Search Results for "deploy" - Page 19
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Showing 1136 open source projects for "deploy"
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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django-environ
Django-environ allows you to utilize 12factor inspired environment
The idea of this package is to unify a lot of packages that make the same stuff: Take a string from os.environ, parse and cast it to some of useful python typed variables. To do that and to use the 12factor approach, some connection strings are expressed as url, so this package can parse it and return a urllib.parse.ParseResult. These strings from os.environ are loaded from a .env file and filled in os.environ with setdefault method, to avoid overwriting the real environment. A similar... -
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Devtron
Tool integration platform for Kubernetes
Devtron deeply integrates with products across the lifecycle of microservices,i.e., CI, CD, security, cost, debugging, and observability via an intuitive web interface. Devtron is designed to be modular, and its functionality can be easily extended with the help of integrations. Devtron CI/CD with GitOps integration is used to automate the builds and deployments and enables the software development teams to focus on meeting the business requirements, code quality, and security. Devtron... -
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ClearML
Streamline your ML workflow
...The ClearML Server storing experiment, model, and workflow data, and supports the Web UI experiment manager, and ML-Ops automation for reproducibility and tuning. It is available as a hosted service and open source for you to deploy your own ClearML Server. The ClearML Agent for ML-Ops orchestration, experiment and workflow reproducibility, and scalability. -
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Skytable
Skytable is a fast, secure and reliable realtime NoSQL database
SkytableTM is an insanely fast, free, and open-source, real-time NoSQL database that aims to provide flexible data modeling without compromising on performance or query ability, at scale. Skytable has got exciting features which are ready to deploy and more amazing features on the way. Scale to millions of queries per second per node with no optimizations left on the table. Automated background saving, snapshots and remote snapshots are there when you need them. Natively multithreaded to exploit all CPU cores which helps lower your TCO. Written in Rust with expert analyzed unsafe code for memory safety and TLS for encrypted connections. ... -
Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. ... -
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Agola
Agola CI/CD Redefined
...Runs definitions are committed inside your git repositories and triggered upon push/tag/pull request. Scalable and High Available: go from a single instance (single process) deployment to a distributed deployment. Deploy anywhere: Kubernetes, IaaS, bare metal and execute the "tasks" anywhere (currently containers executors like docker or orchestrators and Kubernetes, but easily extensible to future technologies or VMs instead of containers). Support any language, deployment system etc. (just use the right image). -
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DevSpace
The Fastest Developer Tool for Kubernetes
Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes. DevSpace is an open-source developer tool for Kubernetes that lets you develop and deploy cloud-native software faster. DevSpace is a very lightweight, client-only CLI tool which uses your current kube-context, just like kubectl or helm. It does not require you to install anything inside your cluster and works out of the box with every Kubernetes cluster. Builds all images in parallel using Docker, kaniko or any custom build commands (e.g. using cloud build). ... -
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GoCD
Main repository for GoCD, continuous delivery server
...GoCD excels at modeling complex CD workflows for fast feedback with its modeling constructs, parallel execution and dependency management. No plugin required, out of box CD. GoCD helps you troubleshoot a broken pipeline by tracking every change from commit to deploy in real time. Compare content, both files and commit messages, across any two arbitrary builds. GoCD integrates with many popular external tools and services via its extensible plugin architecture. We have put a lot of thought into making sure GoCD upgrades are painless and non-breaking even when you are using plugins. -
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ElasticJob
Distributed scheduled job framework
...ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. Scale out for throughput and efficiency improvement. Job processing capacity is flexible and scalable with the allocation of resources. Execute job on suitable time and assigned resources. Aggregation same job to same job executor. Append resources to newly assigned jobs dynamically. ... -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Deployer
Deployment tool with support for popular frameworks out of the box
...By default deployer keeps the last 5 releases, but you can increase this number by modifying the associated parameter. You may want to run some task before/after other tasks. Configuring that is really simple! Defining a host in Deployer is necessary to deploy your application. It can be a remote machine, a local machine or Amazon EC2 instances. Each host contains a hostname, a stage, one or more roles and configuration parameters. -
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MIVisionX
Set of comprehensive computer vision & machine intelligence libraries
MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX delivers highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions along with Convolution Neural Net Model Compiler & Optimizer supporting ONNX, and Khronos NNEF™ exchange formats. The toolkit allows for rapid prototyping and deployment of optimized computer vision and machine learning... -
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RuoYi AI
Enterprise AI platform for building, deploying, and managing apps
RuoYi AI is a full-stack enterprise-oriented AI development platform designed to help developers rapidly build, deploy, and manage intelligent applications using modern large language models and AI ecosystems. It provides a unified framework for integrating multiple AI models from different providers, allowing teams to switch or combine models through a consistent interface without vendor lock-in. RuoYi AI includes built-in support for retrieval-augmented generation, enabling organizations to create secure, private knowledge bases with high-accuracy search and reasoning capabilities. ... -
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AWS GenAI LLM Chatbot
A modular and comprehensive solution to deploy a Multi-LLM
AWS GenAI LLM Chatbot is an enterprise-ready reference solution for deploying a secure, feature-rich generative AI chatbot on AWS with retrieval-augmented generation capabilities. The project is built as a modular blueprint that helps organizations stand up a production-oriented chat experience rather than a simple demo, combining model access, knowledge retrieval, storage, security, and user interface components into one deployable system. It supports multiple model providers and endpoints,... -
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Farfalle
AI search engine - self-host with local or cloud LLMs
