domain type | HTTP status | IP address | Country by IP | Social networks | Technologies last data checked | Technologies | PR value | Harmonic value | Domain creation date | Domain expiration date |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| timeplot.app | app | app | ICANN | HTTP 200 | 216.150.1.1 | US | — | 2026-09-21 | HSTS, HTTP/2, Vercel, Favicon, Timeplot, Cloudflare, Open Graph, Priority Hints, Google Site Verification | 0.00000000440101 | 10,249,518 | 2022-05-07 | 2027-05-07 |
| cashcrop.de | de | de | ICANN | HTTP 200 | 185.26.156.65 | DE | — | 2026-09-30 | HSTS, Nginx, HTTP/2, Timeplot | 0.00000000361487 | 14,475,231 | — | — |
| … | … | … | … | … | … | … | … | … | … | … | … | … | … |
| Domain | TLD suffix | TLD | Domain type | HTTP status | IP address | Country by IP | Social networks | Technologies last data checked | Technologies | DNS last data checked | DNS Status | DNS records | PR value | Harmonic value | RDAP/WHOIS last data checked | RDAP/WHOIS method | Domain creation date | Domain expiration date | Domain last changed | Registrar | RDAP/WHOIS Record | Response Status RDAP/WHOIS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| timeplot.app | app | app | ICANN | HTTP 200 | 216.150.1.1 | US | — | 2026-09-21 | HSTS, HTTP/2, Vercel, Favicon, Timeplot, Cloudflare, Open Graph, Priority Hints, Google Site Verification | 2026-10-02 | TRUE | {"A":["216.150.1.1"],"MX":[{"host":"smtp.google.com","priority":1}],"NS":["etta.ns.cloudflare.com","glen.ns.cloudflare.com"],"SOA":{"mname":"etta.ns.cloudflare.com","retry":2400,"rname":"dns.cloudflare.com","expire":604800,"serial":2416296716,"minimum":1800,"refresh":10000},"TXT":["google-site-verification=F5_kte_0kGjUwzS9sxfZMO8nUH3wbZQ3ICquKXTE__Q","google-site-verification=ZxGsBGq8APwTxC7gzLTHrysyGta73DC22jQg5vfo4Ug"]} | 0.00000000440101 | 10,249,518 | 2026-02-14 | RDAP | 2022-05-07 | 2027-05-07 | 2026-01-01 | Namecheap Inc. | {"raw_response":{"links":[{"rel":"self","href":"https://pubapi.registry.google/rdap/domain/timeplot.app","type":"application/rdap+json","value":"https://pubapi.registry.google/rdap/domain/timeplot.app"},{"rel":"related","href":"https://rdap.namecheap.com/domain/timeplot.app","type":"application/rdap+json","value":"https://pubapi.registry.google/rdap/domain/timeplot.app"}],"events":[{"eventDate":"2022-05-07T18:17:35.778Z","eventActor":"googledomains","eventAction":"registration"},{"eventDate":"2027-05-07T18:17:35.778Z","eventAction":"expiration"},{"eventDate":"2026-02-14T11:53:22.167Z","eventAction":"last update of RDAP database"},{"eventDate":"2023-05-08T03:08:17.364Z","eventActor":"googledomains","eventAction":"reregistration"},{"eventDate":"2025-12-27T09:04:29.765Z","eventActor":"cloudflare","eventAction":"transfer"},{"eventDate":"2026-01-01T09:04:29.765Z","eventAction":"last changed"}],"handle":"48DAFA6E2-APP","status":["client transfer prohibited"],"ldhName":"timeplot.app","notices":[{"links":[{"rel":"self","href":"https://pubapi.registry.google/rdap/help/tos","type":"application/rdap+json","value":"https://pubapi.registry.google/rdap/domain/timeplot.app"},{"rel":"terms-of-service","href":"https://www.registry.google/policies/rdap-terms/","type":"text/html","value":"https://pubapi.registry.google/rdap/domain/timeplot.app"}],"title":"RDAP Terms of Service","description":["By querying our Domain Database as part of the RDAP pilot program (RDAP Domain Database), you are agreeing to comply with these terms and acknowledging that your information will be used in accordance with Charleston Road Registry's Privacy Policy (https://www.registry.google/about/privacy.html), so please read the terms and Privacy Policy carefully.","Any information provided is 'as is' without any guarantee of accuracy.","Please do not misuse the RDAP Domain Database. 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If you do not agree to any of these terms, do not access or use ,the RDAP Domain Database.","Although Namecheap believes the data to be reliable, you agree and acknowledge that any information provided is 'as is' without any guarantee of accuracy.","You further agree that you will:","1) Not misuse the RDAP Domain Database. 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| cashcrop.de | de | de | ICANN | HTTP 200 | 185.26.156.65 | DE | — | 2026-09-30 | HSTS, Nginx, HTTP/2, Timeplot | 2026-09-20 | TRUE | {"A":["185.26.156.65"],"MX":[{"host":"wolf.uberspace.de","priority":0}],"NS":["ns.inwx.de","ns2.inwx.de","ns3.inwx.eu"],"SOA":{"mname":"ns.inwx.de","retry":3600,"rname":"hostmaster.inwx.de","expire":604800,"serial":2025071800,"minimum":3600,"refresh":10800},"TXT":["v=spf1 mx ~all"],"AAAA":["2a00:d0c0:200:0:b9:1a:9c:40"]} | 0.00000000361487 | 14,475,231 | 2026-07-23 | WHOIS | — | — | — | — | {"raw_response":"Domain: cashcrop.de\nStatus: connect"} | Domain is active |
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El dataset Timeplot
Todos los sitios que hemos detectado utilizando Timeplot, con versión, hosting, país, TLD y ranking de tráfico.
