Search Results for "deploy" - Page 5
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Showing 158 open source projects for "deploy"
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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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Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Litemall
litemall = Spring Boot
...Litemall supports common e-commerce features such as product catalog, order processing, payment integration, user management, and statistical analysis, making it easy to customize and deploy a standalone online store. -
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HyperGAN
Composable GAN framework with api and user interface
A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with... -
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MMdnn
Tools to help users inter-operate among deep learning frameworks
...The "MM" stands for model management, and "dnn" is the acronym of deep neural network. We implement a universal converter to convert DL models between frameworks, which means you can train a model with one framework and deploy it with another. During the model conversion, we generate some code snippets to simplify later retraining or inference. We provide a model collection to help you find some popular models. We provide a model visualizer to display the network architecture more intuitively. We provide some guidelines to help you deploy DL models to another hardware platform. -
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PoshBot
Powershell-based bot framework
...PoshBot currently supports connecting to Slack to provide you with awesome ChatOps goodness. PoshBot executes functions or cmdlets from PowerShell modules. Use PoshBot to connect to servers and report status, deploy code, execute runbooks, query APIs, etc. If you can write it in PowerShell, PoshBot can execute it. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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Zappa
Serverless Python
Zappa makes it super easy to build and deploy serverless, event-driven Python applications (including, but not limited to, WSGI web apps) on AWS Lambda + API Gateway. Think of it as "serverless" web hosting for your Python apps. That means infinite scaling, zero downtime, zero maintenance - and at a fraction of the cost of your current deployments! With a traditional HTTP server, the server is online 24/7, processing requests one by one as they come in. -
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...It supports Linux, Mac OS X, Windows, Android and iOS operating systems. A Java JNI interface is available as well as a Javascript version of the library. A Web API has also been designed, allowing to deploy the engine as a Web service.
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Ethlint
(Formerly Solium) Code quality & Security Linter for Solidity
Ethlint (Formerly Solium) analyzes your Solidity code for style & security issues and fixes them. Standardize Smart Contract practices across your organization. Integrate with your build system. Deploy with confidence! Solium does not strictly follow Solidity Style Guide. The practices it enforces by default are best practices for the community at large. If you’re using vim with syntastic, and prefer to use a locally installed version of Solium (rather than a global version), you can install syntastic local solium to automatically load the local version in packages that have installed their own. ... -
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WALKOFF
A flexible, easy to use, automation framework
...Act faster with WALKOFF by integrating the capabilities you already own to dynamically respond on your terms to your fast-moving environment. Drag and drop workflow editor. Sharable apps and workflows. Deploy on Windows or Linux. Python 2.7 and 3.4+. Scale to your needs. Plug-and-play integration of almost anything with easy-to-develop apps. Send workflow data to custom visual interfaces to act with confidence. Harness the power of automation on your terms. An active community is essential for our success. Help us to develop and promote a common integration format that would enable the seamless deployment of WALKOFF apps across participating platforms. -
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The Moqui Ecosystem is a series of open source components for enterprise applications all built on a common framework (Moqui Framework) written in Java and Groovy. The components include tools that plug in to the framework, business artifacts, and applications. Some of the popular tool plug ins include ElasticSearch, Apache FOP, Apache Camel, OrientDB, and Hazelcast. The business artifacts later includes a universal data model (mantle-udm), service library (mantle-usl), reusable...
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Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Syncd
syncd is an open source code deployment tool
...Web interface access, interactive and friendly. The permission model is flexible and free. Support for custom builds. Support for Git repositories. Support branch, Tag online. Deploy Hook support, strong scalability. Perfect launch workflow. Email notification mechanism. -
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Rasa Core
Rasa Core is now part of the Rasa repo
Rasa is an open source machine learning framework to automate text and voice-based conversations. With Rasa, you can build contextual assistants. Rasa helps you build contextual assistants capable of having layered conversations with lots of back-and-forth. In order for a human to have a meaningful exchange with a contextual assistant, the assistant needs to be able to use context to build on things that were previously discussed – Rasa enables you to build assistants that can do this in a... -
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Wally
Distributed Stream Processing
...Take care of the complexities of distributed computing "plumbing," allowing developers to focus on their business logic. Provide high-performance & low-latency data processing. Be portable and deploy easily (i.e., run on-prem or any cloud). Manage in-memory state for the application. Allow applications to scale as needed, even when they are live and up-and-running. The primary API for Wally is written in Pony. Wally applications are written using this Pony API. -
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node-js-getting-started
Getting Started with Node on Heroku
A barebones Node.js app using Express 4. This application supports the Getting Started on Heroku with Node.js article. Make sure you have Node.js and the Heroku CLI installed. For more information about using Node.js on Heroku, see these Dev Center articles. When you create an app, a git remote (called heroku) is also created and associated with your local git repository. Heroku generates a random name (in this case sharp-rain-871) for your app, or you can pass a parameter to specify your... -
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Bowtie
Create a dashboard with python!
