Search Results for "java rest client"
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Showing 6 open source projects for "java rest client"
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Deploy Apps in Seconds with Cloud RunCloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
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99.99% Uptime for MySQL and PostgreSQL on Google CloudCloud SQL Enterprise Plus gives you a 99.99% availability SLA with near-zero downtime maintenance—typically under 10 seconds. Get 2x better read/write performance, intelligent data caching, and 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server with built-in vector search for gen AI apps. New customers get $300 in free credit.
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GraphQL Java Tools
A schema-first tool for graphql-java inspired by graphql-tools for JS
This library allows you to use the GraphQL schema language to build your graphql-java schema. Inspired by graphql-tools, it parses the given GraphQL schema and allows you to BYOO (bring your own object) to fill in the implementations. GraphQL Java Tools works extremely well if you already have domain POJOs that hold your data (e.g. for RPC, ORM, REST, etc) by allowing you to map these magically to GraphQL objects. -
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Slack SDK for Java
Slack Developer Kit (including Bolt for Java) for any JVM languages
Slack SDK for Java supports the Slack platform in a Java idiomatic way. The SDK written in Java so developers can use it in any JVM language including Kotlin, Groovy, and Scala. If what you want to do is call Slack APIs in your existing services, we recommend using only the Slack API Client. If instead, you’re developing a new modern and interactive Slack app, we recommend Bolt for it. -
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Apollo Kotlin
A strongly-typed, caching GraphQL client for the JVM, Android, etc.
A strongly-typed, caching GraphQL client for Java and Kotlin multiplatform. Apollo Kotlin (formerly Apollo Android) is a GraphQL client that generates Kotlin and Java models from GraphQL queries. Apollo Kotlin executes queries and mutations against a GraphQL server and returns results as query-specific Kotlin types. This means you don't have to deal with parsing JSON, or passing around Maps and making clients cast values to the right type manually. -
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Fast Binary Encoding (FBE)
Fast Binary Encoding is fast and universal serialization solution
Fast Binary Encoding is ultra fast and universal serialization solution for C++, C#, Go, Java, JavaScript, Kotlin, Python, Ruby, and Swift. Fast Binary Encoding allows to description of any domain models, business objects, complex data structures, client/server requests & responses and generate native code for different programming languages and platforms. -
Run Any Workload on Compute Engine VMsCompute Engine delivers high-performance virtual machines for web apps, databases, containers, and AI workloads. Choose from general-purpose, compute-optimized, or GPU/TPU-accelerated machine types—or build custom VMs to match your exact specs. With live migration and automatic failover, your workloads stay online. New customers get $300 in free credits.
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LTEX LS
LTeX Language Server: LSP language server for LanguageTool
LTEX LS (LTEX Language Server) implements a language server according to the Language Server Protocol (LSP) and provides grammar and spelling errors in markup documents (LATEX, Markdown, etc.). The documents are checked with LanguageTool. Typically, you start the language server (either locally or remotely), you send the language server your LATEX or Markdown document, and it will respond with a list of the grammar and spelling errors in it. To use LTEX LS in this way, you have to use a... -
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TornadoFX
Lightweight JavaFX Framework for Kotlin
Oracle is intending to decouple JavaFX from the JDK. We will wait until the decoupled JavaFX is available and stable before upgrading TornadoFX to support it. As of now there is little value and significant effort involved in updating to JDK 9/10, while there will be an enormous value in updating to the decoupled version.
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