Search Results for "data capture framework" - Page 11
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Showing 2278 open source projects for "data capture framework"
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pywebview
Build GUI for your Python program with JavaScript, HTML, and CSS
pywebview is a lightweight cross-platform wrapper around a webview component that allows to display HTML content in its own native GUI window. It gives you power of web technologies in your desktop application, hiding the fact that GUI is browser based. You can use pywebview either with a lightweight web framework like Flask or Bottle or on its own with a two way bridge between Python and DOM. pywebview uses native GUI for creating a web component window: WinForms on Windows, Cocoa on macOS... -
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AWS Encryption SDK for Java
AWS Encryption SDK
The AWS Encryption SDK is a client-side encryption library designed to make it easy for everyone to encrypt and decrypt data using industry standards and best practices. It enables you to focus on the core functionality of your application, rather than on how to best encrypt and decrypt your data. The AWS Encryption SDK is provided free of charge under the Apache 2.0 license. With the AWS Encryption SDK, you define a master key provider (Java and Python) or a keyring (C, C#/.NET, and... -
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skfolio
Python library for portfolio optimization built on top of scikit-learn
skfolio is a Python library designed for portfolio optimization and financial risk management that integrates closely with the scikit-learn ecosystem. The project provides a unified machine learning-style framework for building, validating, and comparing portfolio allocation strategies using financial data. By following the familiar scikit-learn API design, the library allows quantitative researchers and developers to apply techniques such as model selection, cross-validation, and hyperparameter tuning to portfolio construction workflows. ... -
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MLJ
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization. -
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ALVR - Air Light VR
Stream VR games from your PC to your headset via Wi-Fi
ALVR (Air Light VR) is an open-source system that enables wireless virtual reality streaming by transmitting VR content from a PC to a standalone headset over a network connection. It allows users to run PC-based VR applications while using devices such as standalone headsets, effectively bridging the gap between high-performance desktop VR and portable hardware. The system works by encoding video output from the PC, streaming it over Wi-Fi, and decoding it on the headset in real time, while... -
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Astro
The web framework for content-driven websites
...Astro improves website performance by rendering components on the server, sending lightweight HTML to the browser with zero unnecessary JavaScript overhead. Astro was designed to work with your content, no matter where it lives. Load data from your file system, external API, or your favorite CMS. Extend Astro with your favorite tools. Bring your own JavaScript UI components, CSS libraries, themes, integrations, and more. Islands optimize your website like no other web framework can. Leverage Astro's unique page load performance to improve conversion rates, Core Web Vitals, and SEO. ... -
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Graphene
GraphQL in Python Made Easy
Graphene is a Python library for building GraphQL APIs fast and easily, using a code-first approach. Instead of writing GraphQL Schema Definition Langauge (SDL), Python code is written to describe the data provided by your server. Graphene helps you use GraphQL effortlessly in Python, but what is GraphQL? GraphQL is a data query language developed internally by Facebook as an alternative to REST and ad-hoc webservice architectures. With Graphene you have all the tools you need to... -
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Dagger.jl
A framework for out-of-core and parallel execution
Dagger.jl is a framework for out-of-core and parallel computing in Julia that allows users to construct and execute dynamic task graphs. It is designed for large-scale, distributed, and memory-efficient computations. Dagger supports lazy evaluation and scheduling across multiple threads or machines, enabling high-performance workflows for data processing, scientific computing, and machine learning. -
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AGI
The first distributed AGI system
...The project typically explores concepts such as agent orchestration, memory systems, task decomposition, and decision-making loops, enabling the development of more generalized and adaptive AI behaviors. It is designed to be extensible, allowing developers to plug in different models, tools, and data sources to enhance agent performance. The framework encourages experimentation with AGI-like architectures, making it useful for researchers and developers interested in advancing beyond narrow AI applications. -
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Argilla
The open-source data curation platform for LLMs
...In fact, you can use and combine your preferred libraries without implementing any specific interface. Most annotation tools treat data collection as a one-off activity at the beginning of each project. In real-world projects, data collection is a key activity of the iterative process of ML model development. Once a model goes into production, you want to monitor and analyze its predictions, and collect more data to improve your model over time. Argilla is designed to close this gap, enabling you to iterate as much as you need. -
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Nuxt
The Intuitive Vue Framework
Nuxt is a free, open‑source framework built on Vue.js that streamlines the development of type‑safe, high-performance full‑stack web applications and static sites, with an emphasis on developer experience, modularity, and extensibility. Simple, intuitive and powerful, Nuxt lets you write Vue components in a way that makes sense. Every repetitive task is automated, so you can focus on writing your full-stack Vue application with confidence. We highly recommend you take a look at the Nuxt... -
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easyquant
Stock quantification framework to support market acquisition