...Bowtie helps you visualize your data interactively. No Javascript required, you build your dashboard in pure Python. Easy to deploy so you can share results with others. Ships with many useful widgets including charts, tables, dropdown menus, sliders, and markdown. All widgets come equipped with events and commands for interaction. Compiles a single Javascript bundle speeding up load times and removes CDN dependencies. -
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Strapi JavaScript SDK
Official JavaScript SDK for APIs built with Strapi
...Easily customize the admin panel as well as the API. Extend your content management with custom plugins, in seconds. Extend the capabilities of Strapi with Strapi Cloud, our fully managed platform or deploy on-premises, on your favorite public cloud or the PaaS of your choice. You’re in control, no lock-in. Connect your favorite databases, frontend frameworks, or static site generators. Choose where you want to host your websites. Integrate with your favorite tools, and work with the best of each world. No vendor lock-in. -
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ChunJun
A data integration framework
ChunJun is a distributed integration framework, and currently is based on Apache Flink. It was initially known as FlinkX and renamed ChunJun on February 22, 2022. It can realize data synchronization and calculation between various heterogeneous data sources. ChunJun has been deployed and running stably in thousands of companies so far. Based on the real-time computing engine--Flink, and supports JSON template and SQL script configuration tasks. The SQL script is compatible with Flink SQL... -
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SQUEEZER
Squeezer framework, build serverless dApps
...Bi-directional on-chain transactions (inbound and outbound). Build dApps connecting to smart contracts using chain kit agnostic connector. Quick intuitive code deployments by using a special mechanism that will deploy smart contracts and dApp services where code changed. Silent deployments, no interruption for the current functionality (really useful on production). One single command to simultaneously deploy all available functions on your project where code changed from the last deployment. Test your code locally on a simulated functions platform for a faster development cycle. -
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Caffe Framework
Caffe, a fast open framework for deep learning
...Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without hard-coding. Switch between CPU and GPU by setting a single flag to train on a GPU machine then deploy to commodity clusters or mobile devices. Extensible code fosters active development. In Caffe’s first year, it has been forked by over 1,000 developers and had many significant changes contributed back. Thanks to these contributors the framework tracks the state-of-the-art in both code and models. -
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Intel neon
Intel® Nervana™ reference deep learning framework
neon is Intel's reference deep learning framework committed to best performance on all hardware. Designed for ease of use and extensibility. See the new features in our latest release. We want to highlight that neon v2.0.0+ has been optimized for much better performance on CPUs by enabling Intel Math Kernel Library (MKL). The DNN (Deep Neural Networks) component of MKL that is used by neon is provided free of charge and downloaded automatically as part of the neon installation. The gpu... -
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Graphcool Framework
Graphcool is an open-source backend development framework
...Graphcool separates the business logic from stateful storage components, allowing the stateful parts (database, subscription engine) to scale independently and giving flexibility in how you compose your system. Users could deploy Graphcool either locally (e.g. via Docker) or on a managed cloud offering. The framework also provided features like schema evolution, migrations, data loaders for performance, and built-in tooling to manage endpoints and deployments. -
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HubCommander
A Slack bot for GitHub organization management, and other things too
...Typing the name of the command, for example, CreateRepo, will output help text on how to execute the command. Granting outside collaborators specific permissions to repositories. Repository default branch modification. Repository PR listing. Repository deploy Key listing/creation/deletion. Repository topics creation/deletion. Repository branch protection enabling/disabling. You can add additional commands by creating plugins. For example, you can create a plugin to invite users to your organizations. -
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PokemonGo-Bot
The Pokemon Go Bot, baking with community
PokemonGo-Bot is a project created by the PokemonGoF team. Since no public API available for now, a patch to use HASH-Server was applied. PokemonGoF is not part of HASH-Server dev team and has no connection with it. Based on Python for botting on any operating system - Windows, macOS and Linux. Multi-bot supported. Able to edit bot if certain level has reached. Allow custom hash service provider, if any. GPS Location configuration. Search & spin Pokestops / Gyms. Diverse options for... -
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Claudia Bot Builder
Create chat bots for Facebook Messenger, Slack, Amazon Alexa, etc.
...Claudia Bot Builder doesn't have a stand-alone http server in the background (such as Express, Hapi, etc.), instead it uses API Gateway and it's not trivial to simulate similar environment locally. Deploy it with --version test to create a separate test environment directly in AWS Lambda. -
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Kitto
Kitto is a framework for interactive dashboards written in Elixir
...Widgets are coded in the popular React library. Uses a modern asset tool-chain, Webpack. Allows streaming SSE to numerous clients concurrently with low memory/CPU footprint. Easy to deploy using the provided Docker images, Heroku (guide) or Distillery (guide). Can serve assets in production. Keeps stats about defined jobs and comes with a dashboard to monitor them (demo). Can apply exponential back-offs to failing jobs. Reloads code upon change in development. Kitto is a framework to help you create dashboards, written in Elixir / React. ... -
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Apache PredictionIO
Machine learning server for developers and ML engineers
Apache PredictionIO® is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management.
