Search Results for "execute" - Page 12
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Showing 1275 open source projects for "execute"
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NUnit 3 Framework
NUnit 3 Framework
...When running tests in a separate process, the console and gui runners make use of the NUnit Agent program, nunit-agent.exe. Although not directly run by users, nunit-agent does load and execute tests and users need to be aware of it, especially when debugging is involved. -
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ispc
Intel SPMD Program Compiler
...Under the SPMD model, the programmer writes a program that generally appears to be a regular serial program, though the execution model is actually that a number of program instances execute in parallel on the hardware. ispc compiles a C-based SPMD programming language to run on the SIMD units of CPUs and GPUs; it frequently provides a 3x or more speedup on architectures with 4-wide vector SSE units and 5x-6x on architectures with 8-wide AVX vector units, without any of the difficulty of writing intrinsics code. Parallelization across multiple cores is also supported by ispc, making it possible to write programs that achieve performance improvement that scales by both numbers of cores and vector unit size. ... -
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AWS Data Wrangler
Pandas on AWS, easy integration with Athena, Glue, Redshift, etc.
...Easy integration with Athena, Glue, Redshift, Timestream, OpenSearch, Neptune, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON, and EXCEL). Built on top of other open-source projects like Pandas, Apache Arrow and Boto3, it offers abstracted functions to execute usual ETL tasks like load/unload data from Data Lakes, Data Warehouses, and Databases. Convert the column name to be compatible with Amazon Athena and the AWS Glue Catalog. Run a query against AWS CloudWatchLogs Insights and convert the results to Pandas DataFrame. Get QuickSight dashboard ID given a name and fails if there is more than 1 ID associated with this name. ... -
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Preswald
Python tool for browser-based interactive data apps in one file
...It packages application logic, data processing, and user interface components into a single self-contained output, enabling easy sharing and deployment without requiring local dependencies. Preswald leverages a WebAssembly runtime along with technologies like Pyodide and DuckDB to execute Python code directly in the browser environment. This approach allows developers to create dashboards, reports, notebooks, and data tools that are portable, fast, and capable of running offline. Preswald emphasizes a code-first workflow where users define applications entirely in Python while using built-in UI components such as tables, charts, and forms. ... -
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Google Cloud Build community images
Community-contributed images for Google Cloud Build
Google Cloud Build community images repository is an open-source collection of community-contributed Docker builder images designed to extend the capabilities of Google Cloud Build beyond its official set of supported tools. It provides source code for a wide variety of builders that can be used as individual steps within Cloud Build pipelines, enabling developers to execute specialized tasks that are not covered by default builder images. Each builder is packaged as a Docker image and must be built and pushed to a project-specific registry before being used, giving teams full control over versions, dependencies, and customization. The repository follows a standardized structure where each builder includes its own configuration files, examples, and usage instructions, making it easier to integrate into CI/CD workflows. ... -
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Playwright Skill for Claude Code
Claude Code Skill for browser automation with Playwright
Playwright Skill is an open-source plugin designed for Claude Code that enables dynamic browser automation using Playwright through natural language instructions. The tool allows an AI agent to generate, execute, and manage browser automation scripts on demand, rather than relying on predefined workflows or static test scripts. It is structured as a modular skill within the Claude ecosystem, meaning it can be installed as a plugin and invoked automatically when browser automation tasks are required. The system supports a wide range of use cases, including testing web applications, validating user interfaces, automating workflows, and extracting data from websites. ... -
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Netflix Maestro
Netflix’s Workflow Orchestrator
...It was designed to support the demanding internal infrastructure of Netflix, where thousands of workflows must process massive volumes of data reliably and efficiently every day. The platform enables engineers and data scientists to define workflows using structured configuration files and execute tasks across diverse compute environments, including scripts, containers, and notebook environments. Maestro provides built-in mechanisms for retry logic, task scheduling, dependency management, and error handling, which are essential when orchestrating production-scale pipelines. -
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LLMCompiler
An LLM Compiler for Parallel Function Calling
