Search Results for "define" - Page 11
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Showing 1490 open source projects for "define"
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Forever Free Full-Stack Observability | 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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Litmus
Litmus helps SREs and developers practice chaos engineering
...Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of microservices and uses Kubernetes custom resources to define the chaos intent, as well as the steady-state hypothesis. A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment. -
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sbt
sbt, the interactive build tool
Define your tasks in Scala. Run them in parallel from sbt's interactive shell. sbt is built for Scala and Java projects. It is the build tool of choice for 93.6% of the Scala developers (2019). One of the examples of a Scala-specific feature is the ability to cross-build your project against multiple Scala versions. build.sbt is a Scala-based DSL to express parallel processing task graph. -
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Sage
WordPress starter theme with a modern development workflow
...Sage comes with the latest version of Bootstrap. Replace Bootstrap with Bulma, Foundation, Tachyons, Tailwind, or a blank slate upon installation. You will have the option to define theme meta information (name, URI, description, version, author) and choose a CSS framework. Sage uses Laravel's Blade templating engine, and since the .blade.php files live in a publicly accessible directory on your webserver, we recommend preventing plain-text access to them. Sage uses composer and yarn to manage dependencies, and since their files might contain private credentials and expose dependency versions, we recommend blocking them as well. ... -
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Phalcon
High performance, full-stack PHP framework delivered as a C extension
...Using the file structure, scheme and patterns you already know. Phalcon is built upon a powerful yet easy to understand and use pattern called Dependency Injection. Initialize or define services once, and use them virtually anywhere throughout the application. -
Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Data Contract CLI
Enforce Data Contracts
Data Contract CLI is an open-source command-line tool and Python library for creating, validating, testing, importing, exporting, and enforcing data contracts. It uses YAML-based contract files to define the structure, meaning, quality rules, service levels, and connection details for a data product. The tool can connect to real data sources and check whether the actual dataset matches the schema, constraints, and quality expectations described in the contract. It supports both the Data Contract Specification and the Open Data Contract Standard, making it useful for teams standardizing data governance across different platforms. ... -
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Ruler AI
Centralize and sync AI coding rules across tools and projects
...Instead of maintaining separate configuration files for tools like GitHub Copilot, Claude, or Cursor, it stores all rules in a single .ruler/ directory and distributes them automatically. This reduces duplication, avoids inconsistent outputs, and keeps guidance aligned as projects evolve. Ruler supports nested rule loading, allowing teams to define context-specific instructions for different parts of a codebase. It also manages MCP server settings, automates .gitignore updates, and provides simple commands to initialize, apply, and revert configurations. Designed for teams using multiple AI agents, it improves workflow consistency, simplifies onboarding, and ensures all assistants follow the same standards across projects. -
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TensorRT LLM
TensorRT LLM provides users with an easy-to-use Python API
TensorRT-LLM is an open-source high-performance inference library specifically designed to optimize and accelerate large language model deployment on NVIDIA GPUs. It provides a Python-based API built on top of PyTorch that allows developers to define, customize, and deploy LLMs efficiently across a variety of hardware configurations, from single GPUs to large multi-node clusters. The library focuses on maximizing throughput and minimizing latency through advanced techniques such as quantization, custom attention kernels, and optimized memory management strategies. It includes support for cutting-edge inference methods like speculative decoding and inflight batching, enabling real-time and large-scale AI applications. ... -
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AG2
Framework for building and orchestrating multi-agent AI systems
AG2 is an open source framework designed to support the creation and coordination of multiple AI agents working together to solve complex tasks. It provides abstractions that allow developers to define agents with distinct roles, responsibilities, and communication patterns, enabling collaborative problem-solving workflows. AG2 focuses on making multi-agent systems more accessible by simplifying how agents are configured, connected, and executed. It includes mechanisms for agent-to-agent interaction, task delegation, and iterative reasoning, which are essential for building advanced AI-driven applications. ... -
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Trellis AI
All-in-one AI framework & toolkit for Claude Code & Cursor
