Search Results for "cube 2 engine"
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Showing 8 open source projects for "cube 2 engine"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Gemini 3 and 200+ AI Models on One PlatformBuild generative AI apps with Vertex AI. Switch between models without switching platforms.
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1
Echo
High performance, minimalist Go web framework
...Template rendering using any template engine. Customized central HTTP error handling. Easily extendable API. -
2
jwt-go
Go of JSON Web Tokens
A go (or 'golang' for search engine friendliness) implementation of JSON Web Tokens. Our support of Go versions is aligned with Go's version release policy. So we will support a major version of Go until there are two newer major releases. We no longer support building jwt-go with unsupported Go versions, as these contain security vulnerabilities that will not be fixed. -
3
gorush
A push notification server written in Go (Golang)
A push notification micro server using Gin framework written in Go (Golang) and see the demo app. Support graceful shutdown that workers and queue have been sent to APNs/FCM before shutdown service. Support different Queue as backend like NSQ or NATS, defaut engine is local Channel. You can deploy gorush to alternative solution like netlify functions. Netlify lets you deploy serverless Lambda functions without an AWS account, and with function management handled directly within Netlify.... -
4
Zinc Search Engine
ZincSearch. A lightweight alternative to elasticsearch
Zinc is a search engine that does full text indexing. It is a lightweight alternative to Elasticsearch and runs using a fraction of the resources. It uses bluge as the underlying indexing library. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple dozen knobs to understand and tune which you can get up and running in 2 minutes. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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5
M3
Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar
M3 is a Prometheus-compatible, easy-to-adopt metrics engine that provides visibility for some of the world’s largest brands. M3 is the obvious choice for Cloud Native companies looking to scale up their Prometheus-based monitoring systems. M3 can be used as Prometheus Remote Storage and has 100% PromQL compatibility. M3 was originally developed at Uber in order to provide visibility into Uber’s business operations, microservices, and infrastructure. With its ability to horizontally scale... -
6
Cyclone
Powerful workflow engine and end-to-end pipeline solutions
Cyclone is a powerful workflow engine and end-to-end pipeline solution implemented with native Kubernetes resources, with no extra dependencies. It can run anywhere Kubernetes is deployed: public cloud, on-prem or hybrid cloud. Cyclone is architectured with a low-level workflow engine that is application agnostic, offering capabilities like workflow DAG scheduling, resource lifecycle management and most importantly, a pluggable and extensible framework for extending the core APIs. ... -
7
Hercules
Gaining advanced insights from Git repository history
Fast, insightful and highly customizable Git history analysis. Hercules is an amazingly fast and highly customizable Git repository analysis engine written in Go. Batteries are included. Powered by go-git. There are two command-line tools: hercules and labours. The first is a program written in Go that takes a Git repository and executes a Directed Acyclic Graph (DAG) of analysis tasks over the full commit history. The second is a Python script that shows some predefined plots over the collected data. ... -
8
DHT
BitTorrent DHT Protocol && DHT Spider.
DHT implements the bittorrent DHT protocol in Go. It contains two modes, the standard mode, and the crawling mode. The standard mode follows the BEPs, and you can use it as a standard dht server. The crawling mode aims to crawl as much metadata info as possible. It doesn't follow the standard BEPs protocol. With the crawling mode, you can build another BTDigg. The default crawl mode configuration costs about 300M RAM. Set MaxNodes and BlackListMaxSize to fit yourself. DHT aims to implement...
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