Search Results for "process" - Page 28
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Showing 4500 open source projects for "process"
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Breeze
Deploy a Production Ready Kubernetes Cluster with graphical interface
Deploy a Production Ready Kubernetes Cluster with a graphical interface. Project Breeze is an open source trusted solution that allows you to create Kubernetes clusters on your internal, secure, cloud network with the graphical user interface. As a cloud-native installer project, Breeze is listed in CNCF Cloud Native Interactive Landscape. Breeze combines all resources you need such as kubernetes components images, ansible playbooks for the deployment of kubernetes clusters into a single... -
2
inlets-operator
Get public TCP LoadBalancers for local Kubernetes clusters
...In other words, you get ingress to an otherwise internal service. The inlets-operator brings that same experience to your local Kubernetes cluster by provisioning a VM on the public cloud and running an inlets server process there. Within the cluster, it runs the inlets client as a Deployment, and once the two are connected, it updates the original service with the IP, just like a managed Kubernetes engine. -
3
Garden
Automation for Kubernetes development and testing
Automation for Kubernetes development and testing. Spin up production-like environments for development, testing, and CI on demand. Use the same configuration and workflows at every step of the process. Speed up your builds and test runs via shared result caching. Garden is a tool that combines rapid development, testing, and DevOps automation in one platform. It is designed for teams developing applications that run on Kubernetes and for DevOps Engineers writing infrastructure as code. This repository contains the source of Garden core along with its documentation and examples. -
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Dockle
Container Image Linter for Security
Container Image Linter for Security, Helping build the Best-Practice Docker Image, Easy to start. You can install dockle with the asdf version manager with this plugin, which automates the process of installing (and switching between) various versions of github release binaries. With asdf already installed, run commands to install dockle. You can scan your built image with Dockle in Travis CI/CircleCI. Though, you can ignore the specified target checkpoints by using .dockleignore file. Or, if you just want the results to display and not let the test fail for this, specify --exit-code to 0 in dockle command. -
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5
Air Go
Live reload for Go apps
When I get started with developing websites in Go and gin framework, it's a pity that gin lacks live-reloading function. In fact, I tried fresh and it seems not much flexible, so I intended to rewrite it in a better way. Air is yet another live-reloading command line utility for Go applications in development. Just air in your project root directory, leave it alone, and focus on your code. For less typing, you could add alias air='~/.air' to your .bashrc or .zshrc. You can pass arguments for... -
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django-prometheus
Export Django monitoring metrics for Prometheus.io
...This is safe to do on existing models (it does not require a migration). Note that the exported metrics are counters of creations, modifications and deletions done in the current process. They are not gauges of the number of objects in the model. -
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Amazon EC2 Instance Selector
A CLI tool and go library which recommends instance types
A CLI tool and go library which recommends instance types based on resource criteria like vcpus and memory. There are over 270 different instance types available on EC2 which can make the process of selecting appropriate instance types difficult. Instance Selector helps you select compatible instance types for your application to run on. The command-line interface can be passed resource criteria like vcpus, memory, network performance, and much more and then return the available, matching instance types. If you are using spot instances to save on costs, it is a best practice to use multiple instances types within your auto-scaling group (ASG) to ensure your application doesn't experience downtime due to one instance type being interrupted. ... -
8
ChatterBot
Machine learning, conversational dialog engine for creating chat bots
...This makes it easy for developers to create chat bots and automate conversations with users. For more details about the ideas and concepts behind ChatterBot see the process flow diagram. The language independent design of ChatterBot allows it to be trained to speak any language. Additionally, the machine-learning nature of ChatterBot allows an agent instance to improve it’s own knowledge of possible responses as it interacts with humans and other sources of informative data. An untrained instance of ChatterBot starts off with no knowledge of how to communicate. ... -
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Skills for coding agents
Skills for coding agents