Trellis is an advanced workflow and agent orchestration framework designed for building, managing, and scaling intelligent applications that coordinate numerous autonomous components. At its core, Trellis lets developers define units of work — called tasks or agents — and compose them into rich workflows that can operate with concurrency, conditional logic, and dynamic branching, all without sacrificing readability or control. It emphasizes modular design, encouraging users to encapsulate logic into reusable pieces that can be tested, versioned, and reused across projects. ... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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runprompt
Run LLM prompts from your shell
...It functions as a lightweight, launcher-centric interface where you can type a phrase, partial command, or alias and have RunPrompt suggest or execute relevant actions instantly, reducing the need to memorize long commands or navigate complex directory structures. The project emphasizes extensibility, letting users define custom actions, integrate with existing shell environments, and even leverage fuzzy matching or contextual prompts to narrow down options as you type. Designed to be cross-platform, RunPrompt works with standard shells on Windows, macOS, and Linux while honoring the user’s preferred environment and configurations. -
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Design OS
The missing design process between your product idea and your codebase
Design OS is an open-source product planning and UI design framework that sits at the intersection of design thinking and generative AI, guiding creators through a repeatable process from product idea to structured design deliverables. It fills what the maintainers describe as the “missing design process” in AI-first development, helping users define product visions, model data, map user flows, and lay out interfaces before a coding agent begins implementation. The tool is poised to produce production-ready UI components and artifacts that any AI coding tool can consume, encouraging a disciplined front-to-backend workflow that avoids disjointed, reactive design prompts. Design OS emphasizes clarity of intent, consistency of design systems, and exporting usable components rather than just static mockups, which aligns better with automated build pipelines and agent-driven development. -
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
...It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom agents, environments, policy networks, and reward structures while leveraging built-in dataset utilities, logging, and checkpointing for reproducible experiments. RLM also includes integration with popular simulation environments and benchmark suites, giving researchers a ready-made playground for algorithm comparison and performance tracking. -
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Flask-SocketIO
Socket.IO integration for Flask applications
Flask-SocketIO is an extension for the Flask web framework that enables real-time bi-directional communication between clients and servers using WebSockets or long-polling fallbacks, making it possible to build interactive applications like chat systems, live dashboards, and collaborative tools. It abstracts the complexities of asynchronous sockets by providing a familiar Flask-style API where developers can define event handlers that trigger on client messages, broadcast to connected users, and manage namespaces and rooms. The extension supports multiple asynchronous workers through integrations with popular async servers like eventlet or gevent, allowing scalable handling of concurrent connections. It also includes features such as session and user tracking across socket connections, JSON message support, and simple decorators to bind events to handler functions. -
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Aimeos core
Aimeos PHP ecommerce framework for ultra fast online shops
Aimeos-Core is the core library and framework for the Aimeos ecommerce ecosystem, providing the essential building blocks for flexible, scalable online shops, marketplaces, and enterprise commerce applications. Unlike a monolithic shop application, Aimeos-Core is designed as a modular framework that you can embed into your own web app, enabling you to define custom front-ends and workflows while relying on its robust commerce services for catalog, cart, checkout, orders, and customer management. Because it separates core logic from presentation, developers can integrate it into a variety of stacks, customize behavior, and extend functionality without modifying the core code. The engine is built in PHP and focuses on performance and maintainability, making it suitable for medium to large businesses that need seamless integration with existing systems like ERP or CRM. -
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Amper
Build tool for the Kotlin and Java languages
...Designed to be lightweight and efficient, Amper runs as a background service that batches and securely transmits anonymous data back to analytics pipelines while respecting user privacy settings and opt-outs. The architecture focuses on extensibility so that developers can define new metric types, customize triggers, and enrich events with context without adding overhead to the IDE. Data collected by Amper feeds dashboards and experimentation systems that guide design decisions, prioritize feature improvements, and monitor the impact of releases over time. -
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Tilt
Define dev environment as code for microservice apps on Kubernetes
A toolkit for fixing the pains of microservice development. Understand & orchestrate your services, work smarter & faster wherever you are, and team-based productivity. See all the pieces of your app, and trigger custom workflows like seeding databases or creating infrastructure. Our engine starts the whole app and runs automated rebuilds as you edit in your IDE. Get a continuous feedback loop with your logs, broken builds, and runtime errors. Work with Kubernetes without needing to be an... -
