Search Results for "linux deploy" - Page 13
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Showing 457 open source projects for "linux deploy"
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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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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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Dapp tools by DappHub
Dapp, Seth, Hevm, and more
Command line tools and smart contract libraries for Ethereum smart contract development. All you need Ethereum development tool. Build, test, fuzz, formally verify, debug & deploy solidity contracts. Ethereum CLI. Query contracts, send transactions, follow logs, slice & dice data. Testing-oriented EVM implementation. Debug, fuzz, or symbolically execute code against local or mainnet state. Sign Ethereum transactions from a local keystore or hardware wallet. dapptools is currently in a stage... -
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Kotless
Kotlin Serverless Framework
Kotless stands for Kotlin serverless framework. Its focus lies in reducing the routine of serverless deployment creation by generating it straight from the code of the application itself. So, simply speaking, Kotless gives you one magic button to deploy your Web application as a serverless application on AWS and Azure. Kotless is able to deploy existing Spring Boot or Ktor applications to AWS serverless platform. To do it, you'll need to set up a plugin and replace the existing dependency... -
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Metl ETL Data Integration
Simple message-based, web-based ETL integration
Metl is a simple, web-based ETL tool that allows for data integrations including database, files, messaging, and web services. Supports RDBMS, SOAP, HTTP, FTP, SFTP, XML, FIXLEN, CSV, JSON, ZIP, and more. Metl implements scheduled integration tasks without the need for custom coding or heavy infrastructure. It can be deployed in the cloud or in an internal data center, and it was built to allow developers to extend it with custom components. -
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go-nsq
The Go package for NSQ
The Go package for NSQ. See godoc and the main repo apps directory for examples of clients built using this package. Tests are run via ./test.sh (which requires nsqd and nsqlookupd to be installed). Operationally, NSQ is easy to configure and deploy (all parameters are specified on the command line and compiled binaries have no runtime dependencies). For maximum flexibility, it is agnostic to data format (messages can be JSON, MsgPack, Protocol Buffers, or anything else). Go and Python... -
Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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GoReplay
The Swiss Army knife for testing and monitoring
Increase confidence in code deployments, configuration changes and infrastructure changes with GoReplay! GoReplay is an innovative open source tool that captures and replays live HTTP traffic, using it to continuously test your system with real data. Now you don’t have to put up with risks that come with putting a third-party component in the critical path. With GoReplay you can analyze and record your application traffic without affecting it whatsoever. Use it for shadowing, load... -
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Apex Up
Deploy infinitely scalable serverless apps, APIs and sites
Up deploys infinitely scalable serverless apps, APIs, and static websites in seconds, so you can get back to working on what makes your product unique. Up focuses on deploying “vanilla” HTTP servers so there’s nothing new to learn, just develop with your favorite existing frameworks such as Express, Koa, Django, Golang net/HTTP or others. Up currently supports Node.js, Golang, Python, Java, Crystal, and static sites out of the box. Up is platform-agnostic, supporting AWS Lambda and API... -
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ML workspace
All-in-one web-based IDE specialized for machine learning
...Usable as remote kernel (Jupyter) or remote machine (VS Code) via SSH. Easy to deploy on Mac, Linux, and Windows via Docker. Jupyter, JupyterLab, and Visual Studio Code web-based IDEs.By default, the workspace container has no resource constraints and can use as much of a given resource as the host’s kernel scheduler allows. -
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Hazel
Lightweight update server for Electron apps
This project lets you deploy an update server for Electron apps with ease: You only need to click a button. The result will be faster and more lightweight than any other solution out there! Once it's deployed, paste the deployment address into your code (please keep in mind that updates should only occur in the production version of the app, not while developing). Since Hazel routes all the traffic for downloading the actual application files to GitHub Releases, you can use their API to... -
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Lagrange
A minimalist Jekyll theme for running a personal blog
Lagrange is a minimalist Jekyll theme for running a personal blog or site for free through Github Pages, or on your own server. Everything that you will ever need to know about this Jekyll theme is included in the README below, which you can also find in the demo site. For a guide on how to deploy a Jekyll site using GitHub Pages, please check out this article. Lagrange is a Jekyll theme that was built to be 100% compatible with GitHub Pages. If you are unfamiliar with GitHub Pages, you can... -
$300 Free Credits to Build on Google CloudStart your next project with $300 in free Google Cloud credit. Spin up VMs, run containers, query petabytes in BigQuery, or build agents with Gemini Enterprise Agent Platform. Once your credits are used, keep building with 20+ always-free tier products including Compute Engine, Cloud Storage, GKE, and Cloud Run functions. No commitment required—just sign up and start building.
