Search Results for "docker-compose"
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Showing 107 open source projects for "docker-compose"
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Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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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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Status
Minimal docker container status panel
A minimal docker container management panel written in Python / Flask. Before installing this project, please, make sure you have installed docker and docker-compose. -
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Docker-OSX
Run macOS VM in a Docker! Run near native OSX-KVM in Docker
Run Mac OS X in Docker with near-native performance! X11 Forwarding. iMessage security research! iPhone USB working! macOS in a Docker container. -
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Websoft9
Applications self-hosting and DevOps platform
...It combines application deployment with server administration tools, so users can manage files, containers, users, proxies, SSL, logs, storage, firewalls, and system services from one place. Websoft9 uses familiar technologies such as Docker, Docker Compose, Nginx, Cockpit, Kubernetes, and Swarm rather than introducing a completely new stack. It is useful for individuals, teams, and organizations that want lightweight self-hosting with DevOps-style controls and less manual configuration. -
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Jupyter Docker Stacks
Ready-to-run Docker images containing Jupyter applications
Jupyter Docker Stacks provides a curated set of ready-to-run Docker container images that bundle Jupyter applications with popular data science and computing tools, enabling users to quickly start working in a reproducible environment. These stacks support a range of use cases, from lightweight base notebook images to full featured environments that include scientific computing libraries, machine learning tools, and IDE-like notebook interfaces, all within Docker containers that run consistently across machines. ... -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Docker SDK for Python
A Python library for the Docker Engine API
A Python library for the Docker Engine API. It lets you do anything the docker command does, but from within Python apps, run containers, manage containers, manage Swarms, etc. The latest stable version is available on PyPI. Either add docker to your requirements.txt file or install with pip. To communicate with the Docker daemon, you first need to instantiate a client. -
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Full Stack FastAPI and PostgreSQL
Full stack, modern web application generator
...Many other features including automatic validation, serialization, interactive documentation, authentication with OAuth2 JWT tokens, etc. Celery worker that can import and use models and code from the rest of the backend selectively. REST backend tests based on Pytest, integrated with Docker, so you can test the full API interaction, independent on the database. As it runs in Docker, it can build a new data store from scratch each time. -
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BackAnt CLI
Let your AI agent create clean, easy to maintain flask backends
...Its main goal is to reduce the repetitive work involved in setting up layered backend projects by generating key application components automatically rather than forcing developers to assemble them by hand. The tool creates a structured backend architecture that includes routes, services, repositories, models, startup files, Docker Compose configurations, and CI/CD workflows, which makes it especially useful for teams that want consistency across projects. It can scaffold an entire API or extend an existing project by generating a single route or sub-route, so it supports both greenfield development and iterative expansion. BackAnt CLI is also designed to work with coding agents through an MCP server, which allows compatible AI development tools to generate and modify backend code directly from chat-driven workflows. -
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Cookiecutter Django
Framework for jumpstarting production-ready Django projects quickly
...Send emails via Anymail (using Mailgun by default or Amazon SES if AWS is selected cloud provider, but switchable). Media storage using Amazon S3 or Google Cloud Storage. Docker support using docker-compose for development and production (using Traefik with LetsEncrypt support). Procfile for deploying to Heroku. Provides instructions for deploying to PythonAnywhere. You can run tests with unittest or pytest. -
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Wemake Django Template
Bleeding edge django template focused on code quality and security
...This template is a result of implementing our processes, it should not be considered as an independent part. When developing this template we had several goals in mind. Development environment should be bootstrapped easily, so we use docker-compose for that. Development should be consistent, so we use strict quality and style checks. Development, testing, and production should have the same environment, so again we develop, test, and run our apps in docker containers. Documentation and codebase are the only sources of truth. This template is oriented on big projects, when there are multiple people working on it for a long period of time. -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Patroni
A template for PostgreSQL high availability with Etcd, Consul, etc.
