Search Results for "batch text processing"

Arroyo is a distributed stream processing engine written in Rust, designed to efficiently perform stateful computations on streams of data. Unlike traditional batch processing, streaming engines can operate on both bounded and unbounded sources, emitting results as soon as they are available.

Scanopy is a powerful multi-modal data capture and analysis toolkit that enables users to collect, process, and visualize structured and unstructured information from a variety of sources in a flexible pipeline. It is built to handle complex scanning tasks — such as OCR, document analysis, audio transcription, network data capture, and image extraction — while providing unified APIs and workflows that make managing heterogeneous data sources seamless. Developers can compose custom pipelines...

IronCalc is a new, modern, work-in-progress spreadsheet engine and set of tools to work with spreadsheets in diverse settings. IronCalc is a lightweight, open-source computational engine designed for performing mathematical operations, formula calculations, and data-driven tasks.

Mindwtr: The Privacy-First GTD System Mindwtr is a Getting Things Done (GTD) productivity tool designed for "Mind Like Water." It runs completely offline—no accounts, no tracking, and no subscriptions. The Core GTD Workflow Capture: Instantly offload thoughts to your Inbox. Clarify: Process tasks rapidly with the built-in "2-Minute Rule" timer. Organize: Sort tasks by Contexts (@work, @home), Areas, and Projects. Reflect: Keep your system trustworthy with a guided Weekly...

Amadeus is a high-performance, distributed data processing framework written in Rust, designed to offer an ergonomic and safe alternative to tools like Apache Spark. It provides both streaming and batch capabilities, allowing users to work with real-time and historical data at scale. Thanks to Rust’s memory safety and zero-cost abstractions, Amadeus delivers performance gains while reducing the complexity and bugs common in large-scale data pipelines.