Search Results for "ui framework"
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Showing 12 open source projects for "ui framework"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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1
The Lura Project framework
Ultra performant API Gateway with middlewares
An extendable, simple and stateless high-performance API Gateway framework designed for both cloud-native and on-prem setups. Consumers of REST API content (specially in microservices) often query backend services that weren’t coded for the UI implementation. This is of course a good practice, but the UI consumers need to do implementations that suffer a lot of complexity and burden with the sizes of their microservices responses. -
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Bubble Tea
A powerful little TUI framework
...Be sure to check out Bubbles, a library of common UI components for Bubble Tea. Bubble Tea is based on the functional design paradigms of The Elm Architecture, which happen to work nicely with Go. It's a delightful way to build applications. By the way, the non-annotated source code for this program is available on GitHub. The tutorial assumes you have a working knowledge of Go. -
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Artalk
Your Self-hosted Comment System
Artalk is a modern, self-hosted comment system designed to provide a fast, privacy-focused alternative to third-party commenting platforms for blogs, websites, and web applications. It combines a lightweight frontend written in vanilla JavaScript with a high-performance backend powered by Go, enabling efficient cross-platform deployment and low resource usage. The system is framework-agnostic, allowing it to be integrated into virtually any frontend stack without dependency conflicts or... -
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moq
Interface mocking tool for go generate
Moq is a Go interface mocking tool designed to generate test-friendly mock structs from existing interfaces. It is commonly used with go generate so teams can keep mock implementations synchronized with their source interfaces. Instead of relying on a large mocking framework, Moq creates straightforward Go code that can be inspected, edited, and used directly in tests. The generated structs allow developers to define function behavior for each mocked method. This makes it easier to test code... -
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5
Ory Kratos
Next-gen identity server with Ory-hardened authentication
...Ory Kratos is a fully featured user management system built for the cloud. Control every aspect with a headless API. Ory Kratos comes with support for a wide range of 2FA protocols such as TOTP, FIDO2 & WebAuthn, works with any UI framework, and only a few lines of code are required to get it up and running. Configurable login and registration flows, multi-factor authentication, custom identity models, and bring your own UI. Ory Kratos is open-source and grows more powerful with every pull-request. Ory Kratos is written in Go and we provide SDKs for every language. ... -
6
testkube
Kubernetes-native testing framework for test execution
...Testkube uses Kubernetes-native constructs to store and run your test definitions ensuring compatibility, security, and scalability for all your testing needs. Advanced test orchestration functionality enables you to parameterize and parallelize your load, API, and UI tests to simulate real-life usage scenarios. -
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Operator Lifecycle Manager
A management framework for extending Kubernetes with Operators
This project is a component of the Operator Framework, an open source toolkit to manage Kubernetes native applications, called Operators, in an effective, automated, and scalable way. Read more in the introduction blog post and learn about practical use cases at the OLM website. OLM extends Kubernetes to provide a declarative way to install, manage, and upgrade Operators and their dependencies in a cluster. Kubernetes clusters are being kept up to date using elaborate update mechanisms... -
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faas-netes
Serverless Functions For Kubernetes
...OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker and Kubernetes which has first-class support for metrics. Any process can be packaged as a function enabling you to consume a range of web events without repetitive boilerplate coding. -
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Kratos
Your ultimate Go microservices framework for the cloud-native era
Kratos is a microservice-oriented governance framework implemented by golang, which offers convenient capabilities to help you quickly build a bulletproof application from scratch. The communication protocol is based on the HTTP/gRPC through the definition of Protobuf. Abstract transport layer support: HTTP / gRPC. Powerful middleware design, support: Tracing (OpenTelemetry), Metrics (Prometheus is default), Recovery and more. Registry interface able to be connected with various other... -
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10
PC-Gui
Lightweight PC-Gui framework for AI, typewriter stream Gemini-like
PC-GUI: A lightweight desktop GUI framework for AI, natively supporting live typewriter-style streaming output like Gemini! 🎉 💡 Core philosophy: Rapid development · Minimal footprint · Native performance. We empower you to build premium desktop tools that users are willing to pay for. PC-GUI helps you meet strong market demands by building compact, powerful, commercial-grade applications with a simple and stable tech stack. -
11
Acorn
A simple application deployment framework built on Kubernetes
Acorn is an app platform that makes it easy to build, share, and run containerized applications. Acorn provides a comprehensive way to describe your application and dependencies in a single file called an Acornfile. The Acornfile is built and packaged up into a single artifact that contains everything needed to deploy your application and can be shared with a link that will allow it's recipients to have a one-click deployment into a sandbox environment. Acorn Sandboxes are free compute... -
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Kubeless
Kubernetes Native Serverless Framework
kubeless is a Kubernetes-native serverless framework that lets you deploy small bits of code without having to worry about the underlying infrastructure plumbing. It leverages Kubernetes resources to provide auto-scaling, API routing, monitoring, troubleshooting, and more. Kubeless stands out as we use a Custom Resource Definition to be able to create functions as custom Kubernetes resources. We then run an in-cluster controller that watches these custom resources and launches runtimes...
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