...It is made for teams that want agents to perform better in planning, review, orchestration, validation, documentation discipline, and clear communication. Instead of acting like a heavy process framework, it lets teams install only the skills they need and adapt them to their project. The catalog includes tools for visual planning, visual PR recaps, agent audits, plan comparison, autonomous execution, model orchestration, usage-limit management, final status recaps, and documentation-first development. Installation is handled through an interactive CLI that can configure skills for multiple agent environments. ... -
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10
Ditto
The simplest self-building coding agent
...Users describe the app they want, and the system attempts to plan and create routes, templates, static assets, and supporting files. It uses an LLM loop with basic tools to automate part of the coding process. The project is intentionally lightweight and experimental, making it easier to understand than larger agentic coding platforms. Its modular structure separates generated Flask components into cleaner directories for routes, templates, and static files. It is best suited for prototyping, learning, and exploring how natural-language app generation can work in a small local project. -
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Train LLM From Scratch
A straightforward method for training your LLM
...It is based on the architecture described in Attention Is All You Need and is designed to make the training pipeline understandable rather than hidden behind a large framework. The repository walks through the process from downloading data to generating text with a trained model. It supports training smaller or larger models, including million- and billion-parameter configurations depending on available hardware. A major goal is accessibility, since the author frames it as possible to train models using a single GPU. It is most useful for learners, researchers, and developers who want practical exposure to LLM internals. -
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Xray Onekey
Xray Nginx-based VLESS + XTLS one-click installation script
Xray Onekey is a shell-based one-click installation script for deploying an Xray server using Nginx, VLESS, and XTLS-related configuration. It is intended for users who want a guided setup process rather than manually installing and configuring every dependency. The script prepares the server environment, works with a user-provided domain, configures Nginx, installs Xray components, and generates the required service configuration. The repository’s own notes warn that Nginx-fronted nested TLS can cause connection blocking and recommend a newer Reality-based approach in another project. ... -
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NVIDIA AI Blueprint
Suite of reference architectures for building GPU-accelerated vision
NVIDIA AI Blueprint is an AI blueprint for building GPU-accelerated video intelligence applications and vision agents. It combines accelerated vision microservices, vision language models, large language models, embeddings, and NVIDIA NIM microservices to process both stored and streaming video. The project is organized around real-time video intelligence, downstream analytics, and agentic offline processing. It supports workflows such as natural-language video search, visual question answering, long-video summarization, clip retrieval, verified alerts, and incident analysis. It is designed for technical users who need deployable reference architectures for smart spaces, warehouse automation, SOP validation, monitoring, and operational video analytics. ... -
14
workerpool
Offload tasks to a pool of workers on node.js and in the browser
workerpool is a JavaScript library that simplifies the creation and management of worker threads and process pools for parallel task execution in Node.js and browser environments. The project provides an abstraction layer that allows developers to offload CPU-intensive operations to background workers without manually handling thread communication or lifecycle management. It supports task queuing, dynamic worker scaling, timeouts, transferable objects, and proxy-based APIs for interacting with worker functions as if they were local calls. workerpool is designed to improve application responsiveness and throughput in workloads involving heavy computation, data processing, or asynchronous execution. ... -
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Alpamayo 1
Bridging Reasoning and Action Prediction
...The model is designed as a foundational component rather than a complete driving stack, allowing developers to build custom autonomous vehicle applications on top of it. It incorporates vision-language-action modeling, enabling it to process sensor data and contextual information simultaneously. Alpamayo supports tasks such as trajectory prediction, auto-labeling, and reasoning-based decision making. The system is optimized for high-performance GPU environments and is intended primarily for experimentation and benchmarking. Overall, it represents an advanced step toward integrating reasoning into autonomous driving pipelines. -
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Frame
Fast FFmpeg GUI
...It enables developers to work directly with individual frames from video streams, supporting tasks such as frame sampling, transformation, and analysis. The tool is structured to facilitate automation, allowing users to process frames in bulk or integrate frame-level operations into larger media pipelines. It supports multiple video formats and leverages FFmpeg for decoding and encoding operations. frame is particularly useful for applications such as computer vision preprocessing, video inspection, and content analysis. Its modular design allows customization of workflows and integration into different environments. ... -