...The project integrates large language models with multiple search APIs so that the system can gather information from external sources and synthesize responses into concise answers. It can run either with local language models or with cloud-based providers, allowing developers to deploy it privately or integrate with hosted AI services. The architecture separates the frontend and backend, using modern web technologies such as Next.js and FastAPI to deliver an interactive interface and scalable server logic. Farfalle also includes an agent-based search workflow that plans queries and executes multiple search steps to produce more accurate results than traditional keyword searches. ... -
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NVIDIA Generative AI Examples
Generative AI reference workflows
...The repository includes examples covering topics such as retrieval-augmented generation pipelines, agent-based workflows, and multimodal AI applications that combine text, vision, and data processing. Many of the examples show how to deploy AI services using containerized environments, GPU acceleration, and microservices that can scale across modern infrastructure. Developers can explore sample chatbot applications, document question-answering systems, and knowledge-base pipelines that illustrate how generative AI can interact with external data sources. -
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Excalidraw MCP
Fast and streamable Excalidraw MCP App
...Its design supports fast, streamable rendering with smooth viewport control and optional fullscreen editing so that diagrams feel live and fluid as they evolve. Users can deploy it locally or via services like Vercel, then configure their MCP host to point at the Excalidraw-MCP endpoint, so prompts like “draw an architecture diagram” yield immediate visual results within chat. -
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FastRTC
The python library for real-time communication
...This makes it particularly well suited for building real-time voice (or video) interfaces for applications such as AI assistants, live chat, or collaborative audio/video tools. FastRTC also integrates nicely with UI frameworks (e.g. via a web demo using Gradio), so developers can rapidly prototype and deploy real-time streaming applications without deep knowledge of low-level WebRTC internals. Because voice-enabled AI agents often involve many moving parts (speech-to-text, text processing, text-to-speech, streaming, session/chat management), FastRTC helps by handling the streaming aspect, leaving the rest to be plugged in modularly. -
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Jenkins-Zero-To-Hero
Install Jenkins and configure Docker
...The folder structure includes practical examples such as java-maven-sonar-argocd-helm-k8s and python-jenkins-argocd-k8s, showing real CI/CD flows that build, test, analyze, containerize, and deploy apps to Kubernetes via Argo CD in a GitOps style. The README walks through detailed step-by-step commands and screenshots, making it accessible to beginners who are unfamiliar with Jenkins, AWS, or pipelines. -
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Serverless Java container
A Java wrapper to run Spring, Spring Boot, Jersey, and other apps
...It bridges the gap between traditional servlet or web-framework models and serverless functions by mapping HTTP events from API Gateway into requests your framework understands and routing responses back appropriately. This means you can keep much of your familiar Java-based architecture (controllers, filters, dependency injection) and deploy it in a serverless environment without rewriting everything from scratch. The project supports multiple framework flavors and versions, provides archetypes (Maven/Gradle) to scaffold applications, and maintains separate branches for legacy (Java EE/1.x) and modern (Jakarta EE/2.x+) ecosystems. -
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AWS Chalice
Python Serverless Microframework for AWS
Chalice is a Python microframework for writing and deploying serverless applications on AWS with minimal ceremony. You define routes, event handlers, and background tasks in plain Python, and Chalice turns them into AWS Lambda functions wired to API Gateway, Amazon EventBridge schedulers, S3/SNS/SQS triggers, and more. A single command builds your app, bundles dependencies, generates infrastructure templates, and deploys to your account with sensible defaults. The framework includes local... -
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Dockside
Develop, stage and test on-prem or in your private cloud
Develop, stage, and test on-prem or in your private cloud. Dockside is a tool for provisioning lightweight access-controlled IDEs, staging environments, and sandboxes - aka 'devtainers' - on local machines, on-premises raw metal or VM, or in the cloud. Dockside is a tool for provisioning lightweight access-controlled IDEs, staging environments and sandboxes - aka devtainers - on the local machines, self-hosted on-premises on bare metal or VM, or in the cloud. By provisioning a devtainer for... -
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Helmsman
Helm Charts as Code
Helmsman is a Helm Charts (k8s applications) as Code tool that allows you to automate the deployment/management of your Helm charts from version-controlled code. Helmsman uses a simple declarative TOML file to allow you to describe a desired state for your k8s applications as in the example toml file. Alternatively YAML declaration is also an acceptable example YAML file. Helmsman sees what you desire, validates that your desire makes sense (e.g. that the charts you desire are available in... -
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Kong Ingress Controller Kubernetes (KIC)
Kong for Kubernetes: The official Ingress Controller for Kubernetes
...Kong Ingress Controller configures Kong Gateway as a software load balancer that runs in the cluster and is typically exposed as a LoadBalancer service. Kong recommends using the Kong/ingress Helm chart to deploy the Kong Ingress Controller. This chart supports both DB-less and DB-backed deployments. If you’re not sure which to choose, we recommend choosing DB-less which treats the Kubernetes API server as the source of truth. -
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SuperDuperDB
Integrate, train and manage any AI models and APIs with your database
Build and manage AI applications easily without needing to move your data to complex pipelines and specialized vector databases. Integrate AI and vector search directly with your database including real-time inference and model training. Just using Python. A single scalable deployment of all your AI models and APIs which is automatically kept up-to-date as new data is processed immediately. No need to introduce an additional database and duplicate your data to use vector search and build on... -
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Cutelyst
Web Framework built on top of Qt, using the approach of Catalyst
Create fast and modern web applications that share the same code as your desktop or mobile apps. Why have two or more development teams focused on a specific platform when you can have a single team coding the same code, sharing skills and lines of code. With Qt, you already can write applications for Windows, Linux, Android, MacOS, and iOS using the same source code, Cutelyst allows you to share your C++ code with your web application. Cutelyst has a WSGI server that supports HTTP/1.1,...