Search Results for "define" - Page 2
Sort By:
627 projects for "define" with 1 filter applied:
-
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
Motia
Multi-Language Backend Framework that unifies APIs
...It provides a unified development philosophy that seamlessly bridges different backend patterns (queues, event streams, scheduled jobs) while offering integrated tools for telemetry, logging, metrics, and tracing to help teams maintain high visibility into production workloads. Motia is built with extensibility in mind, allowing engineers to define complex workflows and AI-driven processes without sacrificing consistency or scalability. Its modular architecture supports integration with existing systems, plug-in architectures, and dynamic environments, making it suitable for building microservices, enterprise applications, or large automated systems. -
2
Typegoose
Define Mongoose models using TypeScript classes
A library that enables developers to use TypeScript classes as MongoDB models, bridging TypeScript with Mongoose for type-safe MongoDB operations. -
3
Argo Workflows
Workflow engine for Kubernetes
Argo Workflows is an open source container-native workflow engine for orchestrating parallel jobs on Kubernetes. Argo Workflows is implemented as a Kubernetes CRD (Custom Resource Definition). Define workflows where each step in the workflow is a container. Model multi-step workflows as a sequence of tasks or capture the dependencies between tasks using a directed acyclic graph (DAG). Easily run compute intensive jobs for machine learning or data processing in a fraction of the time using Argo Workflows on Kubernetes. Run CI/CD pipelines natively on Kubernetes without configuring complex software development products. ... -
4
Manifolds.jl
Manifolds.jl provides a library of manifolds
Package Manifolds.jl aims to provide both a unified interface to define and use manifolds as well as a library of manifolds to use for your projects. This package is mostly stable, see #438 for planned upcoming changes. The implemented manifolds are accompanied by their mathematical formulae. The manifolds are implemented using the interface for manifolds given in ManifoldsBase.jl. You can use that interface to implement your own software on manifolds, such that all manifolds based on that interface can be used within your code. -
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.
-
5
Zingg
Scalable master data management and identity resolution
...The project is designed for data engineering and analytics teams working on customer 360, supplier 360, deduplication, fuzzy matching, data quality, and golden record workflows. Zingg runs on Apache Spark and can scale to large data lake, warehouse, and cloud platform environments. It supports configuration-driven pipelines where users define input data, match fields, training data, models, and output destinations. Its main value is helping organizations unify fragmented records into reliable entity clusters while keeping the process trainable, explainable, and repeatable. -
6
Karpathy Skills
A single CLAUDE.md file to improve Claude Code behavior
...The project focuses on reducing wrong assumptions, hidden confusion, overengineered solutions, and unnecessary edits outside the requested scope. Its principles encourage the agent to think before coding, prefer simple implementations, make surgical changes, and define verifiable success criteria. It can be installed as a Claude Code plugin or copied directly into a project as reusable instructions. Its main value is not automation, but behavioral alignment that helps coding agents produce cleaner, smaller, and more deliberate changes. -
7
Hypothesis
The property-based testing library for Python
Hypothesis is a powerful library for property-based testing in Python. Instead of writing specific test cases, users define properties and Hypothesis generates random inputs to uncover edge cases and bugs. It integrates with unittest and pytest, shrinking failing examples to minimal reproducible cases. Widely adopted in production systems, Hypothesis boosts code reliability by exploring input spaces far beyond manually crafted tests. -
8
Tracearr
Real-time monitoring for Plex, Jellyfin, and Emby servers
...By monitoring requests in real time, the system can differentiate between unique users, bots, and unauthorized clients, helping administrators tighten access control and improve server performance. The project features a rule system that lets users define alerts and actions based on specific access patterns or thresholds, which is useful for proactive monitoring and automated responses to unusual activity. It also supports mobile interfaces and responsive UI elements so server operators can check access metrics on the go. -
9
Pyparsing
Python library for creating PEG parsers
pyparsing is a Python library that facilitates the creation of parsers using a parsing expression grammar (PEG) approach. It allows developers to construct grammars directly in Python code, offering an alternative to traditional parsing methods. -
$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.
