Search Results for "registry" - Page 4
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Showing 340 open source projects for "registry"
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1
Telepresence
Local development against a remote Kubernetes or OpenShift cluster
Kubernetes was supposed to make your team faster, but now everytime you make a code change you have to wait for containers to build, be pushed to registry, and deployed. With Telepresence, you can make changes to your service as if you're developing locally, without having to run all the dependencies on your local machine. You want to catch errors before they get shipped to production, but to do that you need a realistic development environment and with Kubernetes, those can be expensive. ... -
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Eru
Eru, a simple, stateless, flexible, production-ready orchestrator
...After we implemented bootstrap in eru, now you can build and deploy eru with cli tool. Make sure you can clone code. After the fresh image was named and tagged, it will be auto pushed to the remote registry which was defined in config file. -
3
Toast
Containerize your development and continuous integration environments
...The image is tagged with a cryptographic hash of the shell command for the task, the contents of the files copied into the container, and all the other task inputs. This hash allows Toast to skip tasks that haven't changed since the last run. In addition to local caching, Toast can use a Docker registry as a remote cache. You, your teammates, and your continuous integration (CI) system can all share the same remote cache. -
4
morgan
HTTP request logger middleware for node.js
This is a Node.js module available through the npm registry. Installation is done using the npm install command. Create a new morgan logger middleware function using the given format and options. The format argument may be a string of a predefined name, a string of a format string, or a function that will produce a log entry. The format function will be called with three arguments tokens, req, and res, where tokens is an object with all defined tokens, req is the HTTP request and res is the HTTP response. ... -
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5
OpenFold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction
...We've publicly released model weights and our training data — some 400,000 MSAs and PDB70 template hit files — under a permissive license. Model weights are available via scripts in this repository while the MSAs are hosted by the Registry of Open Data on AWS (RODA). -
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AWS Deep Learning Containers
A set of Docker images for training and serving models in TensorFlow
...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. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well. This project is licensed under the Apache-2.0 License. Ensure you have access to an AWS account i.e. setup your environment such that awscli can access your account via either an IAM user or an IAM role. -
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Kaggle Python Docker
Kaggle Python docker image
Kaggle Python Docker is Kaggle’s official Docker image repository for the Python environment used by Kaggle Notebooks. It contains the Dockerfiles and build configuration for both CPU-only and GPU-enabled notebook images. The project helps users understand, reproduce, and test against the same Python environment that powers Kaggle’s cloud notebooks. It includes a large curated package set for data science, machine learning, visualization, notebooks, and scientific computing. The images are... -
8
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... -
9
Its Hover
Icons that move with intent
...The project is designed to drop cleanly into modern React stacks, including Next.js and shadcn/ui-based projects, with Tailwind-friendly styling patterns. Installation can be as simple as pulling in specific icons and their dependencies, and it supports a registry-style workflow that fits teams that want consistency across products. It’s also meant to be forked and modified: you can copy the source of any icon, tweak the animation curves, adjust stroke width, and refine styling to match your system. -
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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10
Containerization (Apple)
Containerization is a Swift package for running Linux containers
This repository provides educational material and sample code that demystify how containerization works and how container components fit together in practice. It walks through the responsibilities of an image format, registry, and runtime, and shows how a minimal runtime can assemble an isolated process with the right filesystem view, environment, and entrypoint. The samples highlight security hardening considerations—such as process isolation, filesystem scoping, and least-privilege execution—so that containers are not just portable, but safer by default. ... -
11
AutoMLPipeline.jl
Package that makes it trivial to create and evaluate machine learning
AutoMLPipeline (AMLP) is a package that makes it trivial to create complex ML pipeline structures using simple expressions. It leverages on the built-in macro programming features of Julia to symbolically process, and manipulate pipeline expressions and makes it easy to discover optimal structures for machine learning regression and classification. To illustrate, here is a pipeline expression and evaluation of a typical machine learning workflow that extracts numerical features (numf) for... -
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graphql-compose
Toolkit for generating complex GraphQL Schemas on Node.js
Toolkit for generating complex GraphQL schemas in Node.js. Provides a type registry with a bunch of methods for programmatic schema construction. It allows not only to extend types but also remove fields, interfaces, args. If you want to write your graphql schema generator – graphql-compose is a good instrument for you. Provides methods for editing GraphQL output/input types (add/remove fields/args/interfaces) Introduces Resolver's – the named graphql fieldConfigs, which can be used for finding, updating, removing records. ... -
13
wger
Self hosted FLOSS fitness/workout, nutrition and weight tracker
wger Workout Manager is a free and open web application that manages your exercises, routines and nutrition. It started out as a personal project to replace my growing collection of spreadsheets but has turned into something that other people may find useful. You can create and manage flexible training routines for whatever goals you have. Select exactly what exercises you are going to do and how many repetitions, time or distance you want to do. You can also combine different workouts in... -
14
Determined
Determined, deep learning training platform