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Actix
Actor framework for Rust
...Check the API docs for more information on the actor lifecycle. An Actor communicates with another Actor by sending messages. In actix all messages are typed. Let's define a simple Sum message with two usize parameters and an actor which will accept this message and return the sum of those two numbers. Here we use the #[actix::main] attribute as an easier way to start our System and drive our main function. -
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TypeDoc
Documentation generator for TypeScript projects
...The CLI can be used both from your terminal or from npm scripts. All arguments that are not passed with flags are parsed as entry points. Use either the --out or --json arguments to define the format and destination of your documentation. -
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CXX
Safe interop between Rust and C++
...It provides a safe mechanism for calling C++ code from Rust and vice versa, one that is protected from the many possible things that can go wrong when bindgen or cbindgen is used to generate unsafe C-style bindings. The general idea of CXX is to define the signatures of both sides of the FFI boundary embedded together in one Rust module. CXX gets a complete picture from this of the boundary, and through it is able to perform static analyses against the types and function signatures, ensuring that both Rust's and C++'s invariants and requirements are upheld. CXX then emits the relevant extern "C" signatures on both sides through a pair of code generators. ... -
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cloud-morph
Decentralize, Self-host Cloud Gaming/Application
...It leverages containerization and distributed architecture to handle workloads efficiently across multiple nodes. cloud-morph focuses on flexibility, enabling users to define custom processing pipelines for different media scenarios. It can be used for applications such as streaming, video processing, and content delivery optimization. Overall, it provides a scalable solution for handling multimedia transformations in cloud environments. -
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Excalibur
Excalibur is a highly opinionated agent harness
...The system likely provides tools for managing tasks, orchestrating processes, or enhancing decision-making capabilities in automated systems. Its design suggests an emphasis on control and precision, allowing users to define how tasks are executed and monitored. It may include abstractions for handling inputs, outputs, and intermediate steps, enabling more predictable behavior in complex workflows. The architecture is likely modular, supporting customization and extension for different use cases. This makes it suitable for experimentation as well as integration into larger systems. ... -
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Ralph Wiggum Marketer
A Claude Code Plugin that provides an autonomous AI copywriter
...It leverages the Ralph Wiggum loop concept — a continuous iteration pattern named after the iconic character that symbolizes persistent, repeated refinement — to let Claude Code keep iterating on content until predefined completion criteria are met, rather than stopping after a single output. This plugin integrates with Claude Code workflows so that marketers or product teams can define high-level goals, seed their product or service context, and then have the AI autonomously draft, refine, and polish marketing materials with minimal human intervention. -
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BenchmarkDotNet
Powerful .NET library for benchmarking
...It handles complexities like warm-up, outlier removal, and statistical analysis, presenting results in a clean, customizable summary format. BenchmarkDotNet has tons of features that are essential in comprehensive performance investigations. Four aspects define the design of these features: simplicity, automation, reliability, and friendliness. A lot of hand-written benchmarks produce wrong numbers that lead to incorrect business decisions. BenchmarkDotNet protects you from most of the benchmarking pitfalls and allows you to achieve high measurement precision. -
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Gradle Docker Compose Plugin
Simplifies usage of Docker Compose for integration testing
The Gradle Docker Compose Plugin by Avast integrates Docker Compose lifecycle management into Gradle builds. It allows developers to define and manage Docker containers required for integration testing or local development directly from their Gradle build scripts. This plugin automates the startup and shutdown of services, supports container health checks, and enables tight integration between application code and containerized services, enhancing reproducibility and automation in development pipelines. -
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POMDPs
Interface for defining, solving, simulating Markov decision processes
A Julia interface for defining, solving and simulating partially observable Markov decision processes and their fully observable counterparts. The POMDPs.jl package contains only the interface used for expressing and solving Markov decision processes (MDPs) and partially observable Markov decision processes (POMDPs). The POMDPTools package acts as a "standard library" for the POMDPs.jl interface, providing implementations of commonly-used components such as policies, belief updaters,...
