Search Results for "data capture framework" - Page 25
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Showing 2706 open source projects for "data capture framework"
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Mongoose for Nest
Mongoose module for Nest framework (node.js)
NestJS Mongoose is a library that provides Mongoose integration with NestJS, enabling seamless database connectivity for MongoDB within NestJS applications. -
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Agently
AI Agent Application Development Framework
Build AI agent native application in very little code. Easy to interact with AI agents in code using structure data and chained-calls syntax. Enhance AI Agent using plugins instead of rebuilding a whole new agent. Agently is a development framework that helps developers build AI agent native applications really fast. You can use and build AI agents in your code in an extremely simple way. -
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Browser Use
Make websites accessible for AI agents
Browser Use is an AI-powered browser automation framework designed to let agents interact with websites just like humans do. It enables developers and AI systems to perform complex online tasks such as form filling, data extraction, and navigation through natural language instructions. Built with Python and compatible with modern LLMs, it integrates seamlessly with tools like ChatBrowserUse, Google Gemini, and Anthropic models. -
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Haystack
Haystack is an open source NLP framework to interact with your data
Apply the latest NLP technology to your own data with the use of Haystack's pipeline architecture. Implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications. Evaluate components and fine-tune models. Ask questions in natural language and find granular answers in your documents using the latest QA models with the help of Haystack pipelines. Perform semantic search and retrieve ranked documents according to meaning,... -
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Vedana
Open source multi-agent RAG over a knowledge graph
Vedana is an open-source multi-agent RAG system built around a typed knowledge graph. It is designed for questions that require structure, completeness, and traceability instead of simple text similarity. The system lets agents navigate data step by step through Cypher queries, vector search, document lookup, and source verification. Its architecture combines a knowledge graph, pgvector-based embeddings, incremental ETL, and a backoffice interface for chat, metrics, prompt tuning, and data loading. It also includes JIMS, a framework for persistent conversational agents with typed events and pluggable pipelines. ... -
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MCiSEE
All of Minecraft, EASILY get Minecraft resources
MCiSEE is an open-source project designed to integrate Minecraft with computer vision and artificial intelligence experiments. The system focuses on capturing visual information from the game environment and exposing it to external programs for analysis or machine learning research. By converting gameplay data into visual or structured formats, MCiSEE enables researchers and developers to build AI agents capable of interacting with the Minecraft environment. The project can be used as a... -
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RecAI
Bridging LLM and Recommender System
RecAI is an open-source research platform developed by Microsoft to explore how large language models can be integrated into modern recommender systems. Traditional recommender systems rely on structured behavioral data such as user interactions and item embeddings, while large language models excel at understanding language and reasoning about user preferences. RecAI aims to bridge these two domains by creating architectures and training methods that allow LLMs to function as intelligent... -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data... -
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Mobility
Pluggable Ruby translation framework
Mobility is a gem for storing and retrieving translations as attributes on a class. These translations could be the content of blog posts, captions on images, tags on bookmarks, or anything else you might want to store in different languages. Storage of translations is handled by customizable "backends" which encapsulate different storage strategies. The default way to store translations is to put them all in a set of two shared tables, but many alternatives are also supported, including... -
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Open Semantic Search
Open source semantic search and text analytics for large document sets
...It provides an integrated search server combined with a document processing pipeline that supports crawling, text extraction, and automated analysis of content from many different sources. Open Semantic Search includes an ETL framework that can ingest documents, process them through analysis steps, and enrich the data with extracted information such as named entities and metadata. It also supports optical character recognition to extract text from images and scanned documents, including images embedded inside PDF files. It integrates text mining and analytics capabilities that allow users to examine relationships, topics, and structured data within document collections. -
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Ember CP Validations
Ember computed property based validations
Ember computed property-based validations. An EmberJS validation framework that is completely and utterly computed property based. No observers were used nor harmed while developing and testing this addon. Lazily computed validations. Ruby on rails inspired validators. Support for Ember Data Models, Objects, Components, Services, etc. Support for nested models and objects. Synchronous and asynchronous support. -
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HRM-Text
1B text generation model based on the HRM architecture
HRM-Text is a one-billion-parameter text generation model and pretraining framework based on the Hierarchical Reasoning Model architecture. It is designed to make foundation model pretraining more accessible by reducing compute and data requirements compared with traditional scaling-heavy approaches. The system combines hierarchical recurrent design, task-completion strengthening, and latent-space reasoning. Its training stack includes PrefixLM sequence packing, FlashAttention 3 kernels, PyTorch FSDP2, evaluation scripts, and checkpoint conversion tools. ... -
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Ollamac
Mac app for Ollama
...Because the models run locally, the system enables private AI workflows without sending data to external APIs or cloud services. Ollamac supports different Ollama models and provides features designed to improve usability such as syntax highlighting and configurable settings. -
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MCP Apps
Official repo for spec & SDK of MCP Apps protocol
