Python toolbox to process large geospatial vector files faster.

R package for spatial data handling https://rspatial.github.io/terra/reference/terra-package.html

A high-performance observability data pipeline.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

📊 Streamline commit information management to reduce DB calls, lower latency, and minimize infrastructure needs for efficient development.

A lightweight 2D graphics library for modern GPUs, delivering high-performance text, image, and vector rendering across major platforms.

🔄 Reverse multi-dimensional arrays with ease using this simple and efficient JavaScript library, enhancing your numerical computation experience.

🔄 Shift elements in n-dimensional arrays with ease, enhancing your numerical and scientific computing capabilities in JavaScript.

🚀 Build innovative software solutions with a collaborative team of students focused on technology, learning, and problem-solving.

🛠️ Create and manipulate multidimensional arrays with ease using ndarray-pop, a lightweight library for efficient numerical computations in JavaScript.

📊 Create and manipulate N-dimensional arrays with ease using ndarray-base-pop, a core utility for numerical and scientific computing in JavaScript.

AI + Data, online. https://vespa.ai

📊 Calculate the base gindex of a row in a matrix efficiently, supporting numerical and scientific computation in JavaScript and Node.js.

🌟 Insert elements at specific positions in arrays effortlessly with this simple JavaScript utility, enhancing your data manipulation capabilities.

🔧 Create efficient binary reduction dispatch functions for strided 1D arrays in ndarray, enhancing performance in numerical computing tasks.

Vector graphics engine & UI framework for Windows and Linux desktops, supporting SVG

🗺️ Visualize and explore large embeddings interactively, enabling easy navigation, clustering, and density analysis of your data.

🔢 Build and run numerical computations efficiently in web environments with this WebAssembly-based library for Z-Scale applications.

Create a clamped unsigned 8-bit integer vector (i.e., a one-dimensional ndarray).