Search Results for "lifecycle"
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Showing 445 open source projects for "lifecycle"
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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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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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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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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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PreCompose
Compose Multiplatform Navigation && State Management
Compose Multiplatform Navigation && ViewModel, inspired by Jetpack Navigation, ViewModel and Lifecycle, PreCompose provides similar (or even the same) components for you but in Kotlin, and it's Kotlin Multiplatform project. -
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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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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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asap
A modern cmake starter project for C++ with a complete build lifecycle
A modern cmake starter project for C++ with a complete build lifecycle, testing, dependency management, etc. Portable across Linux, OS X and Windows. Have you ever found yourself spending countless hours trying to figure out how to start a professional C++ project with unit tests, a robust dev workflow, change logs, code coverage, linting, formatting...? The C++ ecosystem is getting better but is still very far away from other ecosystems such as JavaScript, or even Rust. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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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. -
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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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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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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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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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Inferno
React-like JavaScript library for building modern user interfaces
...Inferno was only designed for the browser/server with the DOM in mind. Inferno doesn't support legacy string refs, use `createRef` or callback `ref` API. Inferno provides lifecycle events on functional components. This is a major win for people who prefer lightweight components rather than ES2015 classes. -
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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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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. ... -
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Polyaxon
MLOps tools for managing & orchestrating the ML LifeCycle
Polyaxon is an open-source machine learning operations (MLOps) platform built to help individuals, teams, and organizations develop, train, orchestrate, and monitor machine learning and deep learning workflows at scale with reproducibility and automation as core principles. It provides a unified solution for tracking experiments, managing datasets, scheduling jobs, and comparing results across runs, which greatly improves productivity and collaboration in data science teams. Polyaxon... -
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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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libsu
A complete solution for apps using root permissions
libsu is a modern Android library that provides a safe, convenient API for executing commands with root privileges and interacting with the Android shell. Instead of ad-hoc Runtime.exec calls, it offers structured sessions, proper I/O streams, and lifecycle handling that works reliably across devices. The library focuses on developer ergonomics: thread-safe helpers, Kotlin-friendly APIs, and utilities for file operations, process management, and parcelable data transfer. It’s designed to interoperate smoothly with Magisk-based root environments while degrading gracefully on non-rooted devices when possible. ... -
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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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Microsoft MCP Gateway
MCP Gateway is a reverse proxy and management layer for MCP servers
Microsoft’s MCP Gateway is a reverse proxy and management layer for MCP servers that adds session-aware routing, lifecycle management, and scalable orchestration. It centralizes how clients connect to many MCP services, enabling multi-tenant isolation and consistent policies while keeping each service independently deployable. The architecture targets Kubernetes, with manifests and guidance for cluster-native scaling, health probes, and rollout strategies. -
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overseer
Monitorable, gracefully restarting, self-upgrading binaries in Go
...Overseer works by spawning and managing child processes, coordinating upgrades in a controlled manner to ensure stability. It also supports version management and rollback strategies, giving developers greater control over application lifecycle and deployment safety. The library integrates directly into Go applications, making it easy to embed upgrade logic without complex infrastructure changes. -
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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.