LLMCompiler is an open-source framework designed to optimize how large language models orchestrate multiple external tool or function calls during complex reasoning tasks. Traditional LLM agent systems typically execute tool calls sequentially, which can create latency, higher costs, and reduced reliability when solving multi-step problems. LLMCompiler addresses this limitation by applying principles from classical compilers to analyze a task and construct an execution plan that allows multiple functions to run in parallel whenever possible. The framework builds a dependency graph of required operations, identifying which tasks must run sequentially and which can be executed simultaneously. ... -
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Lagent
A lightweight framework for building LLM-based agents
Lagent is a lightweight open-source framework designed to help developers build autonomous agents powered by large language models. The framework provides tools and abstractions that allow language models to interact with external tools, execute tasks, and perform multi-step reasoning processes. Instead of using LLMs only for text generation, Lagent enables developers to transform models into agents capable of performing actions such as retrieving data, executing code, or interacting with APIs. The system includes modular components that allow developers to connect different models and tools within the same agent architecture. ... -
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Cradle framework
The Cradle framework is a first attempt at General Computer Control
...This approach allows agents to interact with any software interface without relying on specialized APIs or predefined automation scripts. The framework integrates reasoning, planning, and memory modules that help the agent understand its environment and execute long sequences of actions. Cradle agents are capable of performing tasks across a wide variety of environments, including computer applications and video games, demonstrating the generality of the approach. The architecture includes modules that allow agents to observe their environment, reflect on past actions, plan future steps, and accumulate useful skills for later tasks. -
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II Agent
A new open-source framework to build and deploy intelligent agents
...The platform allows users to interact with multiple AI models within a single environment while connecting those models to external services and knowledge sources. Through a unified interface, users can switch between models, access specialized tools, and execute tasks that require information retrieval, code execution, or file analysis. The architecture focuses on transforming traditional software tools into autonomous assistants capable of completing tasks independently based on user instructions. II-Agent supports integration with modern AI services and can coordinate interactions between different models and capabilities within the same workflow. -
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AI Agents From Scratch
Demystify AI agents by building them yourself. Local LLMs
...The project walks through the process of constructing agents step by step, beginning with simple prompt-based interactions and gradually introducing more advanced capabilities such as planning, tool use, and memory. The repository provides example implementations that demonstrate how language models can interact with external systems, perform reasoning tasks, and execute structured workflows. It focuses on explaining the architecture of agent systems rather than simply providing finished code, making it useful for developers who want to understand how AI agents actually work internally. By building agents incrementally, the project helps learners grasp concepts such as decision loops, task decomposition, and environment interaction. -
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DocETL
A system for agentic LLM-powered data processing and ETL
DocETL is an open-source system designed to build and execute data processing pipelines powered by large language models, particularly for analyzing complex collections of documents and unstructured datasets. The platform allows developers and researchers to construct structured workflows that extract, transform, and organize information from sources such as reports, transcripts, legal documents, and other text-heavy data. -
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Deep Search Agent
Implement a concise and clear Deep Search Agent from 0
Deep Search Agent is an experimental demonstration project that showcases an autonomous AI agent designed to perform multi-step research and information gathering tasks. The repository illustrates how large language models can be orchestrated with tools and planning logic to execute complex search workflows rather than single-prompt responses. It typically combines reasoning, retrieval, and iterative refinement so the agent can break down questions, gather evidence, and synthesize structured outputs. The project is positioned primarily as a proof of concept for deep research agents rather than a production-ready system. ... -
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Srcbook
TypeScript-centric app development platform
Srcbook is an open-source, local-first development environment that blends a TypeScript notebook with an AI-assisted app builder, giving developers a flexible space to prototype, explore, and build full web applications with AI support and real execution. It runs locally through a CLI tool backed by Node.js, launching a web interface where users can write and execute TypeScript code interactively, visualize results, and iterate quickly on ideas without leaving the browser. Srcbook’s notebook component offers a structure similar to Jupyter or Livebook, but focused on the JavaScript/TypeScript ecosystem, letting developers intermix code, documentation, and visuals while executing code cells on demand. ... -
