Open Source Linux Cloud Services Software - Page 4
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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OpenFunction
Cloud Native Function-as-a-Service Platform (CNCF Sandbox Project)
OpenFunction is a cloud-native open source FaaS (Function as a Service) platform aiming to let you focus on your business logic without having to maintain the underlying runtime environment and infrastructure. You only need to submit business-related source code in the form of functions. -
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Tuya API
An easy-to-use API for devices that use Tuya's cloud services
A Node.js library that enables control of Tuya smart devices without using the official Tuya cloud, allowing local LAN control of IoT devices. -
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formidable
The most used, flexible, fast and streaming parser
The most used, flexible, fast and streaming parser for multipart form data. Supports uploading to serverless environments, AWS S3, Azure, GCP or the filesystem. Used in production. This project is semantically versioned and available as part of the Tidelift Subscription for professional-grade assurances, enhanced support and security. The maintainers of formidable and thousands of other packages are working with Tidelift to deliver commercial support and maintenance for the Open Source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Of course, with Koa v1, v2 or future v3 the things are very similar. You can use formidable manually as or through the koa-better-body package which is using formidable under the hood and support more features and different request bodies, check its documentation for more info. -
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libfabric
AWS Libfabric
The Open Fabrics Interfaces (OFI) is a framework focused on exporting fabric communication services to applications. Libfabric pre-built binaries may be available from other sources, such as Linux distributions. Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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pyinfra
pyinfra turns Python code into shell commands
pyinfra is a high-performance infrastructure automation and configuration management framework that uses Python instead of YAML to define deployments and operational workflows. The system converts Python code into shell commands and executes them across servers, Docker containers, and local machines through an agentless architecture. Designed as an alternative to tools like Ansible, pyinfra prioritizes speed, scalability, and developer flexibility while maintaining a declarative operational model. It supports ad-hoc command execution, reusable operations, inventory management, and parallel deployments across thousands of hosts. The framework integrates naturally with existing DevOps ecosystems and allows users to create highly customizable deployment logic using native Python syntax. Its architecture combines infrastructure-as-code concepts with efficient remote execution, making it suitable for modern cloud and server automation workflows. -
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react-hn
React-powered Hacker News client
Supports display of all item types: stories, jobs, polls and comments. Basic user profiles. Collapsible comment threads, with child counts. "Realtime" updates (free via Firebase!). Last visit details for stories are cached in localStorage. New comments are highlighted. Comments since your last visit to an item. New comments which load while you're reading an item. New comments in collapsed threads. Automatic or manual collapsing of comment threads that don't contain any new comments. Manual highlighting of the X most recent comments to catch up on threads you were reading elsewhere. Stories with new comments are marked on list pages. Stories can be marked as read to remove highighting from new comments. "Comments" sections are driven by the Changed Items API. Story listing pages are cached in sessionStorage for quick back button usage and pagination in the same session. Configurable settings. Auto collapse - automatically collapses comment threads without new comments on page load. -
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Zenoss Community Edition
Zenoss - Intelligent IT Operations Management
Zenoss provides software-defined IT operations for the world’s largest organizations. We deliver the ultimate level of IT service health with simplicity by providing the most granular and intelligent IT service modeling possible, at any scale, and sharing these unique insights with other IT operations management (ITOM) tools to make them more efficient. Zenoss Community Edition is not a “demo” or trial version of Zenoss Enterprise or Zenoss Cloud! Before You install Zenoss Community Edition, check out Zenoss Cloud, our new Saas-based platform for intelligent IT operations management, designed for enterprise hybrid IT environments. https://www.zenoss.com/product/zenoss-cloud-it-operations-management Zenoss Cloud extends your monitoring capabilities well beyond those available in our Community Edition. View the differences here: https://www.zenoss.com/get-started Features of Zenoss Cloud include: -
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AWS CodeDeploy Agent
Host Agent for AWS CodeDeploy
AWS CodeDeploy is a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Fargate, AWS Lambda, and your on-premises servers. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during application deployment, and handles the complexity of updating your applications. You can use AWS CodeDeploy to automate software deployments, eliminating the need for error-prone manual operations. The service scales to match your deployment needs. AWS CodeDeploy fully automates your software deployments, allowing you to deploy reliably and rapidly. You can consistently deploy your application across your development, test, and production environments whether deploying to Amazon EC2, AWS Fargate, AWS Lambda, or your on-premises servers. The service scales with your infrastructure. -
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AWS IoT Device SDK for Embedded C
SDK for connecting to AWS IoT from a device using embedded C