easyquant is a Python quantitative-trading framework built on top of easytrader for execution and easyquotation for market data. Its event-driven architecture is inspired by vn.py and routes market updates into user-defined strategies. The default configuration can stream broad Sina market data at roughly one-second intervals. Alternative quotation sources can be substituted, including selected depth and fund data supported by easyquotation. -
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SDGym
Benchmarking synthetic data generation methods
The Synthetic Data Gym (SDGym) is a benchmarking framework for modeling and generating synthetic data. Measure performance and memory usage across different synthetic data modeling techniques – classical statistics, deep learning and more! The SDGym library integrates with the Synthetic Data Vault ecosystem. You can use any of its synthesizers, datasets or metrics for benchmarking. -
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Radare2
UNIX-like reverse engineering framework and command-line toolset
A free/libre toolchain for easing several low-level tasks like forensics, software reverse engineering, exploiting, and debugging. It is composed by a bunch of libraries (which are extended with plugins) and programs that can be automated with almost any programming language. It is recommended to install it from git, alternatively, you can pick the last release (every 6 weeks) from Github. Batch, Commandline, visual, and panels interactive modes. Embedded webserver with js scripting and... -
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Prisma
Next-generation ORM for Node.js and TypeScript
Prisma helps app developers build faster and make fewer errors with an open source ORM for PostgreSQL, MySQL and SQLite. Central to Prisma is the schema, a declarative way to define your app's data models and their relations that's human-readable. And you don't have to painstakingly create it from scratch if you already have a database - prisma introspect takes care of that. Prisma Client is a query builder that composes the way you think and gets auto-generated from the Prisma schema with... -
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Hukum
Displays Github Action progress in the terminal
Hukum is an API framework for Indian legal data, providing structured access to legal documents, court rulings, and government regulations. It helps developers build legal research tools and applications. -
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InvertibleNetworks.jl
A Julia framework for invertible neural networks
Building blocks for invertible neural networks in the Julia programming language. -
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Exposed
Kotlin SQL framework
Welcome to Exposed, an ORM framework for Kotlin. Exposed offers two levels of database access: typesafe SQL wrapping DSL and lightweight data access objects. Our official mascot is Cuttlefish, which is best known for its outstanding mimicry abilities letting it blend seamlessly in any environment. Just like our mascot, Exposed can mimic a variety of database engines and help you build database applications without hard dependencies on any specific database engine, and switch between them with very little or no changes in your code. ... -
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gain
Asyncio-based Python framework for building fast web crawling spiders
Gain is a Python web crawling framework designed to simplify the process of building efficient and scalable web scrapers. It is built on top of asynchronous technologies such as asyncio, aiohttp, and uvloop to support high-performance crawling with concurrent network requests. It provides a structured framework for creating spiders that can navigate websites, extract structured data, and process the collected results. -
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Aix-DB
Based on the LangChain/LangGraph framework
Aix-DB is an open-source intelligent data analysis platform that combines large language models with database technologies to enable conversational data exploration. The system is designed as a ChatBI solution that allows users to query datasets using natural language and receive structured insights, charts, and visualizations automatically. Built on frameworks such as LangChain and LangGraph, Aix-DB integrates retrieval-augmented generation and Text-to-SQL capabilities to convert user... -
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Superduper
Superduper: Integrate AI models and machine learning workflows
Superduper is a Python-based framework for building end-2-end AI-data workflows and applications on your own data, integrating with major databases. It supports the latest technologies and techniques, including LLMs, vector-search, RAG, and multimodality as well as classical AI and ML paradigms. Developers may leverage Superduper by building compositional and declarative objects that out-source the details of deployment, orchestration versioning, and more to the Superduper engine. ... -
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GraphQL-Go-Tools
GraphQL Router / API Gateway framework written in Golang
graphql-go-tools is a high-performance GraphQL Router and API Gateway framework written in Go. It focuses on correctness, extensibility, and performance, supporting features like Federation v1 & v2, subscriptions, and more. -
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Chainlink
node of the decentralized oracle network
...Build on a flexible framework that can retrieve data from any API, connect with existing systems, and integrate with any current or future blockchain. Integrate pre-built, time-tested oracle solutions that already secure tens of billions in smart contract value for market-leading decentralized applications. Use a decentralized network of Chainlink Automation nodes to automate contracts, mitigating risk of manual interventions and centralized servers. -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. ... -
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Sail
A drop-in Apache Spark replacement written in Rust
Sail is an open-source distributed computation framework designed to unify batch processing, stream processing, and AI workloads into a single, high-performance engine. It is built entirely in Rust, eliminating JVM overhead and enabling predictable performance, fast startup times, and improved memory safety compared to traditional big data frameworks. Sail is compatible with the Spark Connect protocol, which means existing Spark SQL and DataFrame workloads can run without code changes, making adoption seamless for teams already using Spark-based pipelines. ...
