GA R&R - GAC - Rule 180-7-.04. Topography and Vertical Measurements
No Clocks
hellmer: Batch Processing for Chat Models
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.
CRAN: Package tokenizers.bpe
Unsupervised text tokenizer focused on computational efficiency. Wraps the 'YouTokenToMe' library which is an implementation of fast Byte Pair Encoding (BPE) .
Bdl faqs local hpis
keberwein/blscrapeR: A tool to gather, analyze and visualize data from the Bureau of Labor Statistics (BLS) API. Functions include segmentation, geographic analysis and visualization.
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
ChatR: A Local, Inclusive, and Accurate R Expert Chatbot for the R Ecosystem
Google Summer of Code is a global program focused on bringing more developers into open source software development.
PostGIS Performance | PostgreSQL Blog | Crunchy Data
PostgreSQL experts from Crunchy Data share advice, performance tips, and guides on PostGIS Performance
RAG with Ollama and ragnar in R: A Practical Guide for R Programmers – Steve’s Data Tips and Tricks
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.
rspatialdata
How to create your own RAG applications in R
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.
Census Tract-Level Neighborhood Indices
Clean, Parse, Harmonize, Match, and Geocode Messy Real-World Addresses
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.
Of course, someone has to write imperative code to build reproducible data science pipelines. It doesn’t have to be you. – Econometrics and Free Software
Claude Code on the web - Claude Docs
Run Claude Code tasks asynchronously on secure cloud infrastructure
Composer: Building a fast frontier model with RL
Composer is our new agent model designed for software engineering intelligence and speed.
Migrating from OpenAPI 3.0 to 3.1.0 – OpenAPI Initiative
Free Online OpenAPI & Swagger Converter
Easily convert OpenAPI (Swagger) specifications between YAML and JSON formats online for free. Paste your code or upload a file to get started instantly.
Swagger 2.X OpenAPI 3.1
Examples and server integrations for generating the Swagger API Specification, which enables easy access to your REST API - swagger-api/swagger-core
openapi-generator/samples/client/petstore/R-httr2/R/api_client.R at master · JoeCqupt/openapi-generator
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
R Technical Documentation
Obtaining Star Databases from Flat Tables
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.
CRAN: Package rolap
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.
Obtaining Stars from Flat Tables
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.
CRAN: Package marmap
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.
Satellite satellite
Windy: Wind map & weather forecast
Comprehensive ESF and All Hazards Dashboard
Application for viewing GEMA ESF and Hazards Dashboards
PROD - NFHL - WMA
Data from Flood Insurance Rate Maps (FIRMs) where available digitally.
USA Flood Hazard Areas
This layer displays Flood Hazard Areas from the Flood Insurance Rate Map created by the Federal Emergency Management Agency, updated by Esri annually.
FEMA Geospatial Resource Center Content Gallery
Category Gallery to view FEMA Geospatial Resource Center content by category. App linked through GRC Hub site