The AWS IoT Device SDK for Embedded C (C-SDK) is a collection of C source files under the MIT open source license that can be used in embedded applications to securely connect IoT devices to AWS IoT Core. It contains MQTT client, HTTP client, JSON Parser, AWS IoT Device Shadow, AWS IoT Jobs, and AWS IoT Device Defender libraries. This SDK is distributed in source form and can be built into customer firmware along with application code, other libraries, and an operating system (OS) of your choice. These libraries are only dependent on standard C libraries, so they can be ported to various OS's - from embedded Real-Time Operating Systems (RTOS) to Linux/Mac/Windows. You can find sample usage of C-SDK libraries on POSIX systems using OpenSSL (e.g. Linux demos in this repository), and on FreeRTOS using mbedTLS (e.g. FreeRTOS demos in the FreeRTOS repository). The coreHTTP library provides the ability to establish an HTTP connection with a server over a customer-implemented transport layer. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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AWS SigV4 Library
AWS library to sign AWS HTTP requests with Signature Version 4
The AWS SigV4 Library is a standalone library for generating authorization headers and signatures according to the specifications of the Signature Version 4 signing process. Authorization headers are required for authentication when sending HTTP requests to AWS. This library can optionally be used by applications sending direct HTTP requests to AWS services requiring SigV4 authentication. This library has no dependencies on any additional libraries other than the standard C library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis, and validation of memory safety through the CBMC automated reasoning tool. -
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Amazon EKS Anywhere
Run Amazon EKS on your own infrastructure
Amazon EKS Anywhere is an open-source deployment option for Amazon EKS that allows customers to create and operate Kubernetes clusters on-premises, with optional support offered by AWS. EKS Anywhere supports VMware vSphere as the first deployment target, with others coming in the near future, including bare metal coming in 2022. Amazon EKS Anywhere helps simplify the creation and operation of on-premises Kubernetes clusters with default component configurations while providing tools for automating cluster management. AWS supports all Amazon EKS Anywhere components including the integrated 3rd-party software, so that customers can reduce their support costs and avoid maintenance of redundant open-source and third-party tools. Amazon EKS Anywhere gives you on-premises Kubernetes operational tooling that’s consistent with Amazon EKS. It builds on the strengths of Amazon EKS Distro and provides open-source software that’s up-to-date and patched. -
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Azure SDK for JavaScript
This repository is for active development of the Azure SDK for JS
This repository is for the Azure SDK for JavaScript (Node.js & Browser). It contains libraries for the breadth of Azure services. Management libraries are packages that you would use to provision and manage Azure resources. Client libraries are packages that you would use to consume these resources and interact with them. The readme for each package contains code samples and package information. This readme can be found in the corresponding package folder under the folder of the service of your choice in the /SDK folder of this repository. The same readme file can be found on the landing page for the package in npm. The API reference documentation of the latest versions of these packages can be found at our public developer docs. The API reference documentation of older versions can be found in our versioned developer docs. -
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Cerebral
Declarative state and side effects management for popular JavaScript
Declarative state and side effects management for popular JavaScript frameworks. The entire Cerebral codebase has been rewritten to encourage contributions. The code is cleaned up, commented and all code is in a "monorepo". That means you can run tests across projects and general management of the code is simplified a lot. When you make a code change you should create a branch first. When the code is changed and backed up by a test you can commit it from the root. A declarative approach to application logic also allows us to build developer tools that builds the mental image of this complexity for you. It makes perfect sense for us to write our UIs with declarative code. The reason is that we need to reuse UI elements and compose them together in different configurations. UIs are complex. But what about our application logic? Applications are becoming more complex in nature as we push the boundaries of user experiences. -
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CloudQuery
The open-source cloud asset inventory powered by SQL
CloudQuery extracts, transforms and loads your cloud assets into normalized PostgreSQL tables. CloudQuery enables you to assess, audit, and monitor the configurations of your cloud assets. Use standard SQL to find any asset based on any configuration or relation to other assets. Connect CloudQuery standard PostgreSQL database to your favorite BI/Visualization tool such as Grafana, QuickSight, etc. Codify your security & compliance rules with SQL as the query engine. Integrate CloudQuery with your current visualization, monitoring, and alerting such as Grafana. CloudQuery supports the TimescaleDB PostgreSQL extension, giving you full historical snapshots of your cloud asset inventory. Data analysis, security, auditing, and compliance. Leverage SQL to get visibility into your cloud infrastructure and SaaS applications. Build a cloud-asset inventory across any of our supported official or community providers. -
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Firebase Apple Open Source Development
Firebase SDK for Apple App Development
This repository contains all Apple platform Firebase SDK source except FirebaseAnalytics. Firebase is an app development platform with tools to help you build, grow and monetize your app. More information about Firebase can be found on the official Firebase website. See the subsections below for details about the different installation methods. Where available, it's recommended to install any libraries with a Swift suffix to get the best experience when writing your app in Swift. Instructions for Swift Package Manager support can be found at SwiftPackageManager Markdown file. All of the official releases are tagged in this repo and available via CocoaPods. To access a local source snapshot or unreleased branch, use Podfile directives. CocoaPods is still the canonical way to develop, but much of the repo now supports development with Swift Package Manager. -
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Helm
The Kubernetes package manager
