Search Results for "execute" - Page 11
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Showing 1275 open source projects for "execute"
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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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Embabel Agent Framework
Agent framework for the JVM. Pronounced Em-BAY-bel
Embabel Agent Framework is a JVM-based framework for building advanced AI agent systems that combine structured programming with large language model interactions to execute complex, goal-oriented workflows. The framework introduces a planning-driven approach where agents dynamically determine sequences of actions required to achieve objectives, rather than relying on fixed pipelines or predefined flows. It models agent behavior through concepts such as goals, actions, and conditions, allowing systems to adapt in real time based on changing inputs and outcomes. ... -
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BehaviorTree.CPP
C++ behavior tree library for robotics and AI decision systems
BehaviorTree.CPP is a C++ library designed to create, manage, and execute behavior trees, a widely used model for decision-making in robotics and artificial intelligence systems. It provides a flexible and modular framework that allows developers to define complex behaviors as reusable tree structures composed of nodes. BehaviorTree.CPP emphasizes performance and real-time execution, making it particularly suitable for robotics applications where responsiveness is critical. -
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Apache Hamilton
Helps data scientists define testable self-documenting dataflows
...The framework enables developers to define data transformations as simple Python functions, where each function represents a node in a dataflow graph and its parameters define dependencies on other nodes. Hamilton automatically analyzes these functions and constructs a directed acyclic graph representing the pipeline, allowing the system to execute transformations in the correct order. This approach encourages modular, testable, and maintainable data pipelines because each transformation is isolated and easily unit tested. The framework also automatically tracks lineage and metadata about how data is produced, which improves debugging, reproducibility, and transparency in data workflows. -
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Deepnote
Deepnote is a drop-in replacement for Jupyter
...Built on top of the Jupyter kernel ecosystem, it maintains compatibility with existing notebook workflows while introducing additional features focused on collaboration and automation. The system supports programming languages such as Python, R, and SQL and allows users to execute and analyze data directly within interactive notebooks. Deepnote emphasizes team-based data science by enabling real-time collaboration similar to shared document editors, allowing multiple users to work simultaneously on the same notebook environment. -
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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BrowserNode
Make websites accessible for AI agents. Automate tasks online
...Built as an implementation compatible with the Browser-use ecosystem, Browsernode allows agents to perform actions such as navigating pages, extracting information, filling forms, or interacting with dynamic web interfaces. The system integrates with Playwright to control Chromium-based browsers and execute automation scripts in a reliable environment. Developers can configure the framework to connect to different language model providers so that AI agents can interpret instructions and decide which browser actions to perform. -
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BrowserGym
A Gym environment for web task automation
...It is intended for researchers building web agents rather than for end users looking for a consumer automation product. The project provides a common environment where agents can interact with websites, execute tasks, and be evaluated against standardized benchmarks. One of its main strengths is that it bundles several important benchmarks by default, including MiniWoB, WebArena, VisualWebArena, WorkArena, AssistantBench, WebLINX, and OpenApps. This gives researchers a unified way to compare agent behavior across diverse web environments and task types without stitching together separate evaluation stacks. ... -
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OM1
Modular AI runtime for robots
...The project focuses on creating a modular architecture where language models can coordinate with external tools, APIs, and knowledge sources to accomplish multi-step objectives. Instead of operating as simple conversational systems, OM1 agents can plan actions, retrieve information, and execute tasks across different services. The framework integrates reasoning modules, planning strategies, and tool interfaces that allow agents to operate in dynamic environments. Developers can extend the system by connecting new tools, services, or data sources to the agent architecture. The platform also includes mechanisms for coordinating workflows and managing the state of ongoing tasks. -
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Personal AI Infrastructure
Agentic AI Infrastructure for magnifying HUMAN capabilities
...Unlike once-stateless chatbots, this platform captures context, memory, goals, preferences, and feedback to enable an AI that understands you and improves over time, using a full agentic stack rather than simple question-answer loops. PAI blends tools like browsing, code editing, execution, and more into a continuous Observe → Think → Plan → Execute → Verify → Learn cycle, letting the system refine its behavior with each use. Its architecture supports long-term memory, verification of actions, and ongoing self-improvement, blurring the line between “assistant” and persistent, evolving collaborator. -
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Monty
A minimal, secure Python interpreter written in Rust for use by AI
...Rather than offering a full “general-purpose Python runtime with everything enabled,” Monty is designed to be minimal and controlled, making it easier to reason about what code can do and what it cannot. It prioritizes guardrails like resource limits and restricted capabilities, which is especially useful for agentic workflows that need to execute small pieces of Python for data transforms, validation, or tool-like computations. Because it’s written in Rust, it’s positioned to deliver a compact, portable runtime that can be embedded into larger systems that need dependable isolation. -
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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Upscheme
Database migrations and schema updates made easy
...With support for major relational database systems via Doctrine DBAL, Upscheme enables cross-platform migrations with minimal code, reducing friction when evolving your application’s data model. The project includes tools to generate migration files, handle dependencies between tasks, and execute changes reliably across environments without requiring low-level SQL scripting. By focusing on upgrades and avoiding potentially unsafe downgrades, it prioritizes safety and predictability for real-world application upgrades. -
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Superduper
Superduper: Integrate AI models and machine learning workflows
...This allows developers to completely avoid implementing MLOps, ETL pipelines, model deployment, data migration, and synchronization. Using Superduper is simply "CAPE": Connect to your data, apply arbitrary AI to that data, package and reuse the application on arbitrary data, and execute AI-database queries and predictions on the resulting AI outputs and data. -
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PyBroker
Algorithmic Trading in Python with Machine Learning