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PyLivestream
Pure Python FFmpeg-based live video / audio streaming to YouTube
...PyLivestream is designed for reliability, handling streaming sessions with consistent performance across different environments. It is particularly useful for developers and researchers who need programmable access to live streaming capabilities. Overall, it simplifies the process of broadcasting live video using FFmpeg. -
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ffmpeg-android-maker
Contains a script that assembles FFmpeg library for Android
ffmpeg-android-maker is a build automation tool designed to compile FFmpeg for Android platforms with support for various codecs and libraries. It simplifies the complex process of cross-compiling FFmpeg by providing scripts that handle dependencies, configuration, and build steps. The project supports multiple architectures, enabling developers to generate binaries compatible with different Android devices. It includes options for enabling or disabling specific codecs and features, allowing tailored builds for specific use cases. ... -
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StreamPot
Run FFmpeg as an API with fluent-ffmpeg compatibility, queues and S3
StreamPot is a self-hosted video processing platform that provides scalable media transcoding and streaming capabilities through a modern API-driven architecture. It enables users to upload video content, process it into multiple formats, and deliver it efficiently across different devices and network conditions. The system supports adaptive bitrate streaming, allowing videos to be optimized dynamically based on viewer bandwidth. It integrates FFmpeg as its core processing engine, enabling advanced encoding and transformation workflows. ... -
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build-ffmpeg-script
The FFmpeg build script provides an easy way to build a static FFmpeg
...The script is particularly useful for developers and system administrators who need optimized FFmpeg builds tailored to specific workflows. Overall, it streamlines a complex build process into a single command-driven workflow. -
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GEO Content Writer
Backlog-row-first content production system for teams
...The tool is particularly useful for businesses targeting local markets or region-specific audiences. It integrates into broader SEO pipelines, allowing content generation to be part of a continuous optimization process. Overall, GEO Content Writer enables scalable, AI-driven content creation tailored for modern search ecosystems. -
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Elixir LangChain
Elixir implementation of a LangChain style framework
...It mirrors the architecture of traditional LangChain frameworks by providing abstractions for chains, tools, agents, and model integrations while adapting them to Elixir’s concurrency model. This makes it particularly well-suited for building scalable, real-time AI systems that benefit from Elixir’s fault tolerance and lightweight process management. The framework supports multiple providers and includes features such as streaming responses, tool calling, and structured outputs, allowing developers to create complex AI-driven workflows. -
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Polymarket Data
Polymarket Data Retriever that fetches, processes, and structures data
Polymarket Data is a comprehensive data engineering pipeline designed to collect, process, and structure trading activity from the Polymarket prediction market ecosystem into analyzable datasets. The system operates as a multi-stage pipeline that integrates data from both off-chain APIs and on-chain event sources, enabling users to reconstruct full trading activity including markets, order events, and executed trades. -
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OnchainKit
React components and TypeScript utilities
OnchainKit is a React-based toolkit developed by Coinbase that provides a collection of components and TypeScript utilities for building modern blockchain-enabled applications with a focus on usability and developer experience. It is designed to simplify the process of integrating onchain functionality such as wallet connections, transactions, and blockchain data interactions into web applications. The library follows a modular architecture within a monorepo structure, allowing developers to selectively use components and utilities that fit their specific needs. It includes prebuilt UI elements and hooks that streamline common Web3 workflows, reducing the need for repetitive boilerplate code. ... -
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Showkase
Annotation-processor based Android library
...Showkase also renders components under different conditions such as dark mode, right-to-left layouts, and scaled fonts, allowing developers to identify issues early in the development process. It integrates seamlessly with existing Compose workflows, including support for preview annotations, and requires minimal configuration to get started.