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deps.cloud
Index and query dependencies across your company's private repository
Index and query dependencies across your company's private repositories. deps.cloud is a tool to help companies understand what libraries and projects their systems use. It works by detecting dependencies defined in common manifest files (pom.xml, package.json, go.mod, etc). Using this information, we’re able to answer questions about project dependencies. Modules in deps.cloud can represent a library (the common case), application, or repository. This can largely depend on how a given... -
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Open Application Model
Open Application Model (OAM)
Open Application Model (OAM) is a set of standard yet higher-level abstractions for modeling cloud-native applications on top of today's hybrid and multi-cloud environments. Focused on application rather than container or orchestrator, Open Application Model brings modular, extensible, and portable design for defining application deployment with higher level API. This is the key to enabling simple, consistent yet robust application delivery across hybrid environments including Kubernetes,... -
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academic
A Jekyll theme for academia
A Jekyll theme designed for academia, although you can use it for almost any other purpose as well. -
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Opyrator
Turns your machine learning code into microservices with web API
Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and executable files or Docker images. Opyrator builds on open standards - OpenAPI, JSON Schema, and Python type hints - and is powered by FastAPI, Streamlit, and Pydantic. It cuts out all the pain for productizing and sharing your Python code - or anything you can wrap into a single Python... -
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KUDO
Kubernetes Universal Declarative Operator (KUDO)
Kubernetes Universal Declarative Operator (KUDO) provides a declarative approach to building production-grade Kubernetes Operators covering the entire application lifecycle. The Kubernetes Universal Declarative Operator (KUDO) is a highly productive toolkit for writing Kubernetes Operators. Using KUDO you can deploy your applications, have the tools needed to operate them, and understand how they're behaving, all without a Ph.D. in Kubernetes. KUDO lets you configure an Operator’s entire... -
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mevn
Light speed setup for MEVN(Mongo Express Vue Node) Apps
MEVN-CLI takes care of everything from project scaffolding to the deployment phase. Deploy your production-ready application to the cloud solution of choice. Get up and running with a multi-container Docker application in no time. A CLI tool for getting started with the MEVN stack. It offers a super-simple boilerplate template and additional utilities for building a MEVN stack-based webapp. It takes away the hassle of setting up the local development environment which may become a nightmare... -
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BudgetML
Deploy a ML inference service on a budget in 10 lines of code
Deploy a ML inference service on a budget in less than 10 lines of code. BudgetML is perfect for practitioners who would like to quickly deploy their models to an endpoint, but not waste a lot of time, money, and effort trying to figure out how to do this end-to-end. We built BudgetML because it's hard to find a simple way to get a model in production fast and cheaply. Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST,... -
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Gluon CV Toolkit
Gluon CV Toolkit
GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection,... -
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CF Workers Status Page
Monitor your websites, showcase status including daily history
Monitor your websites, showcase status including daily history, and get Slack notifications whenever your website status changes. Using Cloudflare Workers, CRON Triggers, and KV storage. -
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Jekyll Starter Kit
Jekyll Progressive Web App Generator
Jekyll Progressive Web App Generator. -
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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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Litemall
litemall = Spring Boot
Litemall is a lightweight e-commerce system built with Spring Boot, MyBatis, and Vue.js, designed for small and medium-sized online retail platforms. It provides a full-featured backend management interface along with customer-facing mobile and web portals. Litemall supports common e-commerce features such as product catalog, order processing, payment integration, user management, and statistical analysis, making it easy to customize and deploy a standalone online store. -
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mm-wiki
Lightweight enterprise knowledge sharing and team collaboration
MM-Wiki is a lightweight enterprise knowledge sharing and team collaboration software that can be used to quickly build an enterprise Wiki and team knowledge sharing platform. Easy to deploy and easy to use, it helps teams build a collaborative environment for information sharing and document management. It is easy to deploy, written based on golang, and you only need to download and execute the binary files under the platform. Quick Installer, provides a convenient installation interface... -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies... -
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SageMaker MXNet Training Toolkit
Toolkit for running MXNet training scripts on SageMaker
SageMaker MXNet Training Toolkit is an open-source library for using MXNet to train models on Amazon SageMaker. For inference, see SageMaker MXNet Inference Toolkit. For the Dockerfiles used for building SageMaker MXNet Containers, see AWS Deep Learning Containers. For information on running MXNet jobs on Amazon SageMaker, please refer to the SageMaker Python SDK documentation. With the SDK, you can train and deploy models using popular deep learning frameworks Apache MXNet and TensorFlow.... -
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Nebula-Python-SDK
A python SDK for managing Nebula container orchestrator
A python SDK for managing Nebula container orchestrator. First, get NebulaPythonSDK onto your machine, now use it in your code. Nebula container orchestrator aims to help devs and ops treat IoT devices just like distributed Dockerized apps. It aim is to act as Docker orchestrator for IoT devices as well as for distributed services such as CDN or edge computing that can span thousands (possibly even millions) of devices worldwide and it does it all while being open-source and completely free....