Helm is a tool that streamlines the installation and management of Kubernetes applications. With Helm you can find and use popular software packaged as Helm Charts. Charts are Helm packages that define, install and upgrade just about any Kubernetes application. With Helm you can manage even the most complex Kubernetes apps. It’s easy to update and offers simple sharing options on public or private servers. -
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Material Kit - React
React Dashboard made with Material UI’s components
Free React Admin Dashboard made with MUI's components, React and of course Next.js to boost your app development process! React Dashboard made with Material UI’s components. Our pro template contains features like the TypeScript version, an authentication system with Firebase and Auth0 plus many others. Create secure, seamless user experiences with Zalter Passwordless Authentication. We also have a pro version of this product which bundles even more pages and components if you want to save more time and design efforts. -
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Middy
The stylish Node.js middleware engine for AWS Lambda
Middy is a very simple middleware engine that allows you to simplify your AWS Lambda code when using Node.js. If you have used web frameworks like Express, then you will be familiar with the concepts adopted in Middy and you will be able to get started very quickly. A middleware engine allows you to focus on the strict business logic of your Lambda and then attach additional common elements like authentication, authorization, validation, serialization, etc. in a modular and reusable way by decorating the main business logic. One of the main strengths of serverless and AWS Lambda is that, from a developer perspective, your focus is mostly shifted toward implementing business logic. Anyway, when you are writing a handler, you still have to deal with some common technical concerns outside business logic, like input parsing and validation, output serialization, error handling, etc. -
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NATS Go Client
Golang client for NATS, the cloud native messaging system
With flexible deployment models using clusters, superclusters, and leaf nodes, optimize communications for your unique deployment. The NATS Adaptive Edge Architecture allows for a perfect fit for unique needs to connect devices, edge, cloud or hybrid deployments. With true multi-tenancy, securely isolate and share your data to fully meet your business needs, mitigating risk and achieving faster time to value. Security is bifurcated from topology, so you can connect anywhere in deployment and NATS will do the right thing. With the ability to process millions of messages a second per server, you’ll find unparalleled efficiency with NATS. Save money by minimizing cloud costs with reduced compute and network usage for streams, services, and eventing. NATS self-heals and can scale up, down, or handle topology changes anytime with zero downtime to your system. Clients require zero awareness of NATS topology allowing you future proof your system to meet your needs of today and tomorrow. -
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Prowler
An open source security tool to perform AWS security assessment
Prowler is an Open Source security tool to perform AWS security best practices assessments, audits, incident response, continuous monitoring, hardening, and forensics readiness. It contains more than 200 controls covering CIS, PCI-DSS, ISO27001, GDPR, HIPAA, FFIEC, SOC2, AWS FTR, ENS and custom security frameworks. Prowler is a command-line tool that helps you with AWS security assessment, auditing, hardening, and incident response. It follows guidelines of the CIS Amazon Web Services Foundations Benchmark (49 checks) and has more than 100 additional checks related to GDPR, HIPAA, PCI-DSS, ISO-27001, FFIEC, SOC2, and others. +200 checks covering security best practices across all AWS regions and most AWS services. Get a direct colorful or monochrome report. Get an HTML, CSV, JUNIT, JSON, or JSON ASFF (Security Hub) format report. -
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Pulumi
Developer-first infrastructure as code. Your cloud, your language
Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services, and infrastructure, on any cloud. Simply write code in your favorite language and Pulumi automatically provisions and manages your AWS, Azure, Google Cloud Platform, and/or Kubernetes resources, using an infrastructure-as-code approach. Skip the YAML, and use standard language features like loops, functions, classes, and package management that you already know and love. Pulumi is open source under the Apache 2.0 license, supports many languages and clouds, and is easy to extend. This repo contains the pulumi CLI, language SDKs, and core Pulumi engine, and individual libraries are in their own repos. Walk through end-to-end workflows for creating containers, serverless functions, and other cloud services and infrastructure. -
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Render Farm Deployment Kit on AWS (RFDK)
Library for use with the AWS Cloud Development Kit
The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. The RFDK is built to operate with the AWS Cloud Development Kit (CDK) and provides a library of classes, called constructs, that each deploy and configure a component of your cloud-based render farm. The current version of the RFDK supports render farms built using AWS Thinkbox Deadline render management software, and provides the ability for you to easily go from nothing to a production-ready render farm in the cloud. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
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Spring Cloud Config Server
External configuration (server and client) for Spring Cloud
Spring Cloud Config provides server-side and client-side support for externalized configuration in a distributed system. With the Config Server, you have a central place to manage external properties for applications across all environments. The concepts on both client and server map identically to the Spring Environment and PropertySource abstractions, so they fit very well with Spring applications but can be used with any application running in any language. As an application moves through the deployment pipeline from dev to test and into production, you can manage the configuration between those environments and be certain that applications have everything they need to run when they migrate. The default implementation of the server storage backend uses git, so it easily supports labelled versions of configuration environments as well as being accessible to a wide range of tooling for managing the content. It is easy to add alternative implementations. -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.
