Open Source Cloud Services Software - Page 7
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Free and Open Source HR SoftwareGive your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
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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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Mist Cloud Management Platform
Mist is an open source, multicloud management platform
Mist CE is an open-source multi-cloud management platform, offering unified control and monitoring for hybrid and multi-cloud environments. -
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NativeScript Firebase plugin
NativeScript plugin for Firebase
Firebase is an app development platform that helps you build and grow apps and games users love. Backed by Google and trusted by millions of businesses around the world. Install pre-packaged, open-source bundles of code to automate common development tasks. Firebase projects are backed by Google Cloud, letting you scale your app to billions of users. Use Firebase products together to solve complex challenges and optimize your app experience. Personalize your onboarding flow, grow user engagement, or add new functionality with Firebase. If you choose to save your config during the installation, the supported options may be saved in the firebase.nativescript.json at the root of your app. This is to ensure your app may roundtrip source control and installation on CI won't prompt for user input during installation. Because of the specifics of the angular bootstrap it is best to initalize firebase once the angular application is running. -
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ObjectBox
Flutter database for super-fast Dart object persistence
ObjectBox Flutter database is a great option for storing Dart objects in your cross-platform apps. Minimal CPU, memory and battery use make it an ideal choice for mobile and IoT devices. Made for efficient data access, the ObjectBox Flutter database is 10x faster than any alternative. See the performance benchmarks below. No need to learn SQL, as our NoSQL database uses a pure Dart API that is easy to work with and can be integrated in minutes. Plus: We built a data synchronization solution that allows you to choose which objects to sync when and keep data easily and efficiently in sync across devices. Improving response rates and enabling real-time applications. Atomic, Consistent, Isolated, Durable. Grows with your app, handling millions of objects with ease. Object links/relationships are built-in. Filter data as needed, even across relations. Compile time checks & optimizations. -
Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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Offline First Database Comparison
An implementation of the exact same app in Firestore, AWS Datastore
In this project I have implemented the exact same chat application with different database technologies. You can use it to compare metrics and learn about the differences. The chat app is a web-based angular application, with functionality similar to Whatsapp Web. All metrics are measured automatically via code in a browser test (chrome:headless). The results heavily depend on the developer's device. You should compare the values relative to one another and not as absolute values. Also, you might want to create new metrics that better represent how you would use the respective database. WatermelonDB and the RxDB-LokiJS project use the LokiJS database as storage, which is an in memory database that regularly persists the data to IndexedDB either on interval, or when the browser tab is closed. By doing so, less slow IndexedDB transaction are used. Keeping and processing the data in memory has the benefit of being much faster. -
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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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Openclassify
OpenClassify is advanced open source laravel classified marketplace
Classified Script - OpenClassify is modular and most advanced open source classified platform build with Laravel. open source classifieds & marketplace script platform -
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Plum Cave
A cloud backup solution that employs advanced cryptography
A cloud backup solution that employs the "ChaCha20 + Serpent-256 CBC + HMAC-SHA3-512" authenticated encryption scheme for data encryption and ML-KEM-1024 for quantum-resistant key exchange. Check it out at https://plum-cave.netlify.app/ GitHub page: https://github.com/Northstrix/plum-cave -
The Better CRMThe Pipeliner CRM experience is so different from traditional CRM which is why we drive the highest adoption rates, lower Total Cost of Ownership, and rapid Return On Investment. Plus with fast onboarding and how easy it is to learn to use and/or administer the system, there is little to no business interruption when deploying.
