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Postgres/PostGIS functions for generating SVG documents. - dr-jts/pg_svg

A lightweight service for creating map tiles from Cloud-Optimized GeoTiff

First things first; let’s try to understand what a terrain is. A terrain represents the physical features of an area of land. It includes elevation, slope and the arrangement of the natural features such as mountains, plains and rivers. A terrain influences the natural features such as how the inhabitants of a particular area carry...

Batch processing framework for 'ellmer' chat models. Provides both sequential and parallel processing of chat interactions with features including tool calling and structured data extraction. Enables workflow management through progress tracking and recovery and automatic retry with backoff. Additional quality-of-life features include verbosity (or echo) control and sound notifications. Parallel processing is implemented via the 'future' framework. Includes methods for retrieving progress status, chat texts, and chat objects.

Unsupervised text tokenizer focused on computational efficiency. Wraps the 'YouTokenToMe' library which is an implementation of fast Byte Pair Encoding (BPE) .

A tool to gather, analyze and visualize data from the Bureau of Labor Statistics (BLS) API. Functions include segmentation, geographic analysis and visualization. - keberwein/blscrapeR

Google Summer of Code is a global program focused on bringing more developers into open source software development.

PostgreSQL experts from Crunchy Data share advice, performance tips, and guides on PostGIS Performance

Learn how to build a privacy-preserving Retrieval-Augmented Generation (RAG) workflow in R using Ollama and the ragnar package. Discover step-by-step methods for summarizing health insurance policy documents, automating compliance reporting, and leveraging local LLMs—all within your R environment.

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering.

Addresses that were not validated at the time of collection are often heterogenously formatted, making them difficult to compare or link to other sets of addresses. The addr package is designed to clean character strings of addresses, use the `usaddress` library to tag address components, and paste together select components to create a normalized address. Normalized addresses can be hashed to create hashdresses that can be used to merge with other sets of addresses.

Run Claude Code tasks asynchronously on secure cloud infrastructure

Composer is our new agent model designed for software engineering intelligence and speed.

Easily convert OpenAPI (Swagger) specifications between YAML and JSON formats online for free. Paste your code or upload a file to get started instantly.

Examples and server integrations for generating the Swagger API Specification, which enables easy access to your REST API - swagger-api/swagger-core

OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3) - JoeCqupt/openapi-generator

Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a ROLAP (Relational On-Line Analytical Processing) star database. The main objective of the package is to allow the definition of these transformations easily. The implementation of the multidimensional database obtained can be exported to work with multidimensional analysis tools on spreadsheets or relational databases.

Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a ROLAP (Relational On-Line Analytical Processing) star database. The main objective of the package is to allow the definition of these transformations easily. The implementation of the multidimensional database obtained can be exported to work with multidimensional analysis tools on spreadsheets or relational databases.

Data in multidimensional systems is obtained from operational systems and is transformed to adapt it to the new structure. Frequently, the operations to be performed aim to transform a flat table into a star schema. Transformations can be carried out using professional extract, transform and load tools or tools intended for data transformation for end users. With the tools mentioned, this transformation can be carried out, but it requires a lot of work. The main objective of this package is to define transformations that allow obtaining stars from flat tables easily. In addition, it includes basic data cleaning, dimension enrichment, incremental data refresh and query operations, adapted to this context.

Import bathymetric and hypsometric data from the NOAA (National Oceanic and Atmospheric Administration, ), GEBCO (General Bathymetric Chart of the Oceans, ) and other sources, plot xyz data to prepare publication-ready figures, analyze xyz data to extract transects, get depth / altitude based on geographical coordinates, or calculate z-constrained least-cost paths.