Search Results for "define" - Page 18
Sort By:
Showing 1490 open source projects for "define"
View related business solutions-
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.
-
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.
-
1
GitAgent
A framework-agnostic, git-native standard for defining AI agents
...Unlike many frameworks that tightly couple agents to specific ecosystems, GitAgent is designed to be framework-agnostic so that the same agent definition can operate across multiple platforms and AI tooling environments. The repository typically includes a manifest file that describes the agent’s configuration, along with additional files that define behavior, skills, and integrations with external tools. This structure allows organizations to treat agents similarly to software projects, with version control, branching, auditing, and collaboration handled through Git. -
2
ControlFlow
Take control of your AI agents
...The framework provides a structured approach for building AI systems by breaking complex tasks into smaller units called tasks that can be assigned to specialized AI agents. Developers can combine these tasks into flows that define how work is executed, enabling the creation of multi-step reasoning pipelines and collaborative agent systems. ControlFlow focuses on maintaining transparency and control in AI applications by providing explicit workflow structures instead of opaque chains of prompts. The system integrates with common LLM providers and allows developers to create workflows that blend traditional software logic with AI-driven reasoning. ... -
3
Inkeep
Create AI Agents in a No-Code Visual Builder or TypeScript SDK
...It lets developers and non-technical users create, manage, and orchestrate multi-agent systems using both a no-code visual builder and a full TypeScript SDK, giving two ways to define agent behaviors that stay in sync with each other. Agents built with this framework can act as real-time conversational assistants — for example, handling help desk inquiries, providing internal support to teams, or driving in-app experiences — and they can be extended to automate multi-step tasks that interact with external systems like CRMs, knowledge bases, or ticketing systems. ... -
4
Auto-Commenter
A Claude skill that automatically posts personalized comments
...It is framed as a “skill” that can be configured to operate in specific communities, aiming to reduce the repetitive work of staying active while still keeping comments personalized. Because it is designed for ongoing use, it typically includes setup steps for credentials, configuration, and guardrails that define where and how it should comment. -
$300 in Free Credit Towards Top Cloud ServicesStart your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale.
-
5
VibeKit
Run Claude Code, Gemini, Codex in a clean, isolated sandbox
...It provides a set of abstractions and utilities that let developers connect generative models to UI frameworks, sensors, event streams, and external services without having to build plumbing from scratch. Instead of treating AI models as black boxes behind simple prompts, Vibekit encourages developers to define declarative behaviors, reactive rules, and data flows that make the outputs of models part of living application logic. This can include things like dynamic content generation, live adaptation based on user interaction, and connectors to external APIs for enriched grounding. The toolkit also supports testing and local iteration, with utilities that simulate event streams and mock model responses to make development predictable. -
6
Lingvo
Framework for building neural networks
...It was originally developed for internal research and later open sourced to support reproducible experiments and shared model implementations. The framework provides a structured way to define models, input pipelines, and training configurations using a common interface for layers, which encourages reuse across different tasks. It has been used to implement state of the art architectures such as recurrent neural networks, Transformer models, variational autoencoder hybrids, and multi task systems. Lingvo includes reference models and configurations for domains like machine translation, automatic speech recognition, language modeling, image understanding, and 3D object detection. ... -
7
Agently 4
Build GenAI application quick and easy
Agently is a Python framework for building generative-AI (“GenAI”) applications; it focuses on enabling developers to orchestrate AI agents, workflows, and event-driven logic in a robust, reusable way. With Agently, one can define agents that call different models, chain tasks, trigger workflows based on events, and switch models with minimal code changes. It abstracts away boilerplate around model API calls, tool usage, prompt management, and workflow state. The project aims at production-grade GenAI application development rather than just one-off scripts — you’ll find examples of news gathering, agentic workflows, control systems, etc. ... -
8
FastMCP Framework
A TypeScript framework for building MCP servers
FastMCP is a TypeScript framework aimed at building servers compliant with the Model Context Protocol (MCP), enabling LLMs (large language models) or other clients to access tools, resources, and context through a defined protocol. It allows developers to define “tools” (basically operations or services) and “resources” that can be fetched or interacted with, and supports multiple transport mechanisms (HTTP streaming, SSE, etc) for client-server communication. Because it’s built in TypeScript and designed with modern deployment targets (Node.js, Cloudflare Workers, etc), it aims to support production-ready MCP servers with strong type safety and extensibility. ... -
9
Flax
Flax is a neural network library for JAX
...Its design separates pure computation from state by threading parameter collections and RNGs explicitly, enabling reproducibility, transformation, and easy experimentation with JAX transforms like jit, pmap, and vmap. Modules define parameterized computations, but initialization and application remain side-effect free, which pairs naturally with JAX’s staging and compilation model. Flax emphasizes composability: optimizers, training loops, and checkpointing are provided as examples or utilities rather than monolithic frameworks, encouraging research-friendly customization. ... -
Full-stack observability with actually useful AI | 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.
