Results 101 to 110 of about 1,220 (204)
otargen: GraphQL-based R package for tidy data accessing and processing from Open Targets Genetics. [PDF]
Bioinformatics, 2023 Feizi A, Ray K.
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, 2020 Master thesis work is specializing on problematics of implementation of GraphQL Application Programming Interface (API) test automation. The main goal is to compare existing GraphQL API test automation solutions to recommend one that can be used in a ...
Kolpakova, Alexandra
core
GraphQL-based Datalake:Capabilities of GraphQL as API of a Datalake-Application
, 2022 In dieser Arbeit werden die Vor- und Nachteile von GraphQL als API einer Datalake-Applikation im Zuge einer Literaturrecherche analysiert. Zusätzlich wird die Performance von GraphQL-Queries zweier unterschiedlicher Microservices miteinander verglichen ...
Prand-Stritzko, Markus
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Foundations, Community, and Curated CollectionsThis curated resource sheet provides a structured overview of foundational GraphQL governance links, community-curated Awesome repositories, and key social media channels. It serves as a comprehensive reference point for developers, educators, and researchers exploring the GraphQL ecosystem.
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2024 MCBK North American chapter meeting—Lightning talk and demonstration abstracts
Learning Health Systems, Volume 9, Issue 1, January 2025.
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Liikudes Apache Kafka GraphQL Proxy poole [PDF]
, 2020 Apache Kafka is a open-source stream-processing framework which is quickly becoming an industry standard for event-driven applications. Kafka is written in Scala and, thus, general purpose JVM (java virtual machine) programming languages can be used to
Karu, Jonathan
core
GraphQL for WikiData (WikiCite)
, 2021 I've released a very crude GraphQL endpoint for WikiData. More precisely, the endpoint is for a subset of the entities that are of interest to WikiCite, such as scholarly articles, people, and journals. There is a crude demo at https://wikicite-graphql.herokuapp.com. The endpoint itself is at https://wikicite-graphql.herokuapp.com/gql.php.
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Система аналізу запитів GraphQL
, 2019 Робота складається із вступу та чотирьох розділів. Загальний обсяг роботи: 84 аркуші основного тексту, 21 ілюстрації, 24 таблиці, 1 додаток. При підготовці використовувалася література з 42 різних джерел. Актуальність.
Коваленко, В’ячеслав Сергійович
core
Knowledge Graph and Deep Learning-based Text-to-GQL Model for Intelligent Medical Consultation Chatbot. [PDF]
Inf Syst Front, 2022 Ni P, Okhrati R, Guan S, Chang V.
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Performance comparison : Between GraphQL, REST & SOAP
, 2020 Modern applications commonly make use of several subsystems, usually a frontend and a backend. The communication link between these subsystems is commonly an API.
Erlandsson, Pontus, Remes, Joakim
core