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Plum Cave Twofish
A version of Plum Cave that uses the ChaCha20 and Twofish ciphers
A version of Plum Cave that employs the "ChaCha20 + Twofish-256 CBC + HMAC-SHA3-512" authenticated encryption scheme for data encryption and ML-KEM-1024 for quantum-resistant key exchange. -
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Porter
Kubernetes powered PaaS that runs in your own cloud
Porter is a fully-managed PaaS that lets teams automate DevOps. Deploy and manage apps within AWS, GCP, DO, and more. Porter manages and scales services in your existing cloud so you can focus on building products. Deploy in seconds from a Git repo or Docker registry. Porter simplifies service management while still offering the flexibility of a fully-featured DevOps platform when you need it. Use your existing AWS, GCP, or DO cloud as a hosting backend. They host your apps, Porter manages them. Automate your cloud management and focus on what matters. A traditional PaaS like Heroku is great for minimizing unnecessary DevOps work but doesn't offer enough flexibility as your applications grow. Custom network rules, resource constraints, and cost are common reasons developers move their applications off Heroku beyond a certain scale. Porter brings the simplicity of a traditional PaaS to your own cloud provider while preserving the configurability of Kubernetes. -
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PyFCM
Python client for FCM - Firebase Cloud Messaging
Python client for FCM - Firebase Cloud Messaging (Android, iOS and Web) Firebase Cloud Messaging (FCM) is the new version of GCM. It inherits the reliable and scalable GCM infrastructure, plus new features. GCM users are strongly recommended to upgrade to FCM. Using FCM, you can notify a client app that new email or other data is available to sync. You can send notifications to drive user reengagement and retention. For use cases such as instant messaging, a message can transfer a payload of up to 4KB to a client app. -
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Quick Chat for iOS
Real time chat app written in Swift 5 using Firebase
Real-time chat app written in Swift 5 using Firebase. Quick Chat allows to send and receive text messages, photos & location. Quick Chat for iOS is compatible with iOS 13.0+. This project is written in Swift 5.0 and requires Xcode 11.0 to build and run. Download the "GoogleService-Info.plist" file and add to the project. Make sure file name is "GoogleService-Info.plist". Go to Firebase Console, select your project, choose "Authentication" from left menu, select "SIGN-IN METHOD" and enable "Email/Password" option. Open the terminal, navigate to project folder, and run "pod install". You're all set! Run Quick Chat on your iPhone or the iOS Simulator. -
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RMUIF
Supercharged version of Create React App with all the bells
Supercharged version of Create React App with all the bells and whistles. Bootstrapped with Create React App. Google’s Material Design through Material-UI. Firebase back-end with most of their products for the web included, e.g., Authentication and Cloud Firestore. Routing with React Router, including protected routes and error handling. Extensive and well-tested mobile support with full-screen dialogs and swipeable tabs. Cross-platform application monitoring with Sentry. -
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React Firebase Hooks
React Hooks for Firebase
React Hooks for Firebase. A set of reusable React Hooks for Firebase. A set of reusable React Hooks for Firebase. React Firebase Hooks v4 requires React 16.8.0 or later and Firebase v9.0.0 or later. Whilst previous versions of React Firebase Hooks had some support for React Native Firebase, the underlying changes to v9 of the Firebase Web library have meant this is no longer as straightforward. We will investigate if this is possible in another way as part of a future release. This library explores how React Hooks can work to make integration with Firebase even more straightforward than it already is. It takes inspiration for naming from RxFire and is based on an internal library that we had been using in a number of apps prior to the release of React Hooks. The implementation with hooks is 10x simpler than our previous implementation. -
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React Most Wanted
React starter kit with "Most Wanted" application features
React Most Wanted is a set of starter kits, tools, features, and best practices that you can choose from and use around your React projects. Choose from 3 different starter kits. From a basic one to a full-featured application. You start easy like with every other template but you can also update the template parts over time. And with the updates you don't only update the components but also get new features and bug fixes. Every template is a collection of very carefully picked packages and projects. Only the creme de la creme of the react ecosystem. MPA (Multi Page Application) ready. A Large codebase can be split into separate bundles that load different parts of the application, lazy-loading the different bundles on demand. Use Firebase's platform as a backend and database, with a sync between Firebase and the app state. -
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ReactFire
Hooks, Context Providers, and Components
Hooks, Context Providers, and Components that make it easy to interact with Firebase. Easy realtime updates for your function components - Hooks like useUserand useFirestoreCollection let you easily subscribe to auth state, realtime data, and all other Firebase SDK events. Plus, they automatically unsubscribe when your component unmounts. Access Firebase libraries from any component - Need the Firestore SDK? useFirestore. Remote Config? useRemoteConfig. Safely configure Firebase libraries - Libraries like Firestore and Remote Config require settings like enablePersistence to be set before any data fetches are made. This can be tough to support in React's world of re-renders. ReactFire gives you useInitFirestore and useInitRemoteConfig hooks that guarantee they're set before anything else. -
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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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Right Consents Community
Open and extensible platform to manage consents and preferences