-
10
ContextForge MCP Gateway
A Model Context Protocol (MCP) Gateway & Registry
...It exposes an MCP-compliant interface to clients while handling discovery, authentication, rate limiting, retries, and observability on the server side. The gateway scales horizontally, supports multi-cluster deployments on Kubernetes, and uses Redis for federation and caching across instances. Operators can define virtual servers, wire multiple transports, and optionally enable an admin UI for management and monitoring. Packaged for quick starts via PyPI and Docker, it targets production reliability with health checks, metrics, and structured logs. The project positions itself as an integration hub so agentic apps can “connect once, use many” backends with consistent policy and lifecycle control. -
11
3FS
A high-performance distributed file system
...Its primary aim is to support efficient and scalable feature transformation pipelines—especially for inference environments—by batching, caching, and integrating feature-based modules like segmenters, sparse retrievers, and scorers seamlessly. The repo includes APIs to define components (e.g. seg, ret, scor) that wrap or interface with external or internal modules, as well as logic to schedule and compose these feature transforms. By handling caching and batching at a system level, 3FS helps reduce overhead when many features or modules must be evaluated per input (e.g. in an LLM agent pipeline). The repository includes example integration with models like DeepSeek-V2 / V3, showing how 3FS can be plugged into pipelines for operations like plugin processing. -
12
GoCryptoTrader
Trading bot and framework supporting multiple exchanges
GoCryptoTrader is a full framework / bot for cryptocurrency trading, written in Go (Golang). It supports multiple exchanges, real-time and historic data, backtesting, handling order books, portfolio management, scripting, and many exchange integration features. It is a trading engine that can be run by users to automate strategies across many exchanges. Licensed under MIT. Support for all exchange fiat and digital currencies, with the ability to individually toggle them on/off. Customisation... -
13
Giter8
A command line tool to apply templates defined on GitHub
giter8 is a command-line utility and templating tool used to generate new projects or code structures from templates. The core idea is that you can define a “template repository” (e.g. on GitHub) with placeholders, variables, and a folder structure, and giter8 will clone it and substitute in values (e.g. project name, package, author) to produce a ready-to-go scaffold. It’s commonly used in the Scala / JVM ecosystem to bootstrap new applications or libraries, letting developers avoid repetitive boilerplate setup. ... -
14
FriendlyId
FriendlyId is the “Swiss Army bulldozer” of slugging
FriendlyId is a Rails gem that provides human-readable slugs for ActiveRecord models, replacing numeric IDs in URLs with meaningful strings. For example, instead of /articles/123, you can have /articles/my-first-post. It integrates with ActiveRecord to generate slugs automatically based on attributes (like a title) and manages uniqueness, history, and slug regeneration when records change. FriendlyId also supports features like slug candidates, scoped slugs, and reserved word handling to... -
15
Pundit
Minimal authorization through OO design and pure Ruby classes
Pundit (varvet/pundit) is a Ruby gem that provides a simple and effective framework for adding authorization logic to Rails (or other Ruby) applications. It centers around policy classes—one policy per model or resource—that define what actions a given user is permitted to perform (e.g., show?, update?, destroy?). Each policy method returns a boolean, and can be structured using combinators or shared logic to keep things DRY. In controllers and views, Pundit provides helpers like authorize, policy_scope, and policy to enforce those rules cleanly and consistently. ... -
16
Sinatra
Classy web-development dressed in a DSL
Sinatra is a minimalist Ruby web framework that focuses on simplicity and flexibility, letting developers define web applications in just a few lines of code. Its DSL maps routes directly to Ruby blocks, making it straightforward to build APIs, small services, and quick prototypes without the overhead of full-stack frameworks like Rails. Despite its simplicity, Sinatra supports middleware, templates, sessions, filters, and helpers, so it can grow with more complex requirements. ... -
17
Gradle Ospackage Plugin
Gradle plugin for constructing linux packages
The Gradle OS Package plugin builds native Linux packages (RPM and DEB) directly from your project, enabling repeatable, policy-compliant server distributions. It lets you define metadata like package name, version, dependencies, and maintainers, then map files from your build into filesystem locations with ownership and permissions. Pre-, post-install, and removal scripts are supported so services can be registered, caches warmed, or config migrated during upgrades. The plugin fits naturally in multi-module builds and CI, producing artifacts that ops teams can promote through repositories like APT or YUM. ... -