Timeplot está presente en 2 datasets
La detección de Timeplot forma parte de Technologies (€159/mes) y All data (€599/mes). Compre cualquiera de los dos para filtrar la lista completa de 2 sitios, o consiga antes una vista previa gratuita.
Acerca de Timeplot
El código escrito para un proyecto de investigación universitario casi nunca recibe un fin de vida formal. La financiación se traslada, los estudiantes se gradúan, la página del proyecto deja de actualizarse y la biblioteca sigue funcionando dentro de las páginas que ya la habían incrustado. Timeplot es una de esas supervivencias.
Timeplot salió de MIT SIMILE Project en 2006, un widget en JavaScript publicado con licencia BSD para representar series temporales con marcadores de eventos superpuestos, de manera que un lector pudiera ver cómo cambia una magnitud y los sucesos que la rodean en una sola vista. El público previsto era académico, periodístico y de archivo: gente con una serie fechada y una historia que asociarle. Los widgets hermanos del mismo laboratorio se ocupaban de cronologías y de navegación por datos estructurados, y las piezas solían desplegarse juntas, por lo que encontrar una de ellas en una página a menudo implica las demás.
Detectar una biblioteca de este tipo resulta especialmente incómodo. El proyecto sí publica una copia alojada del script, pero la licencia BSD también invitaba a copiar los archivos directamente en la raíz del propio servidor, así que muchas instancias residen en la ruta que un autor eligió hace años. Un widget incrustado hace tanto tiempo suele además estar en páginas que se siguen sirviendo pero que ya no reciben enlaces desde ningún lugar al que un rastreador llegue con facilidad. En octubre de 2026 detectamos el widget en 2 sitios, y la cifra debe leerse como las páginas que hemos conseguido encontrar y no como las páginas que existen.
El uso interesante de una lista así es arqueológico. Una página que todavía usa un widget en JavaScript sin mantenimiento es una página que nadie ha tocado en mucho tiempo, lo que convierte la tecnología en un indicio de abandono institucional: sitios de departamentos, viejos proyectos de periodismo de datos, exposiciones digitales que quedaron en pie después de que terminara la subvención. Un investigador de seguridad que lea la misma señal ve una dependencia de front-end sin parchear cargada desde una copia local obsoleta.
Para ese tipo de pregunta, una lista descargable es el instrumento práctico. Preguntar por un dominio concreto a un servicio de consulta da por supuesto que ya ha acertado con el dominio, y la gracia de estudiar código de front-end abandonado es que las páginas son justo las que nadie recuerda. La lista completa, con la dirección, el país y el dominio de primer nivel de cada coincidencia, permite a un investigador encontrarlas sin adivinar antes.
Preguntas frecuentes
¿Cuántos sitios web usan Timeplot?
webatla detecta Timeplot en 2 sitios web, actualizados a diario, cada uno con su dominio, DNS, WHOIS, IP, país y clasificación.
¿Puedo descargar la lista de sitios web que usan Timeplot?
Sí, en formato JSONL estructurado. Consiga antes una muestra gratuita.
¿Qué incluye cada sitio, y con qué frecuencia se actualiza?
Dominio, DNS, RDAP/WHOIS, la stack tecnológica completa, IP & país, PageRank y Harmonic, redetectados y reexportados a diario.
¿Cómo encuentro los sitios web que utilizan Timeplot?
Compre el dataset Technologies y descargue la lista completa de dominios en los que detectamos Timeplot, reexportada cada día.
¿Qué más incluyen los datos de tecnología de Timeplot?
Cada fila coloca Timeplot junto a las demás tecnologías del mismo sitio, además de DNS, WHOIS, IP, país y clasificación.
¿Puedo descargar solo los sitios que utilizan Timeplot, o la base de datos completa?
Ambos. Cada sitio que usa Timeplot figura en el dataset Technologies, un archivo descargable. O compre All data para toda la base de datos: tecnologías, más identidad, ranking, DNS y RDAP/WHOIS para cada dominio, reunidos en un solo archivo. Exportación actualizada a diario.
¿Cómo descargo la lista de sitios web que utilizan Timeplot?
Tres pasos: (1) consiga la muestra gratuita de 10.000 filas para examinar el esquema, (2) compre el dataset Technologies, (3) descargue la lista completa de todos los dominios en los que detectamos Timeplot, en forma de archivo JSON Lines. Se reexporta a diario, así que puede volver a descargar la lista más reciente en cualquier momento dentro de su periodo de acceso. Cada fila contiene el dominio junto con el DNS, el WHOIS, la IP, el país de alojamiento y la clasificación.
Consiga la lista completa de sitios web que usan Timeplot
Elija el dataset que cubra lo que necesita. Cada uno incluye Timeplot y se descarga en JSONL, reconstruido a diario.
El stack tecnológico completo de cada sitio: CMS, pagos, analítica, frameworks.
Todo lo que tenemos, en un solo paquete. El universo webatla completo.
¿Quiere comparar todos los datasets uno junto al otro? Ver la página de precios
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