Search Results for "cloud" - Page 18
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Showing 767 open source projects for "cloud"
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1
Sysbox
Open-source, next-generation "runc" that empowers rootless containers
...Sysbox does this by making the container resemble a VM-like environment as much as possible, using advanced OS virtualization techniques. Unlike alternative runtimes such as Kata and KubeVirt, it does not use VMs. This makes it easier to use (particularly in cloud environments by avoiding nested virtualization), although it does not provide the level of isolation that VM-based runtimes do. -
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.NET for Apache Spark
A free, open-source, and cross-platform big data analytics framework
...This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks. -
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Go Katas
A collection of daily coding challenges
...Implementations can be tested locally, graded automatically with included test suites, and iterated on so that learners get rapid feedback and measurable progress. Because Go is widely used for backend services, cloud tooling, and systems programming, this repository helps participants build confidence in writing reliable, idiomatic, and maintainable code in real environments. -
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faas-netes
Serverless Functions For Kubernetes
faas-netes is an OpenFaaS provider which enables Kubernetes for OpenFaaS. It's part of a larger stack that brings a cloud-agnostic serverless experience to Kubernetes. The existing REST API, CLI, and UI are fully compatible. With OpenFaaS Standard/Enterprise, you have an optional operator mode so that you can manage functions with Kubectl and a CustomResource. You can deploy OpenFaaS to any Kubernetes service - whether managed or local, including to OpenShift. -
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Ignite UI CLI
Ignite UI Command-Line Interface by Infragistics
...Kickstart your next project with our drag-and-drop WYSIWYG App Builder for the fastest way to deliver high-performance Angular apps. Angular app development has never been easier with the cloud-based WYSIWYG drag & drop App Builder™. Instantly convert designs into production-ready HTML, TypeScript & CSS for Angular and deliver apps faster than ever before. If you don't have a design team, we’ve got you covered. Start your business app from scratch or choose from a library of pre-built app templates, and responsive screen layouts with built-in or custom theming options. ... -
6
GraphQL Inspector
Validate schema, get schema change notifications, validate operations
...GraphQL Inspector offers a CLI that lets you analyze your GraphQL API but also client-side applications. Our codebase is publicly available on GitHub and it's easy to deploy and use your GitHub Application. Cloud service and self-hosted Performance Monitoring tool and Schema. GitHub offers in-code annotations and GraphQL Inspector, both App and Action enables you to use them. Nice and clean way to understand what have really changed and how it looked before and after. Stay up to date with changes in GraphQL Schema. Receive notifications on Slack, Discord or even via Webhooks every time new changes are introduced. -
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AWS IoT Device Shadow library
Client library for using AWS IoT Shadow service on embedded devices
...The device can send commands over MQTT to get, update and delete its latest state as well as receive notifications over MQTT about changes in its state. Each device’s shadow is uniquely identified by the name of the corresponding “thing”, a representation of a specific device or logical entity on the AWS Cloud. See Managing Devices with AWS IoT for more information on IoT "thing". More details about AWS IoT Device Shadow can be found in AWS IoT documentation. This library is distributed under the MIT Open Source License. -
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AWS ParallelCluster Cookbook
The Chef cookbook used to build and bootstrap 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. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
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AWS SDK for Go v2
AWS SDK for the Go programming language
Welcome to the AWS SDK for Go. The AWS SDK for Go V2 provides APIs and utilities that developers can use to build Go applications that use AWS services, such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Simple Storage Service (Amazon S3). The SDK removes the complexity of coding directly against a web service interface. It hides a lot of the lower-level plumbing, such as authentication, request retries, and error handling. The SDK also includes helpful utilities. For example, the Amazon S3 download and upload manager can automatically break up large objects into multiple parts and transfer them in parallel. ... -
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DocsGPT
Private AI platform for agents, enterprise search and RAG pipelines
DocsGPT is an open-source AI platform for deploying private RAG pipelines, AI agents, and enterprise search on your own infrastructure. Connect any data source (PDFs, DOCX, CSV, Excel, HTML, audio, GitHub, databases, URLs) and get accurate, hallucination-free answers with source citations. Choose your LLM: OpenAI, Anthropic, Google Gemini, or local models. Works with Qdrant, MongoDB, and Elasticsearch and more. Deploy via Docker or Kubernetes with full data sovereignty. Build... -
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Apache Sedona
Cluster computing framework for processing large-scale geospatial data
...Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. You can simply create spatial analytics and data mining applications and run them in any cloud environments. -
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Awesome Privacy
A curated list of privacy & security-focused software and services
Awesome Privacy is a curated directory of privacy-respecting alternatives to mainstream apps and services, organized across many categories like browsers, search, email, messaging, cloud storage, and operating systems. It aims to help you choose tools that reduce tracking, fingerprinting, and data collection without sacrificing usability. Each entry highlights the project’s core properties—such as open source status, end-to-end encryption, and platform availability—so you can evaluate trade-offs quickly. Because product landscapes change fast, the list emphasizes ongoing maintenance and community discussion around quality and trust. ... -
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Node.js Testing Best Practices
Beyond the basics of Node.js testing
This repository narrows the testing lens to Node.js backends, focusing on the challenges of servers, microservices, and cloud-native deployments. It covers API testing, contract testing, and persistence-layer strategies that avoid coupling tests to fragile implementation details. The material explains how to structure tests around process boundaries—HTTP, queues, cron jobs—while keeping fast feedback cycles through selective integration tests and reliable test doubles. -