18
Gradle Lint Plugin
Linter tool for identifying and reporting on patterns of misuse
The Gradle Lint Plugin is a static analysis tool for Gradle build scripts (written in Groovy) that finds patterns of misuse, deprecated constructs, and opportunities for optimization in build configurations. It functions analogous to ESLint in the JavaScript ecosystem: you define rules, apply them across the build scripts, and get warnings or errors when code deviates from best practices. It is particularly useful for maintaining consistency across large, multi-module projects or monorepos, helping teams avoid build anti-patterns, unused dependencies, or misconfigurations. The plugin supports custom rules and can even automatically fix certain violations (e.g. unused dependencies) via a fixGradleLint task. ... -
19
Inferable
Inferable is a developer-first AI automation platform
Create your first AI automation in 60 seconds. Inferable seamlessly integrates with your existing codebase and infrastructure, allowing you to create powerful AI automation without compromising on control or security. Works with your existing codebase. Integrates with your existing services via opt-in. Enforce determinism through source code. Create and manage automation programmatically. You own the computer, in your own infrastructure. Inferable comes out of the box with delightful DX to... -
20
Tarsier
Vision utilities for web interaction agents
...Tarsier visually tags interactable elements on a page via brackets + an ID e.g. [23]. In doing this, we provide a mapping between elements and IDs for an LLM to take actions upon (e.g. CLICK [23]). We define interactable elements as buttons, links, or input fields that are visible on the page; Tarsier can also tag all textual elements if you pass tag_text_elements=True. Furthermore, we've developed an OCR algorithm to convert a page screenshot into a whitespace-structured string (almost like ASCII art) that an LLM even without vision can understand. ... -
21
Backpex
Backpex is a highly customizable administration panel for Phoenix Live
Backpex is a highly customizable administration panel for Phoenix LiveView applications. Quickly create beautiful CRUD views and more for your existing data via configurable LiveResources. Easily extendable with your own layouts, views, field types, filters, and more. Backpex comes with a rich set of features to quickly build a beautiful backoffice application. Visit the docs (coming soon) to learn about all the different possibilities. Easily add value metrics (like sums or averages) to... -
22
timoni
Timoni is a package manager for Kubernetes, powered by CUE
Timoni is a package manager for Kubernetes, powered by CUE and inspired by Helm. The Timoni project strives to improve the UX of authoring Kubernetes configs. Instead of mingling Go templates with YAML like Helm, or layering YAML on top of each-other like Kustomize, Timoni relies on cuelang's type safety, code generation and data validation features to offer a better experience of creating, packaging and delivering apps to Kubernetes. Note that Timoni in under active development and is still... -
23
LossFunctions.jl
Julia package of loss functions for machine learning
...Furthermore, we expose methods to compute their values, derivatives, and second derivatives for single observations as well as arbitrarily sized arrays of observations. In the case of arrays a user additionally has the ability to define if and how element-wise results are averaged or summed over. -
24
Measurements.jl
Error propagation calculator and library for physical measurements
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration. Physical measures are typically reported with an error, a quantification of the uncertainty of the accuracy of the measurement. Whenever you perform mathematical operations involving these quantities you have also to propagate the uncertainty, so that the resulting number will also have... -
25
gusty
Making DAG construction easier
...A directory of task files is instantly rendered into a DAG by passing a file path to gusty's create_dag function. gusty also manages dependencies (within one DAG) and external dependencies (dependencies on tasks in other DAGs) for each task file you define. All you have to do is provide a list of dependencies or external_dependencies inside of a task file, and gusty will automatically set each task's dependencies and create external task sensors for any external dependencies listed. gusty works with both Airflow 1.x and Airflow 2.x, and has even more features, all of which aim to make the creation, management, and iteration of DAGs more fluid, so that you can intuitively design your DAG and build your tasks.