Right Consents is a Consent and Preference Management Platform which leverage consent to another scope than cookies, where consent based processing implies conformity, like receipt preservation and consent dissemination to third-part software or company. More information at https://right-consents.fairandsmart.io/ -
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Rocketeer
Send your projects up in the clouds
Rocketeer is a modern PHP task runner and deployment package. It is inspired by the Laravel Framework philosophy and thus aims to be fast, elegant, and more importantly easy to use. Like the latter, emphasis is put on smart defaults and modern development. While it is coded in PHP, it can deploy any project from small HTML/CSS websites to large Rails applications. Versatile, support for multiple connections, multiserver connections, multiple stages per server, etc. Fast, queue tasks and run them in parallel across all your servers and stages. Modulable, not only can you add custom tasks and components, every core part of Rocketeer can be hot swapped, extended, hacked to bits, etc. Preconfigured, tired of defining the same routines again and again ? Rocketeer is made for modern development and comes with smart defaults and built-in tasks such as installing your application's dependencies. -
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Rusoto
AWS SDK for Rust
Rusoto is an AWS SDK for Rust. Rusoto is available on crates.io. To use Rusoto in your Rust program built with Cargo, add it as a dependency and rusoto_$SERVICENAME for any supported AWS service you want to use. Rusoto has a crate for each AWS service, containing Rust types for that service's API. A full list of these services can be found here. All other public types are reexported to the crate root. Consult the rustdoc documentation for full details by running cargo doc or visiting the online documentation for the latest crates.io release. For more information on Rusoto's use of AWS credentials such as priority and refreshing, see AWS Credentials. Rusoto complies with semantic versioning 2.0.0. Until reaching 1.0.0 the API is to be considered unstable. See Cargo.toml or rusoto on crates.io for current version. Rusoto's primary aim is to be used with AWS. Other projects that provide AWS-like APIs, such as Ceph, Minio, Yandex Object Storage, etc. are not a focus at this time. -
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S3 Email
A serverless email server on AWS using S3 and SES
This solution is free for anyone to use and learn from. If you’d like to see more projects like this one, consider using some of our products from the AWS Marketplace or share them with someone you might think would be interested in using them. This stack was created out of frustration due to the fact that to this day there's no easy way to have a full email server without the overhead of installing and configuring all servers needed to handle incoming and outgoing messages. We wanted something simple, with no interface and no server management, so we came up with S3-Email. This included AWS SES as our email server (receive and send) and S3 as our database and interface. Then we tied everything together with a bit of code via AWS Lambda. The result is an unmanaged email server with unlimited email addresses that also offers the benefit of easily organizing messages by adding the + character to the email names. The + is converted to a /, which correlates to an object path in S3. -
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SEO Tool
Seo Tool: AI Autoblogger for ArtikelSchreiber.com and UNAIQUE.net
Seo Tool: AI Autoblogger for https://www.artikelschreiber.com/ and https://www.unaique.net/ Function: Create Mini site based on Config File on your server https://linktr.ee/textgenerator Use a Shared Hosting Server Change the "seo-marketing-tool.conf" config to fit your needs (eg: Create a Mini Site about "Cars" then change the AI Software API Keywords to "car") Start the Tool "python3 seo-marketing-tool.py" Your mini site will be created on your Shared Hosting Server HTML5 Templates are included to create Mini Site on the fly - Please keep my links to artikelschreiber.com, unaique.net, unaique.com left intact on the templates. https://www.artikelschreiber.com/en/ https://www.unaique.net/en/ https://www.unaique.com/ https://www.artikelschreiber.com/opensource/ https://seo-tool.sourceforge.io/ https://inkassos.github.io/inkasso/ https://muckrack.com/markus-muller -
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Security Monkey
Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs
Security Monkey monitors AWS, GCP, OpenStack, and GitHub orgs for assets and their changes over time. Security Monkey monitors your AWS and GCP accounts for policy changes and alerts on insecure configurations. Support is available for OpenStack public and private clouds. Security Monkey can also watch and monitor your GitHub organizations, teams, and repositories. It provides a single UI to browse and search through all of your accounts, regions, and cloud services. The monkey remembers previous states and can show you exactly what changed, and when. Security Monkey can be extended with custom account types, custom watchers, custom auditors, and custom alerters. It works on CPython 2.7. It is known to work on Ubuntu Linux and OS X. Security Monkey accesses accounts to scan via credentials it is provided. -
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Seldon Server
Machine learning platform and recommendation engine on Kubernetes
Seldon Server is a machine learning platform and recommendation engine built on Kubernetes. Seldon reduces time-to-value so models can get to work faster. Scale with confidence and minimize risk through interpretable results and transparent model performance. Seldon Core focuses purely on deploying a wide range of ML models on Kubernetes, allowing complex runtime serving graphs to be managed in production. Seldon Core is a progression of the goals of the Seldon-Server project but also a more restricted focus to solving the final step in a machine learning project which is serving models in production. Seldon Server is a machine learning platform that helps your data science team deploy models into production. It provides an open-source data science stack that runs within a Kubernetes Cluster. You can use Seldon to deploy machine learning and deep learning models into production on-premise or in the cloud (e.g. GCP, AWS, Azure).