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EKS Best Practices
A best practices guide for day 2 operations
...Rather than a code library, it serves as a reference catalogue of patterns, anti-patterns, checklists and architectures across domains such as security, reliability, scalability, networking, cost optimization and hybrid cloud deployments. The repository is maintained by AWS but open to contributions from the community, making it a living document that evolves as Kubernetes and AWS features evolve. Each section dives into operational details—for example, how to manage IAM roles for service accounts, secure the EKS endpoint, handle node auto-scaling, and design for multi-AZ resilience. ... -
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MooseStack
The developer framework for building analytical backends
...It typically includes helpers for dependency management, task automation, and continuous integration hooks, allowing new contributors to bootstrap a development environment with a single command. Deployment is treated as part of the developer experience, with templates for promoting builds and pushing to cloud infrastructure so releases are predictable. -
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Newman
Newman is a command-line collection runner for Postman
Newman is Postman’s open-source command-line runner for collections, enabling the execution and testing of Postman Collections directly via CLI or Node.js scripts. It shines in CI/CD integration by offering flexible reporting, scripting, and automation capabilities. The easiest way to install Newman is using NPM. If you have Node.js installed, it is most likely that you have NPM installed as well. Newman can be easily used within your JavaScript projects as a Node.js module. The entire set... -
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Graph Notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop
...Using this open-source Python package, you can connect to any graph database that supports the Apache TinkerPop, openCypher or the RDF SPARQL graph models. These databases could be running locally on your desktop or in the cloud. Graph databases can be used to explore a variety of use cases including knowledge graphs and identity graphs. This project includes many examples of Jupyter notebooks. It is recommended to explore them. All of the commands and features supported by graph notebook are explained in detail with examples within the sample notebooks. ... -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
...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. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
19
FATE
An industrial grade federated learning framework
...Supporting various federated learning scenarios, FATE now provides a host of federated learning algorithms, including logistic regression, tree-based algorithms, deep learning and transfer learning. FATE became open-source in February 2019. FATE TSC was established to lead FATE open-source community, with members from major domestic cloud computing and financial service enterprises. FedAI is a community that helps businesses and organizations build AI models effectively and collaboratively, by using data in accordance with user privacy protection, data security, data confidentiality and government regulations. -
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GoCD
Main repository for GoCD, continuous delivery server
GoCD’s value stream map shows your entire path to production in a single view. Easily navigate across jobs, spot inefficiencies, and optimize your process. No plugin required, out of box CD. GoCD streamlines your CD workflow on popular cloud environments such as Kubernetes, Docker, AWS and more. 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. ... -
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AWS Chalice
Python Serverless Microframework for AWS
...A single command builds your app, bundles dependencies, generates infrastructure templates, and deploys to your account with sensible defaults. The framework includes local development tools so you can iterate on HTTP routes and inspect logs before shipping to the cloud. It also manages per-stage configuration, environment variables, IAM permissions scaffolding, and packaging optimizations to keep cold starts small. While it’s intentionally lightweight, it supports common production needs like CORS, custom authorizers, binary responses, and fine-grained IAM so you can grow from prototype to production without rewriting your stack. -
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UCO3D
Uncommon Objects in 3D dataset
uCO3D is a large-scale 3D vision dataset and toolkit centered on turn-table videos of everyday objects drawn from the LVIS taxonomy. It provides about 170,000 full videos per object instance rather than still frames, along with per-video annotations including object masks, calibrated camera poses, and multiple flavors of point clouds. Each sequence also ships with a precomputed 3D Gaussian Splat reconstruction, enabling fast, differentiable rendering workflows and modern implicit/point-based... -
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fvcore
Collection of common code shared among different research projects
...A standout capability is FLOP and activation counting, which analyzes arbitrary PyTorch graphs to report cost by operator and by module for precise profiling. The file I/O layer (PathManager) abstracts local/remote storage so the same code can read from disks, cloud buckets, or HTTP endpoints. Because it is small, stable, and well-tested, fvcore is frequently imported by projects like Detectron2 and PyTorchVideo to avoid duplicating infrastructure and to keep research repos. -
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Office Docs PowerShell
PowerShell Reference for Office Products
...It collects guidance for admins on tasks such as Exchange Online mail flow, SharePoint site provisioning, Teams configuration, and tenant-level policy settings—often including parameter examples, common scenarios, and troubleshooting notes. The docs are structured so operators can copy/paste ready examples into their automation scripts or adapt them for bulk changes using CSV-driven loops. Because cloud management frequently involves idempotent, auditable operations, the content emphasizes safe patterns (what changes will do, UI equivalents, and rollback hints). Versioning matters here: the repository tracks changes as Microsoft updates service APIs and cmdlets, helping teams stay current and avoid deprecated workflows. -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
...Leverage your existing SQL skillsets and BI tools including Tableau, Qlikview, MicroStrategy, Spotfire, Excel and more. Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop.
