Search Results for "docker" - Page 31
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Showing 1135 open source projects for "docker"
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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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Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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EvoBot
EvoBot is a Discord Music Bot built with TypeScript + Discord.js
EvoBot is a Discord Music Bot built with TypeScript + Discord.js, includes Docker builds & localization in 20+ languages. After installation finishes follow the configuration instructions then run npm run start to start the bot. For those who would prefer to use our Docker container, you may provide values from config.json as environment variables. -
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LLocalSearch
LLocalSearch is a completely locally running search aggregator
LLocalSearch is an open-source search engine framework designed to run entirely on local infrastructure using large language model agents to gather and synthesize information from the web. The system allows users to submit natural language questions, after which a chain of LLM-driven agents recursively searches for relevant information and compiles a response. Unlike many AI search tools, LLocalSearch operates without requiring external cloud APIs or proprietary services, making it suitable... -
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PoshC2
C2 framework used to aid red teamers with post-exploitation
PoshC2 is a proxy-aware C2 framework used to aid penetration testers with red teaming, post-exploitation and lateral movement. PoshC2 is primarily written in Python3 and follows a modular format to enable users to add their own modules and tools, allowing an extendible and flexible C2 framework. Out-of-the-box PoshC2 comes PowerShell/C# and Python2/Python3 implants with payloads written in PowerShell v2 and v4, C++ and C# source code, a variety of executables, DLLs and raw shellcode in... -
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local-llm
Run LLMs locally on Cloud Workstations
...It focuses on making generative AI development more accessible by leveraging quantized models and CPU-based execution, eliminating the dependency on expensive GPU infrastructure. The repository includes tools, Docker configurations, and command-line utilities that simplify the process of downloading, running, and interacting with language models directly on local or cloud-based workstations. This approach improves data privacy and control, as all inference can be performed locally without sending sensitive information to external APIs. It also integrates seamlessly with Google Cloud services, allowing developers to build and test AI-powered applications within the broader cloud ecosystem. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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OpenWhisk
Apache OpenWhisk is an open source serverless cloud platform
Apache OpenWhisk is an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. OpenWhisk manages the infrastructure, servers and scaling using Docker containers so you can focus on building amazing and efficient applications. The OpenWhisk platform supports a programming model in which developers write functional logic (called Actions), in any supported programming language, that can be dynamically scheduled and run in response to associated events (via Triggers) from external sources (Feeds) or from HTTP requests. ... -
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Xfl
An Efficient and Easy-to-use Federated Learning Framework
XFL is a lightweight, high-performance federated learning framework supporting both horizontal and vertical FL. It integrates homomorphic encryption, DP, secure MPC, and optimizes network resilience. Compatible with major ML libraries and deployable via Docker or Conda. -
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dive-to-gosync-workshop
In-depth Go concurrent programming seminar
...It focuses on the practical traps that appear when using Go’s concurrency primitives in real projects. The material discusses how even experienced teams working on large systems such as Docker, Kubernetes, gRPC, and etcd can run into subtle synchronization problems. It covers the implementation details, limitations, misuse patterns, and extension ideas behind standard synchronization tools. The workshop also expands into atomic operations, lock-free thinking, distributed synchronization, channel patterns, and the Go memory model. ... -
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Docker Bench For Security
A script that checks for dozens of common best-practices around Docker
The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production. The tests are all automated, and are based on the CIS Docker Benchmark v1.3.1. We are making this available as an open-source utility so the Docker community can have an easy way to self-assess their hosts and docker containers against this benchmark. -
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mall-swarm
Microservices edition of the mall e-commerce system
mall-swarm is the microservices edition of the mall e-commerce system, designed to illustrate how an enterprise-scale e-commerce backend can be built using Spring Cloud Alibaba, Spring Boot 3.x, Sa-Token (authentication), MyBatis, Elasticsearch, Docker and Kubernetes. It includes modules for gateway, auth, search, portal, admin, monitoring, config, registry, and more, and integrates a Vue-based management frontend. The repository is structured to show how cross-service concerns like service registry, configuration center, monitoring, distributed transactions, API gateway and messaging are done in microservice architecture. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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web3.php
A php interface for interacting with the Ethereum blockchain
...Assign a value to outside scope(from callback scope to outside scope) Due to the callback is not like a javascript callback, if we need to assign value to outside scope, we need to assign a reference to the callback. If you are using docker as a development machine, you can try ethdock to run local Ethereum blockchain, just simply run docker-compose up -d testrpc and expose the 8545 port. -
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Mall
Java-based e-commerce system with backend and frontend modules
The mall project is a comprehensive, full-featured e-commerce platform developed in Java, offering modules for product management, orders, users, promotions, and administration. Built with Spring Boot, MyBatis, and Vue.js, it provides a complete solution for developers looking to build or learn from a production-ready online shopping platform. It supports high scalability and clean architectural design suitable for enterprise-grade applications. -
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SageMaker Spark
A Spark library for Amazon SageMaker