-
10
ArkType
TypeScript's 1:1 validator, optimized from editor to runtime
ArkType is a high-performance runtime type validation library for TypeScript. It offers a 1:1 validator optimized from editor to runtime, enabling developers to define and enforce complex type constraints seamlessly. -
11
Valibot
Modular and type safe schema library for validating structural data
Valibot is a modular and type-safe schema library for validating structural data. It provides developers with tools to define and enforce data schemas, ensuring data integrity and consistency across applications. -
12
Agenda
Lightweight job scheduling for Node.js
A light-weight job scheduling library for Node.js. -
13
Laravel Markable
Integrate likes, bookmarks, favorites, reactions and custom made marks
This package allows you to easily add the markable feature to your application, as for example likes, bookmarks, favorites, and so on. Integrate likes, bookmarks, favorites, reactions, and custom-made marks into your application. -
14
konform
Portable validations for Kotlin
Portable validations for Kotlin. Kotest provides various matches for use with Konform. They can be used in your tests to assert that a given object is validated successfully or fails validation with specific error messages. -
15
io-ts
Runtime type system for IO decoding/encoding
io-ts is a TypeScript runtime type system for decoding, validating, and encoding data at application boundaries. It solves a common TypeScript limitation: static types disappear at runtime, but external inputs still need to be checked safely. The library lets developers define codecs that represent both runtime validation logic and static TypeScript types. This approach is especially useful for APIs, configuration files, JSON payloads, database results, and any data that enters a program from an unknown source. io-ts integrates closely with functional programming patterns and the fp-ts ecosystem. Its main value is helping TypeScript applications keep runtime data validation aligned with compile-time type inference. -
16
EmDash
EmDash is a full-stack TypeScript CMS based on Astro
EmDash is a modern content management and editing system designed to provide a flexible and developer-friendly environment for creating, managing, and publishing structured content. It emphasizes modularity and extensibility, allowing developers to define custom content types, editing experiences, and workflows tailored to their needs. The system likely includes a rich editing interface, enabling users to create complex documents with structured data and formatting. It separates content from presentation, making it easier to reuse and distribute content across different platforms. ... -
17
my-tv-0
My TV·〇 TV video playback device can customize the TV source
my-tv-0 is an open-source television streaming application that allows users to play video content from customizable sources, offering a flexible alternative to traditional IPTV solutions. The software supports multiple configuration formats, enabling users to define their own channel lists and video streams using files such as M3U, JSON, or TXT. It is designed to run on Android-based devices, including TV boxes and smart TVs, providing a simple interface for browsing and switching between channels. The application emphasizes user control, allowing remote configuration through QR codes or local network endpoints, which simplifies setup and management. ... -
18
Docker Agent
AI Agent Builder and Runtime by Docker Engineering
Docker Agent is an open-source multi-agent runtime developed by Docker that enables developers to define, run, and orchestrate AI agents using simple declarative configuration files instead of traditional code-heavy approaches. It introduces a YAML-based configuration model where users describe agent behavior, tools, models, and interaction logic in a single file, significantly reducing complexity in building AI systems. The runtime supports multi-agent collaboration, allowing specialized agents to delegate tasks to each other and operate as coordinated systems rather than isolated units. ... -
19
YourInfo
Real-time browser fingerprinting demo with cross-browser tracking
...The platform prioritizes privacy by focusing on local storage or user-controlled databases, ensuring sensitive data stays under the user’s control rather than in third-party servers. Users can define types of information, tag entries for quick categorization, and perform intuitive searches when they need to recall something like a phone number, address, or secret detail. It also integrates with conversational models so that users can query “What’s my friend’s address?” or “Remind me of my travel dates” in plain language, and the system responds using secure data access while respecting permission boundaries. -
20
AI-Crawler
Crawl a website starting from a URL, find relevant pages
...Unlike traditional web scrapers that rely on static selectors and manual scripting, it uses AI to dynamically identify and prioritize pages based on user intent, making it more flexible and resilient to changes in website structure. Users can define their data requirements in plain English, and the system will interpret those instructions to crawl a domain and extract structured data. The tool supports output formats such as JSON and Markdown, and it can generate or accept schemas to ensure that extracted data is structured according to application needs. It is designed as a low-code solution, reducing the complexity of building and maintaining custom scraping pipelines. -
21
Semantix
Non-Pydantic, Non-JSON Schema, efficient AutoPrompting
Semantix empowers developers to infuse meaning into their code through enhanced variable typing (semantic typing). By leveraging the power of large language models (LLMs) behind the scenes, Semantix transforms ordinary functions into intelligent, context-aware operations without explicit LLM calls. -
22
Laravel Chunk Upload
The basic implementation for chunk upload with multiple providers
Laravel Chunk Upload simplifies chunked uploads with support for multiple JavaScript libraries atop Laravel's file upload system, designed with a minimal memory footprint. Features include cross-domain request support, automatic cleaning, and intuitive usage. -
23
TypeChat
Library for building type-safe natural language interfaces with LLMs
...TypeChat addresses these challenges by replacing traditional prompt engineering with a concept called schema engineering. Instead of writing complex prompts, developers define types that represent the intents supported by their applications. It then uses those type definitions to construct prompts for language models and translate user input into structured data that follows the defined schema. -
24
uAssets
Filter lists for uBlock Origin & uBlock Origin Lite
uAssets is a companion repository for the uBlock Origin content blocker that contains filter lists, rules, and configuration data used to block advertisements, trackers, and unwanted web content across the internet. It acts as a continuously updated database of filtering rules that define how uBlock Origin interacts with web pages, enabling it to remove intrusive elements and improve user privacy. The repository includes domain-based filters, cosmetic rules, scriptlet injections, and exception handling to ensure both effectiveness and compatibility with websites. It is maintained by a team of contributors who regularly update filters to respond to changes in advertising techniques and tracking mechanisms. ... -
25
Testcontainers node
Supports tests, providing lightweight, throwaway instances of database
Testcontainers is an open source library for providing throwaway, lightweight instances of databases, message brokers, web browsers, or just about anything that can run in a Docker container. No more need for mocks or complicated environment configurations. Define your test dependencies as code, then simply run your tests and containers will be created and then deleted. With support for many languages and testing frameworks, all you need is Docker. Use a containerized instance of your database to test your data access layer code for complete compatibility, without requiring a complex setup on developer machines. ...
