Search Results for "arrow"

...ROAPI automatically spins up read-only APIs and query frontends for slowly moving datasets without requiring you to write a single line of code. It builds on top of Apache Arrow and Datafusion. Query frontends to translate SQL, GraphQL and REST API queries into Datafusion plans. Datafusion for query plan execution. Data layer to load datasets from a variety of sources and formats with automatic schema inference. Response encoding layer to serialize intermediate Arrow record batch into various formats requested by the client. ...

...Spice connects, fuses, and delivers data to applications, machine-learning models, and AI backends, functioning as an application-specific, tier-optimized Database CDN. The Spice runtime, written in Rust, is built-with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB. Spice makes it easy and fast to query data from one or more sources using SQL. You can co-locate a managed dataset with your application or machine learning model, and accelerate it with Arrow in-memory, SQLite/DuckDB, or with attached PostgreSQL for fast, high-concurrency, low-latency queries. ...

Vortex is a high-performance toolkit designed for working with compressed Apache Arrow arrays, providing functionality for in-memory, on-disk, and over-the-wire data handling. It aims to be an advanced successor to Apache Parquet, offering dramatically faster random access reads and scans, while maintaining similar compression ratios. Vortex's modular design allows for extensibility, enabling developers to implement custom encodings for efficient data management, particularly for large-scale columnar datasets.

Polars is a high-performance, multi-language DataFrame library built in Rust using Apache Arrow. It delivers blazing-fast, vectorized, and parallel data manipulation with both eager and lazy execution, making it an excellent tool for data processing in Python, Rust, Node.js, R, and SQL contexts.

Lance is a columnar data format that is easy and fast to version, query and train on. It’s designed to be used with images, videos, 3D point clouds, audio and of course tabular data. It supports any POSIX file systems, and cloud storage like AWS S3 and Google Cloud Storage.

...Broot is fast and doesn't block (any keystroke interrupts the current search to start the next one). Never lose track of file hierarchy while you search. Broot tries to select the most relevant file. You can still go from one match to another one using tab or arrow keys. You may also search with a regular expression. To do this, add a / before the pattern. You may also apply logical operators or combine patterns, for example searching test in all files except json ones could be !/json$/&c/test and searching carg both in file names and file contents would be carg|c/carg.

...It is designed for creators & presenters who need a clean reading surface without sacrificing advanced features like native voice tracking via local Vosk models and app-wide voice commands. It features five playback styles (highlight, scroll, line, arrow, and voice tracking), local-first privacy, and a built-in script editor. Version 1.9.0 introduces WebRTC-powered real-time collaborative editing, allowing an unlimited number of guests to join and edit scripts live across devices. It also includes an invisible always-on-top overlay for Screenshare bypass, remote script delivery via quick-connect QR links, and optional Groq-powered AI drafting. ...