Are you looking to enhance your trading strategies with the power of Python and machine learning? Then you need to check out PyBroker! This Python framework is designed for developing algorithmic trading strategies, with a focus on strategies that use machine learning. With PyBroker, you can easily create and fine-tune trading rules, build powerful models, and gain valuable insights into your strategy’s performance. -
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legendary.nvim
A legend for your keymaps, commands, and autocmds
Define your keymaps, commands, and auto commands as simple Lua tables, building a legend at the same time (like VS Code's Command Palette). A legend for your keymaps, commands, and autocmds, integrates with which-key.nvim, lazy.nvim, and more. -
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Laravel Sharp
Laravel 10+ Content management framework
Sharp is a content management framework, a toolset that provides help to build a CMS section in a website, with some rules in mind. The public website should not have any knowledge of the CMS, the CMS is a part of the system, not the center of it. In fact, removing the CMS should not have any effect on the project. Content administrators should work with their data and terminology, not CMS terms. I mean, if the project is about spaceships, space travels, and pilots, why would the CMS talk... -
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Operator SDK
SDK for building Kubernetes applications. Provides high level APIs
...The Operator SDK provides the tools to build, test, and package Operators. Initially, the SDK facilitates the marriage of an application’s business logic (for example, how to scale, upgrade, or backup) with the Kubernetes API to execute those operations. Over time, the SDK can allow engineers to make applications smarter and have the user experience of cloud services. Leading practices and code patterns that are shared across Operators are included in the SDK to help prevent reinventing the wheel. -
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Benchee
Easy and extensible benchmarking in Elixir
Library for easy and nice (micro) benchmarking in Elixir. Benchee allows you to compare the performance of different pieces of code at a glance. It is also versatile and extensible, relying only on functions. There are also a bunch of plugins to draw pretty graphs and more! Benchee runs each of your functions for a given amount of time after an initial warmup, it then measures their run time and optionally memory consumption. It then shows different statistical values like average, standard... -
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NVE
Run any command on specific Node.js versions
...The first time nve is run with a new VERSION, the Node binary is downloaded under the hood. This initially takes few seconds. However subsequent runs are almost instantaneous. Tools like nvm, nvm-windows, n or nvs are meant to execute a specific Node.js version for an entire machine, project or shell session. It does not need a separate installation step for each Node version, it can run the major release's latest minor/patch version automatically, works on Windows. No need to run as Administrator. It does not require Bash and it is installed as a Node module (as opposed to a Bash installation script downloaded with curl). -
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Lambda Builders
Python library to compile, build & package AWS Lambda functions
...It additionally exposes a JSON-RPC 2.0 interface to use in other languages. Build Actions could be implemented in any programming language. Preferably in the language that they are building. Some build actions simply execute a binary (like Golang) without writing a Go script. We provide a generic Python runner to implement such build actions. A build action is a module that knows how to build for a particular programming language & framework (ex: Python+PIP). Build actions can be implemented in Python or in the native programming language. Each build action has its own design document. -
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Conjure
Interactive evaluation for Neovim
Interactive evaluation for Neovim (Clojure, Fennel, Janet, Racket, Hy, MIT Scheme, Guile). Conjure is an interactive environment for evaluating code within your running program. The core features of Conjure are language agnostic (although it’s targeted at Lisps for now), with each language client providing their own extra tools. Here are the currently supported languages, contributions, and 3rd party plugins that add clients are highly encouraged! You can find a comparison table for all... -
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NelmioApiDocBundle
Generates documentation for your REST API from annotations
...One extracts data from SwaggerPHP annotations, one from your routes, etc. You can configure global information in the bundle configuration documentation.info section. Open a command console, enter your project directory and execute the provided command to download the latest version of this bundle. -
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PostGraphile
Execute a command and get an instant high-performance GraphQL API
GraphQL is a new way of communicating with your server. It eliminates the problems of over- and under-fetching, incorporates strong data types, has built-in introspection, documentation and deprecation capabilities, and is implemented in many programming languages. This all leads to gloriously low-latency user experiences, better developer experiences, and much increased productivity. Because of all this, GraphQL is typically used as a replacement for (or companion to) RESTful API services.... -
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Turborepo
Build system optimized for JavaScript and TypeScript, written in Rust
...Speed up PaaS deploys by generating a subset of your monorepo with only what's needed to build a specific target. Turborepo won’t interfere with your runtime code or touch your sourcemaps. Execute builds using every core at maximum parallelism without wasting idle CPUs. Define the relationships between your tasks and then let Turborepo optimize what to build and when. -
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httparty
Makes http fun again!
...By default it will output the response as a pretty-printed Ruby object (useful for grokking the structure of output). This can also be overridden to output formatted XML or JSON. Execute httparty --help for all the options. If the response Content Type is application/json, HTTParty will parse the response and return Ruby objects such as a hash or array. The default behavior for parsing JSON will return keys as strings. This can be supressed with the format option. In some cases you may want to skip SSL verification, because the entity that issued the certificate is not a valid one, but you still want to work with it. ... -
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jsdom
JavaScript implementation of various web standards, for use with Node
jsdom is a pure-JavaScript implementation of many web standards, notably the WHATWG DOM and HTML Standards, for use with Node.js. In general, the goal of the project is to emulate enough of a subset of a web browser to be useful for testing and scraping real-world web applications. The latest versions of jsdom require Node.js v10 or newer. To use jsdom, you will primarily use the JSDOM constructor, which is a named export of the jsdom main module. Pass the constructor a string. The resulting... -
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Cheerio
Implementation of core jQuery designed for the server
...Cheerio parses markup and provides an API for traversing/manipulating the resulting data structure. It does not interpret the result as a web browser does. Specifically, it does not produce a visual rendering, apply CSS, load external resources, or execute JavaScript. If your use case requires any of this functionality, you should consider projects like Puppeteer or JSDom.