...Interpret your experiment results using the Determined UI and TensorBoard, and reproduce experiments with artifact tracking. Deploy your model using Determined's built-in model registry. Easily share on-premise or cloud GPUs with your team. Determined’s cluster scheduling offers first-class support for deep learning and seamless spot instance support. Check out examples of how you can use Determined to train popular deep learning models at scale. -
15
GRR
GRR Rapid Response, remote live forensics for incident response
GRR Rapid Response is an incident response framework focused on remote live forensics. It consists of a python client (agent) that is installed on target systems, and python server infrastructure that can manage and talk to clients. The goal of GRR is to support forensics and investigations in a fast, scalable manner to allow analysts to quickly triage attacks and perform analysis remotely. GRR client is deployed on systems that one might want to investigate. On every such system, once... -
16
Kratos
Your ultimate Go microservices framework for the cloud-native era
...The communication protocol is based on the HTTP/gRPC through the definition of Protobuf. Abstract transport layer support: HTTP / gRPC. Powerful middleware design, support: Tracing (OpenTelemetry), Metrics (Prometheus is default), Recovery and more. Registry interface able to be connected with various other centralized registries through plug-ins. The standard log interfaces ease the integration of the third-party log libs with logs collected through the Fluentd. Automatically support the selection of the content encoding with Accept and Content-Type. Multiple data sources are supported for configurations and dynamic configurations (use atomic operations). ... -
17
Google Cloud Build community images
Community-contributed images for Google Cloud Build
...It provides source code for a wide variety of builders that can be used as individual steps within Cloud Build pipelines, enabling developers to execute specialized tasks that are not covered by default builder images. Each builder is packaged as a Docker image and must be built and pushed to a project-specific registry before being used, giving teams full control over versions, dependencies, and customization. The repository follows a standardized structure where each builder includes its own configuration files, examples, and usage instructions, making it easier to integrate into CI/CD workflows. It supports a broad range of use cases such as mobile app builds, infrastructure provisioning, custom scripting, and integration with external tools. -
18
MCP Shrimp Task Manager
Shrimp Task Manager is a task tool built for AI Agents
...It ships with a web/GUI experience and works smoothly inside MCP-capable IDEs, making it useful as both a personal organizer and a programmable task substrate for software projects. Stars, registry listings, and docs point to active usage across the MCP community. The result is a practical “task brain” that agents can query and evolve over time. -
19
ember-engines
Composable Ember applications for ambitious user experiences
...However, they differ from normal Ember applications in that they are intended to be composed within a host application in order to create a single, cohesive user experience. On a technical level, engines and applications are remarkably similar: they each have their own container, registry, context, and namespace. However, unlike an application, an engine does not boot itself nor does it control its own router. Engines rely on their hosts to fulfill these responsibilities. The often-used example of this is a "blogging" application. While a blog itself could be a full-fledged application, you may also wish to use it as a specific subsection of your overall application. -
20
phantomas
Headless Chromium-based web performance metrics collector
Headless Chromium-based modular web performance metrics collector. Modular approach, each metric is generated by a separate "module". phantomas "core" acts as an events emitter that each module can hook into. In-depth metrics such as: number of events bound via jQuery, calls to window.writeor complex and duplicated CSS selectors (via analyze-css). JSON as an output format. Easy integration with other nodejs projects via CommonJS module (see API docs). Metrics can be emitted from the... -
21
docker-java
Java Docker API Client
Java Docker API Client. To start using docker-java , you need to add at least two dependencies. You will need an instance of DockerClientConfig to tell the library how to access Docker, which credentials to use to pull from Docker registries, etc. The builder is available and allows you to configure every property of the client. Should you need to customize the Jackson's ObjectMapper used by docker-java, you can create your own DockerClientConfig. Once you decided which transport to use, you... -
22
Apache Dubbo-go
Go Implementation For Apache Dubbo
Apache Dubbo-go, a Dubbo implementation written in Golang, is born to bridge the gap between Java/Dubbo and Go/X. Dubbo-go has supported many RPC protocols, like Triple, Dubbo JSONRPC, gRPC, HTTP, HTTP2. Triple is the supported protocol of Dubbo3 ecology and is a gRPC extended protocol based on HTTP2, which is compatible with the gRPC service. In other words, on the basis of gRPC's reliable invocation, it adds Dubbo's service governance capability. Dubbo protocol is traditional Dubbo ecology... -
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DevSpace
The Fastest Developer Tool for Kubernetes
...Builds all images in parallel using Docker, kaniko or any custom build commands (e.g. using cloud build). Tags images according to customizable tag schema and updates tags in manifests and Helm chart values. Pushes images to any public or private registry and automatically creates pull secrets if needed. If your project depends on a service which is part of a different git repository, you can add a devspace.yaml config file to each of the repositories and define dependencies between them. -
24
Anthony Fu's Skills
Anthony Fu's curated collection of agent skills
...By offloading detailed task patterns into discrete skill modules, developers can greatly extend what coding agents can do without retraining the underlying language model itself. The project serves as a curated registry of utilities that save time, standardize best practices, and encode expertise across domains, while still being easy to customize or extend. Contributors can add new skills following a common format, meaning the repository grows organically with community-driven capabilities. -
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Node Modules Inspector
Interactive UI for local node modules inspection
...It supports projects using npm, pnpm or bun. The idea is to help developers visualise the dependency graph, see which dependencies are installed, their sizes, types (ESM vs CJS), origins (catalog vs registry), and filter or build a static report of a project’s dependency tree. The project includes a web UI version that you can try at node-modules.dev, and a build command to generate a static output (folder .node-modules-inspector) for hosting. It supports configuration via node-modules-inspector.config.ts for customizing filters and display settings. ...