...We call Patroni a "template" because it is far from being a one-size-fits-all or plug-and-play replication system. It will have its own caveats. Use wisely. Currently supported PostgreSQL versions 9.3 to 14. Patroni originated as a fork of Governor, the project from Compose. It includes plenty of new features. For an example of a Docker-based deployment with Patroni, see Spilo, currently in use at Zalando. -
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Jina
Build cross-modal and multimodal applications on the cloud
...Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP, GraphQL protocols with TLS. Intuitive design pattern for high-performance microservices. Seamless Docker container integration: sharing, exploring, sandboxing, versioning and dependency control via Jina Hub. Fast deployment to Kubernetes, Docker Compose and Jina Cloud. Improved engineering efficiency thanks to the Jina AI ecosystem, so you can focus on innovating with the data applications you build. -
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PokeAPI
The Pokémon API
...The option to build individual portions of the database was removed in order to increase the performance of the build script. There is also a multi-container set up, managed by Docker Compose. This setup allows you to deploy a production-like environment, with separate containers for each service and is recommended if you need to simply spin up PokéAPI. -
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SageMaker Training Toolkit
Train machine learning models within Docker containers
Train machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. To train a model, you can include your training script and dependencies in a Docker container that runs your training code. -
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Kapitan
Generic templated configuration management for Kubernetes
Generic templated configuration management for Kubernetes, Terraform, and other things. Kapitan aims to be your one-stop configuration management solution to help you manage the ever-growing complexity of your configurations by enabling Platform Engineering and GitOps workflows. It streamlines complex deployments across heterogeneous environments while providing a secure and adaptable framework for managing infrastructure configurations. Kapitan's inventory-driven model, powerful templating... -
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Jenkins-Zero-To-Hero
Install Jenkins and configure Docker
...The course is designed around running Jenkins on an AWS EC2 instance, guiding you through installing Java, configuring Jenkins, and exposing it safely via security group rules. From there, it covers installing plugins like Docker Pipeline, configuring Docker as an agent, and wiring up multi-stage and multi-agent pipelines. 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. ... -
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iptv-api
IPTV live stream source automatic update tool
...Results can be categorized, cached, logged, analyzed, frozen, and restored as source quality changes. Deployment options include GitHub Actions workflows, a command-line interface, a graphical interface, and Docker images for several processor architectures. -
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AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments with TensorFlow and MXNet, Nvidia CUDA (for GPU instances), and Intel MKL (for CPU instances) libraries and are available in the Amazon Elastic Container Registry (Amazon ECR). The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. ... -
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Testcontainers Python
Testcontainers is a Python library that providing a friendly API
Testcontainers is a Python library that provides a friendly API to run a Docker container. It is designed to create a runtime environment to use during your automatic tests. -
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ZaneOps
A self-hosted PaaS for deploying and managing web apps
...It is designed as an alternative to platforms like Heroku, Railway, Render, Vercel, and Netlify while keeping ownership of infrastructure in the user’s hands. The platform uses Docker Swarm for scalable container orchestration and Caddy for flexible routing and web serving. It gives developers a polished dashboard for managing projects, deployments, logs, URLs, environment variables, resource limits, and service configuration. ZaneOps supports Docker image deployments and deployment webhooks, making it useful for automated release workflows. ... -
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JAX Toolbox
Public CI, Docker images for popular JAX libraries
JAX Toolbox is a development toolkit designed to streamline and optimize the use of JAX for machine learning and high-performance computing on NVIDIA GPUs. It provides prebuilt Docker images, continuous integration pipelines, and optimized example implementations that help developers quickly set up and run JAX workloads without complex configuration. The project supports popular JAX-based frameworks and models, including architectures used for large-scale pretraining such as GPT and LLaMA variants. By offering curated environments and tested configurations, it reduces compatibility issues and accelerates development workflows for both research and production. ... -
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Loggifly
Get Alerts from your Docker Container Logs
LoggiFly is a lightweight, open-source monitoring tool designed to watch Docker container logs in real time and trigger alerts, notifications, or automated actions based on predefined keywords or regular expression patterns. Instead of manually scanning logs for issues or relying solely on centralized monitoring stacks, LoggiFly proactively inspects streams of container output and notifies users through services like Ntfy, Slack, Discord, Telegram, or webhooks when significant events occur. ... -
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Kubespray
Deploy a Production Ready Kubernetes Cluster
...Highly available cluster. Composable (Choice of the network plugin for instance). Supports most popular Linux distributions. Continuous integration tests. The list of available docker versions is 18.09, 19.03, and 20.10. The recommended docker version is 20.10. The kubelet might break on docker's non-standard version numbering (it no longer uses semantic versioning). To ensure auto-updates don't break your cluster look into e.g. yum version lock plugin or apt pin). The target servers must have access to the Internet in order to pull docker images. ... -
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MediaManager
A modern selfhosted media management system for your media library
...Rather than relying on separate tools patched together, MediaManager offers a streamlined interface and workflow where media metadata, collection insights, and automation policies live side-by-side in one system. It is designed for ease of deployment with Docker, supports standardized metadata sources such as TMDB and TVDB, and integrates OAuth/OIDC for secure authentication. Users can browse, search, and manage their media with a responsive web frontend while developers benefit from a clean codebase that uses Python and modern web technologies. Its holistic approach toward acquisition, tracking, and library maintenance reduces duplication, improves media discovery workflows, and simplifies long-term management of large media collections. -
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PaaSTA
An open, distributed platform as a service
PaaSTA is a highly-available, distributed system for building, deploying, and running services using containers and Kubernetes. PaaSTA has been running production services at Yelp since 2016. It was originally designed to run on top of Apache Mesos but has subsequently been updated to use Kubernetes. Over time the features and functionality that PaaSTA provides have increased but the principal design remains the same. PaaSTA aims to take a declarative description of the services that teams... -
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Data Contract CLI
Enforce Data Contracts
...It supports both the Data Contract Specification and the Open Data Contract Standard, making it useful for teams standardizing data governance across different platforms. It can run locally, inside CI/CD pipelines, through Docker, or directly from Python code. Overall, it helps data producers and consumers treat data products more like APIs, with explicit expectations, automated checks, and clearer accountability.