...With SageMaker Spark, you can train on Amazon SageMaker from Spark DataFrames using Amazon-provided ML algorithms like K-Means clustering or XGBoost, and make predictions on DataFrames against SageMaker endpoints hosting your trained models, and, if you have your own ML algorithms built into SageMaker compatible Docker containers, you can use SageMaker Spark to train and infer on DataFrames with your own algorithms -- all at Spark scale. SageMaker Spark depends on hadoop-aws-2.8.1. To run Spark applications that depend on SageMaker Spark, you need to build Spark with Hadoop 2.8. However, if you are running Spark applications on EMR, you can use Spark built with Hadoop 2.7. -
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Web3Press WordPress Plugin
The WordPress plugin to integrate LikeCoin
Integrates Liker ID functionality into your own WordPress site. The suggested way of development environment is docker based. This guide will assume you have Docker Community Edition 18+ installed. Auto rebuild script in dev mode. Only one javascript component can be run at a time. -
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IntegreSQL
IntegreSQL manages isolated PostgreSQL databases for your integration
IntegreSQL is a PostgreSQL clone provisioning tool that helps with testing by instantly spinning up database copies from a base template. It’s designed for integration tests where speed and data isolation are critical. IntegreSQL eliminates setup time and ensures a consistent database state across test runs. -
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Textinator
Internationalized highly customizable annotation and evaluation tool
...The tool offers a web interface with a user-friendly UI and supports a number of NLP tasks out of the box. The recommended way of deploying Textinator is through building a production version of the Docker container, as described in the Deployment guidelines. Note that the production version is most definitely more secure and reliable than the development version. However, it's not extremely scalable and hosts both database and Textinator instances on the same machine. The ultimate solution would be to use something like Kubernetes, but it is currently not supported out of the box. -
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SageMaker TensorFlow
SageMaker specific extensions to TensorFlow
This package contains SageMaker-specific extensions to TensorFlow, including the PipeModeDataset class, that allows SageMaker Pipe Mode channels to be read using TensorFlow Datasets. This package supports Python 3.7-3.9 and TensorFlow versions 1.7 and higher, including 2.0-2.9.1. For TensorFlow 1.x support, see the master branch. sagemaker-tensorflow releases for all supported versions are available on PyPI. SageMaker TensorFlow extensions builds on Python 3.4-3.9 in Linux with a TensorFlow... -
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Proxy_Pool
Python crawler proxy IP pool (proxy pool)
The main function of the crawler agent IP pool project is to regularly collect free agents published on the Internet for verification and storage, and to regularly verify and store agents to ensure the availability of agents, and to provide API and CLI. At the same time, you can also expand the proxy source to increase the quality and quantity of the proxy pool IP. -
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EmotiVoice
Multi-Voice and Prompt-Controlled TTS Engine
...The core idea is prompt-based emotional and style control: you can ask the engine to speak “happy,” “sad,” “excited,” or with other high-level style prompts that shape prosody, pitch, speed, and energy. EmotiVoice provides multiple ways to interact with it, including a web interface, a Docker image, an HTTP API (including an OpenAI-compatible TTS API), and Python scripts for batch synthesis. It also supports voice cloning with your own data, backed by recipes for popular datasets like DataBaker and LJSpeech, so you can train or adapt voices to custom personas. -
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Financial Freedom
An open source alternative to Mint, YNAB, and more
...With open source at its core, you have the freedom to review exactly what's happening with your data and participate in the improvement of the product. Break free from third parties tracking every financial footstep you have. Run this application on any device or host that supports Docker -- if that's something like AWS, Digital Ocean, or even your own Raspberry Pi running in your basement. -
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MMDeploy
OpenMMLab Model Deployment Framework
MMDeploy is an open-source deep learning model deployment toolset. It is a part of the OpenMMLab project. Models can be exported and run in several backends, and more will be compatible. All kinds of modules in the SDK can be extended, such as Transform for image processing, Net for Neural Network inference, Module for postprocessing and so on. Install and build your target backend. ONNX Runtime is a cross-platform inference and training accelerator compatible with many popular ML/DNN... -
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Formbricks
Open Source Survey Software
Formbricks is a privacy-first Experience Management suite built on the fastest growing open source survey software platform worldwide. Turn customer insights into irresistible experiences with Formbricks. -
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docker-compose-wait
A simple script to wait for other docker images to be started
A small command-line utility to wait for other docker images to be started while using docker-compose (or Kubernetes or docker stack or whatever). This utility should be used in the docker build process and launched before your application starts. Your application "MySuperApp" uses MongoDB, Postgres and MySql and you want to be sure that, when it starts, all other systems are available. -
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Watchtower
A process for automating Docker container base image updates
With watchtower you can update the running version of your containerized app simply by pushing a new image to the Docker Hub or your own image registry. Watchtower will pull down your new image, gracefully shut down your existing container and restart it with the same options that were used when it was deployed initially. Watchtower is an application that will monitor your running Docker containers and watch for changes to the images that those containers were originally started from. ... -
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transfer.sh
Easy and fast file sharing from the command-line
...Transfer.sh currently supports the s3 (Amazon S3), gdrive (Google Drive), storj (Storj) providers, and local file system (local). For easy deployment, we've created a Docker container. For the usage with a AWS S3 Bucket, you just need to specify the following options, provider, aws-access-key, aws-secret-key, bucket, and s3-region. If you specify the s3-region, you don't need to set the endpoint URL since the correct endpoint will used automatically. To use a custom non-AWS S3 provider, you need to specify the endpoint as defined from your cloud provider. ... -
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SageMaker Inference Toolkit
Serve machine learning models within a Docker container
Serve machine learning models within a Docker container using Amazon SageMaker. Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows. You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. Once you have a trained model, you can include it in a Docker container that runs your inference code.