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Weft
Task management, but AI agents do your tasks
Weft is an AI-augmented personal task management board where autonomous agents can be assigned tasks and then carry them out across real services like email, Google Docs, spreadsheets, GitHub issues, and pull requests. Instead of just listing to-dos, Weft lets users describe work and attach intelligent agents that read context, perform actions, and request approvals before committing state changes, making task execution partly automated without sacrificing control. It runs entirely on... -
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jsconsole
Web based console - for presentations and workshops
...It provides an in-browser REPL-style environment where you can type JS expressions and see output instantly, making it useful for teaching, debugging snippets, or demonstrating ideas without setting up a local development environment. One hallmark of jsconsole is its remote debugging support: you can connect a remote browser or device to your console session and receive console output or even execute commands in that context, which simplifies diagnosing problems on devices you don’t have physically in front of you. While more limited than full browser dev tools, it’s lightweight and accessible from anywhere with a browser, and the project includes the full web-app source so you can self-host or customize it for specific use cases. -
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test.vim
Run your tests at the speed of thought
vim-test is a flexible testing runner for Vim and Neovim that provides a unified interface to execute tests across many languages and frameworks from inside the editor. It abstracts differences between tools so you can run nearest test, current file, last test, or entire suite with consistent commands and mappings. The plugin auto-detects supported test frameworks based on project files and adapts its strategy accordingly. Output can be shown in splits, quickfix, or dispatched to external runners, and it integrates smoothly with asynchronous job systems for non-blocking runs. ... -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
...It lets you connect sources, transforms, models, and visualizers into a live graph, so changes propagate instantly and results are observable without writing glue code. Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. Because everything lives in the browser, sharing is as simple as exporting a project or link, and collaborators can experiment without installing toolchains. ... -
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Eko
Build Production-ready Agentic Workflow with Natural Language
...It provides a unified interface for managing agents, offering features such as web resource access and high task complexity handling. Eko is open-source and can be used to execute tasks like browser automation, system operations, and software testing. -
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Gradle IntelliJ Plugin
Gradle plugin for building plugins for IntelliJ-based IDEs
...The IDE Plugin generator automatically creates the Run Plugin run configuration that can be executed via the Run | Run... action or can be found in the Gradle tool window under the Run Configurations node. To execute the Gradle runIde task directly, open the Gradle tool window and search for the runIde task under the Tasks node. If it's not on the list, hit the re-import button in the toolbar at the top of the Gradle tool window. -
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Spring Data JPA
Simplifies the development of creating a JPA-based data access layer
...It makes it easier to build Spring-powered applications that use data access technologies. Implementing a data access layer of an application has been cumbersome for quite a while. Too much boilerplate code has to be written to execute simple queries as well as perform pagination, and auditing. Spring Data JPA aims to significantly improve the implementation of data access layers by reducing the effort to the amount that’s actually needed. As a developer, you write your repository interfaces, including custom finder methods, and Spring will provide the implementation automatically. ... -
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EARTHLY
The effortless CI/CD framework that runs anywhere
Share compute and cache with Earthly Satellites. Build remotely from the comfort of your terminal. Satellites use the code in your current directory, stream logs back to you in real time, and output results (images, artifacts) back to your laptop. When used from a CI, Earthly Satellites can be used to speed up builds, as the cache is retained between runs. Earthly was engineered for readability. Most engineers are able to read an Earthfile without any prior knowledge. We took some of the... -
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Litmus
Litmus helps SREs and developers practice chaos engineering
...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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navi
An interactive cheatsheet tool for the command-line
navi allows you to browse through cheatsheets (that you may write yourself or download from maintainers) and execute commands. Suggested values for arguments are dynamically displayed in a list. it will spare you from knowing CLIs by heart. It will spare you from copy-pasting output from intermediate commands. It will make you type less. It will teach you new one-liners. It uses fzf, skim, or Alfred under the hood and it can be either used as a command or as a shell widget (à la Ctrl-R). ...