Search Results for "define" - Page 11
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Showing 1352 open source projects for "define"
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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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Cobra
A Commander for modern Go CLI interactions
Cobra is a library for creating powerful modern CLI applications, and at the same time a program to generate applications and command files. It provides a simple interface for creating powerful CLI interfaces, and will also generate application scaffolding so you can quickly develop your Cobra-based application. This scaffolding includes easy subcommand-based CLIs, fully POSIX-compliant flags, global, local and cascading flags, among many others. The structure of Cobra is based on... -
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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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AutoAgent AI
Autonomous harness engineering
AutoAgent is an experimental AI framework focused on autonomous agent engineering, where a meta-agent iteratively improves another agent’s architecture without direct human intervention. Instead of manually tuning prompts or workflows, developers define high-level goals in a configuration file, and the system continuously modifies its own tools, orchestration, and logic based on benchmark performance. It operates through a loop of testing, analyzing failures, and refining the agent’s configuration to maximize a scoring metric. The framework uses a single-file agent harness combined with structured tasks and evaluation suites to guide optimization. ... -
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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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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. -
Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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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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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GraphQL Batch
A query batching executor for the graphql gem
A query batching executor for the graphql gem. Provides an executor for the graphql gem which allows queries to be batched. Define a custom loader, which is initialized with arguments that are used for grouping and a perform method for performing the batch load. Use GraphQL::Batch as a plugin in your schema after specifying the mutation so that GraphQL::Batch can extend the mutation fields to clear the cache after they are resolved. The loader class can be used from the resolver for a graphql field by calling .for with the grouping arguments to get a loader instance, then call .load on that instance with the key to load. ... -
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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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moq
Interface mocking tool for go generate
...Instead of relying on a large mocking framework, Moq creates straightforward Go code that can be inspected, edited, and used directly in tests. The generated structs allow developers to define function behavior for each mocked method. This makes it easier to test code that depends on interfaces without writing repetitive mock boilerplate by hand. Moq is useful for Go developers who prefer simple, readable, generated mocks that fit naturally into standard testing workflows. -
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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,... -
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spacy-llm
Integrating LLMs into structured NLP pipelines
Large Language Models (LLMs) feature powerful natural language understanding capabilities. With only a few (and sometimes no) examples, an LLM can be prompted to perform custom NLP tasks such as text categorization, named entity recognition, coreference resolution, information extraction and more. This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various... -
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ExMachina
Create test data for Elixir applications
...As such, it gets evaluated immediately. By default, ExMachina will merge the attributes you pass into build/insert into your factory. But if you want full control of your attributes, you can define your factory as accepting one argument, the attributes being passed into your factory. -
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Polymer
A Web Component library
...Polymer can be particularly useful when building UI components. Instead of having to constantly rebuild components such as a specific navigation bar or button in different frameworks and for different projects, simply define this component once with Polymer, and you can use it again and again in your future projects. Because Polymer is built on top of the web standards-based Web Components APIs, custom HTML elements made from it are built totally from the platform up and are interoperable across frameworks. Polymer also works across all major browsers.