MCP Apps is an extension ecosystem for a context-driven AI application protocol that lets developers build modular, interoperable apps that work together in shared model environments. The project defines standards, interfaces, and reusable components so different application modules can communicate context, state, and user intent reliably while preserving privacy and user control. Designed to work with large language models and agent systems, Ext-Apps lets developers create plugins that... -
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GoogleSQL
GoogleSQL (formerly ZetaSQL) - Analyzer Framework for SQL
GoogleSQL is a reusable SQL language framework designed to standardize how SQL is written and analyzed across different systems. Previously called ZetaSQL, it defines core elements such as syntax, data models, type systems, and query semantics. Rather than executing queries, GoogleSQL focuses on parsing and validating SQL statements. It ensures consistent behavior for tasks like name resolution, type validation, and automatic casting. -
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Piral
Framework for next generation web apps using micro frontends
Build highly modular applications fully flexible for large-scale portal solutions. Adjusted to your development needs, not the other way around. Piral is a framework for next-generation portal applications. It allows you to build web apps that follow the micro frontends architecture in basically no time. Piral lets you use your standard tooling to be as efficient as possible. Perfect for distributed systems running in the cloud. No proprietary software hijacking the security of your app.... -
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Payload
Free and Open-source Headless CMS and Application Framework
Payload has, hands-down, the best developer experience out of any headless CMS. Build whatever you need, however you want, and never hit a functionality roadblock. Payload is the go-to headless CMS for websites, SaaS apps, native apps, and anything else you need to build. Power any website, from enterprise to personal portfolio with Payload as a headless CMS. Its powerful version system and layout-building functionality unlocks the best CMS experience for your editors on the market. Payload... -
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QRCoder
A pure C# Open Source QR Code implementation
QRCoder is a simple library, written in C#.NET, which enables you to create QR codes. It hasn't any dependencies on other libraries and is available as .NET Framework and .NET Core PCL version on NuGet. Feel free to grab-up/fork the project and make it better! QRCoder is a .NET library, completely written in C#, which enables you to generate QR Codes as defined by ISO/IEC 18004. The main target of the QRCoder library is to deliver a small and easy-to-use solution, which has no dependencies... -
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jev-trader
One AI trade decision every Monad block. Jev on Kuru MON-USDC
...It watches the Kuru MON-USDC order book and normally evaluates market state roughly every few hundred milliseconds. Each completed decision can place a post-only limit order while replacing the previously resting order. The design aims to provide liquidity and capture the spread rather than immediately crossing the book. A dry-run mode uses real market data with simulated fills when no private key is configured. Server endpoints expose snapshots, history, fills, positions, costs, and block events through Server-Sent Events. A web dashboard can visualize the strategy and its ongoing results. -
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Argus
Python toolkit for OSINT and reconnaissance with 135+ modules
Argus is a Python-based open source toolkit designed to simplify information gathering and reconnaissance tasks in cybersecurity. It provides an integrated command-line environment that consolidates numerous reconnaissance utilities into a single framework. The tool enables users to collect data about networks, domains, web applications, and infrastructure in an organized and efficient manner. Argus includes a modular architecture with more than 130 modules that support activities such as DNS analysis, port scanning, web application inspection, and threat intelligence lookups. Its interactive CLI allows users to browse available modules, configure targets, run scans, and review results from within a unified interface. ... -
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.NET Agent Skills
Repository for skills to assist AI coding agents with .NET and C#
.NET Agent Skills is Microsoft’s curated skill repository for helping AI coding agents work more accurately with .NET and C# projects. It provides structured knowledge packs and custom agents that guide coding assistants through common development, debugging, migration, build, package, and performance tasks. The repository covers core .NET work as well as more specialized areas such as Entity Framework, MSBuild, NuGet, .NET upgrades, .NET MAUI, and AI-related .NET development. Its purpose is... -
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Passmark
The open-source Playwright library for AI browser regression testing
The Passmark project is an open-source AI-powered regression testing framework built on top of Playwright that enables developers to write end-to-end browser tests using natural language instead of traditional scripting. It is designed to simplify and accelerate testing workflows by allowing AI models to interpret human-readable instructions and translate them into executable browser actions. One of its defining features is a cache-first execution model, where AI is used initially to... -
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AntV Infographic
Declarative engine for generating AI-powered infographic visuals
AntV Infographic is a declarative infographic generation and rendering framework designed to transform structured data into visually rich infographic outputs. It provides a custom domain-specific language that allows developers and AI systems to describe infographic layouts in a concise and human-readable syntax. It focuses on simplifying data storytelling by enabling fast creation of professional-quality visuals without requiring complex design workflows. -
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DriveLM
Driving with Graph Visual Question Answering
...The system includes DriveLM-Data, a dataset built on driving environments such as nuScenes and CARLA, where human-written reasoning steps connect different layers of driving tasks. This design allows models to learn relationships between objects, behaviors, and navigation decisions through graph-structured logic. -
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Kapitan
Generic templated configuration management for Kubernetes
...Kapitan aims to be your one-stop configuration management solution to help you manage the ever-growing complexity of your configurations by enabling Platform Engineering and GitOps workflows. It streamlines complex deployments across heterogeneous environments while providing a secure and adaptable framework for managing infrastructure configurations. Kapitan's inventory-driven model, powerful templating capabilities, and native secret management tools offer granular control, fostering consistency, reducing errors, and safeguarding sensitive data. Empower your team to make changes to your infrastructure whilst maintaining full control, with a GitOps approach and full transparency.
