Search Results for "lifecycle"
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Showing 504 open source projects for "lifecycle"
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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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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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Django Lifecycle Hooks
Declarative model lifecycle hooks, an alternative to Signals
This project provides a @hook decorator as well as a base model and mixin to add lifecycle hooks to your Django models. Django's built-in approach to offering lifecycle hooks is Signals. However, my team often finds that Signals introduce unnecessary indirection and are at odds with Django's "fat models" approach. Django Lifecycle Hooks supports Python 3.7, 3.8 and 3.9, Django 2.0.x, 2.1.x, 2.2.x, 3.0.x, 3.1.x, and 3.2.x. -
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React Lifecycle Methods diagram
Interactive React Lifecycle Methods diagram
React Lifecycle Methods Diagram is an interactive educational visualization of React component lifecycle methods. It is based on a lifecycle diagram originally shared by Dan Abramov and was rebuilt as a React web application. The diagram organizes methods according to when they run during component mounting, updating, and unmounting. Clicking a method opens its corresponding official React documentation for deeper reference. -
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Kargo
Application lifecycle orchestration
Kargo is a next-generation continuous delivery and application lifecycle orchestration platform for Kubernetes. It builds upon GitOps principles and integrates with existing technologies, like Argo CD, to streamline and automate the progressive rollout of changes across the many stages of an application's lifecycle. Kargo's goal is to provide an intuitive and flexible layer "above" existing GitOps tooling, wherein you can describe the relationships between various application instances deployed to different environments as well as procedures for progressing changes from one application instance's source of truth to the next. -
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Gardener
Kubernetes-native system managing the full lifecycle of Kubernetes
Kubernetes-native system managing the full lifecycle of conformant Kubernetes clusters as a service on Alicloud, AWS, Azure, GCP, OpenStack, EquinixMetal, vSphere, MetalStack, and Kubevirt with minimal TCO. Kubernetes is a cloud-native enabler built around the principles of a resilient, manageable, observable, highly automated, loosely coupled system. Gardener is a standard Kubernetes extension and adheres to the same concepts by design. -
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containerd
An open and reliable container runtime
...We'd like to thank the amazing containerd community for making this all possible and we're excited for the future of the project. containerd is available as a daemon for Linux and Windows. It manages the complete container lifecycle of its host system, from image transfer and storage to container execution and supervision to low-level storage to network attachments and beyond. Management of network namespaces containers to join existing namespaces. Network primitives for creation, modification, and deletion of interfaces. Multi-tenant supported with CAS storage for global images. -
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Terraform Provider for AWS
The Terraform AWS provider
Use the Amazon Web Services (AWS) provider to interact with the many resources supported by AWS. You must configure the provider with the proper credentials before you can use it. To learn the basics of Terraform using this provider, follow the hands-on get started tutorials on HashiCorp's Learn platform. Interact with AWS services, including Lambda, RDS, and IAM by following the AWS services tutorials. The AWS provider offers a flexible means of providing credentials for authentication.... -
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SynaBun
Persistent vector memory for AI assistants
...The system integrates tightly with developer workflows by running alongside tools like Claude Code, enabling automatic memory capture, retrieval, and contextual augmentation through lifecycle hooks and commands. One of its defining characteristics is its Neural Interface, a browser-based 3D visualization that represents stored memories as nodes in an interactive graph, allowing users to explore relationships, edit entries, and manage knowledge visually. -
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CyberStrikeAI
CyberStrikeAI is an AI-native security testing platform built in Go
...It supports role-based testing, letting teams define security roles with tailored tool access and prompts, and includes a skills system that encapsulates specialized testing strategies that the AI can incorporate into its planning. Through comprehensive lifecycle management, results are tracked, aggregated, and visualized, with support for versioned persistence, search, and risk severity scoring. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Decompose
Kotlin Multiplatform lifecycle-aware business logic components
Decompose is a Kotlin Multiplatform library for breaking down your code into tree-structured lifecycle-aware business logic components (aka BLoC), with routing functionality and pluggable UI (Jetpack/Multiplatform Compose, Android Views, SwiftUI, Kotlin/React, etc.). -
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Console Component
Create testable command line interfaces
...These commands are created with the Console component. You can also use it to create your own commands. The Application class of the Console component allows you to optionally hook into the lifecycle of a console application via events. Instead of reinventing the wheel, it uses the Symfony EventDispatcher component to do the work -
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Archify
Agent skill for beautiful, verifiable architecture, workflow
...Agents generate typed JSON representations that Archify deterministically compiles into self-contained HTML and SVG. It supports architecture, workflow, sequence, data-flow, and lifecycle diagrams. Interactive viewers provide search, route tracing, upstream and downstream exploration, guided stories, themes, and presentation controls. Built-in validation checks structure, layout, routes, labels, and exports before a diagram is delivered. -
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AI Memory
Solution for long term memory for agent coding CLIs
AI Memory provides persistent long-term memory for AI coding agents so work can continue across sessions and even across different agent vendors. It captures sanitized lifecycle observations automatically through hooks instead of requiring agents to write notes manually. Session activity is consolidated into a plain-Markdown project wiki stored in Git. When a new session begins, the agent receives a bounded handoff containing relevant context, failed approaches, and open questions. Optional managed workstreams add native session resumption and a portable event ledger for higher-fidelity continuity. ... -
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DevSecOps
Collection and Roadmap for everyone who wants DevSecOps
DevSecOps is a curated roadmap and resource collection for integrating security throughout the software development lifecycle. It explains the relationship between development, security, and operations before organizing resources around practical lifecycle stages. Sections cover design, development, build, testing, deployment, operation, and monitoring. The repository links to guidance on threat modeling, secure coding, SAST, DAST, penetration testing, hardening, runtime protection, and security analysis. ... -
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EVE OS
EVE is Edge Virtualization Engine
...EVE supports virtual machines, containers, and unikernels while being hardware-agnostic, making it suitable for industrial gateways, edge clusters, and IoT devices. With its remote provisioning, lifecycle management, and built-in observability tools, EVE brings cloud-like infrastructure capabilities to the edge. -
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Juju
Orchestration engine that enables the deployment, and integration
Juju is an open source application orchestration engine that enables any application operation (deployment, integration, lifecycle management) on any infrastructure (Kubernetes or otherwise) at any scale (development or production) in the same easy way (typically, one line of code), through special operators called ‘charms’. A charm is an operator - business logic encapsulated in reusable software packages that automate every aspect of an application's life. -
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MLflow
Open source platform for the machine learning lifecycle
MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). -
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Coze Loop
Next-generation AI Agent Optimization Platform
Coze Loop is a developer-oriented platform that provides full lifecycle management for AI agents, covering everything from prompt engineering to production monitoring. The project aims to simplify the increasingly complex workflow of building reliable AI agents by offering integrated tools for debugging, evaluation, observability, and optimization. Through its visual playground, developers can test prompts interactively and compare outputs across different language models. -
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BMad Method
Breakthrough Method for Agile Ai Driven Development
BMad Method is a comprehensive AI-driven software development framework that structures the entire lifecycle of building applications through coordinated agent workflows and agile methodologies. It transforms AI from a reactive assistant into a structured team of specialized roles such as product manager, architect, developer, and QA, each operating within predefined workflows. The system guides users through phases including analysis, planning, solution design, and implementation, ensuring that projects are approached systematically rather than through ad hoc prompting. ... -
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Dokku
PaaS implementation to build and manage the lifecycle of applications
The smallest PaaS implementation you've ever seen, Dokku helps you build and manage the lifecycle of applications. Own Your PaaS. Infrastructure at a fraction of the cost. Powered by Docker, you can install Dokku on any hardware. Use it on inexpensive cloud providers. Use the extra cash to buy a pony or feed kittens. You'll save tens of dollars a year on your dog photo sharing website. Easy Git Deploys. From your command-line to the cloud. -
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MLOps Zoomcamp
Free MLOps course from DataTalks.Club
...The course is designed to teach data scientists and engineers how to move machine learning models from experimentation environments into scalable production services. The repository provides lessons, code examples, and assignments that cover the entire MLOps lifecycle, including model training, experiment tracking, deployment, monitoring, and infrastructure management. Students learn to use widely adopted tools such as MLflow, orchestration frameworks, and cloud platforms to manage machine learning pipelines. The curriculum emphasizes hands-on projects so learners gain practical experience building automated ML pipelines and maintaining deployed models. -
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Graphiti
Stylish Graph APIs
...If you just want to get a 5-minute feel for Graphiti code and all the functionality that comes out-of-the-box, head to Quickstart. If you want a birds-eye view of Graphiti’s moving pieces, check out our Intro to Graphiti video or The Lifecycle of a Graphiti Request. Or to understand Resources, Graphiti’s core concept, see the Resource API. Or to dive into code, check out our sample apps in Rails, Sinatra, and Plain Ruby. I’ve written GraphQL and had a pleasant experience. I have enormous respect for GraphQL. I also believe there is a fundamental flaw in GraphQL’s design. -
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Pokedex
Pokedex demonstrates modern Android development with Hilt
Pokedex demonstrates modern Android development with Hilt, Material Motion, Coroutines, Flow, Jetpack (Room, ViewModel) based on MVVM architecture. -
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DataHub
The Metadata Platform for your Data and AI Stack
...Governance features such as glossaries, tags, ownership, and policies bring order and accountability without blocking day-to-day work. APIs and SDKs enable teams to integrate DataHub into catalogs, CI pipelines, and automation so metadata becomes part of the development lifecycle rather than an afterthought. -
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Factory AI
Agent-Native Software Development
Factory is an agent-native software development platform designed to automate and accelerate the entire software engineering lifecycle by leveraging AI agents that can understand, modify, and manage codebases in real time. At its core, the system introduces the concept of “Droids,” specialized AI agents that operate across development environments such as the command line, web interfaces, project management tools, and communication platforms, enabling seamless interaction with engineering workflows. ...
