No Clocks

Learn how to map, rename, and reorganize fields in real-time streaming data. Align source schemas with destination conventions, handle naming conflicts, and standardize column names.

Learn source-to-target mapping best practices that prevent pipeline drift, improve clarity, and keep data pipelines accurate as they scale.

SpacetimeDB is a real-time backend framework and database for apps and games.

FCC 2024

This page gives an overview about available open source maps styles for Shortbread vector tiles

Link spatial data to presentations, reports and docs.

MCP (Model Context Protocol) Server. Provides access to Cursor IDE's SQLite databases for exploring project data, chat history, and composer information through an API that automatically detects installations and exposes structured resources and tools for analysis.

The ultimate open-source tool for browsing, searching, exporting, and backing up your Cursor AI chat history. - S2thend/cursor-history

I bought a new system. Does Cursor store chat and indexing data in the cloud, along with user information, etc., because I want to transfer all my data to the new computer. Thanks!

Mundi is the platform for working with geospatial data and LLMs. Connect to your spatial database like PostGIS, modify map styles, process the data, run georeferencing, and collaborate with anyone.

Shiny app to curate BOLD data

An R package for Tushare Pro and various time series utils. - junduck/tswbench

In the last few years, open source GIS has been developing relatively rapidly with an increase in the number of open-source GIS software available for performing various specialty functions. With this increase came the problem of managing the dependencies of different software when installing them on the same machine or getting them to work together to accomplish a task. How was the setting up process the last time you needed to make a map, share it and write about how you made the map? This is where the docker-based Open Source GIS Stack (OSGS) comes in. OSGS is a rich, integrated, and opinionated GIS Stack with a focus on configurability and ease of use built from open source components. The primary objective of the OSGS stack is to provide simple and effective end-to-end solutions based on open source geospatial technologies. Some of the key services offered by the OSGS platform are Nginx and Hugo for web publishing using static web pages, File Browser for file management, QGIS-Server for publishing web maps, PostgreSQL and PostGIS for database management, and Metabase for visualizing your data. We’ll take a look at how easy and painless making, sharing and writing about maps can be. The Open Source GIS Stack by Kartoza is maintained in the Kartoza OSGS repository (github.com/kartoza/osgs).

Using the technologies: - Database - Postgres + postgis - Backend - Python + fastAPI - Frontend - React + maplibre - Deployment - Docker We will delve into the cutting-edge landscape of Geospatial Information Systems (GIS) through the lens of a modern custom web stack. The backbone of our system lies in the backend, where Python's fastAPI takes center stage, providing a seamless and efficient foundation for handling geospatial data. From routing to authentication, fastAPI ensures optimal performance. On the frontend, we embrace the power of React, creating a dynamic and interactive user interface. Maplibre, an open-source mapping library, is our choice for rendering stunning maps, delivering a captivating user experience. The combination of React and Maplibre transforms data into meaningful visualizations, making complex geospatial information easily accessible which can be further extended to native mobile apps seamlessly as well. The heart of our GIS web stack is the robust database system, featuring PostgreSQL and its spatial extension, PostGIS. This powerful combination allows for efficient storage, retrieval, and analysis of geospatial data, unleashing the full potential of location-based insights. We will explore the rich ecosystem surrounding PostgreSQL and PostGIS, with extensions like mobilityDB, and uber h3 showcasing the versatility and extensibility they bring to the table. Our entire GIS web stack is encapsulated in Docker containers to ensure seamless deployment and scalability. This containerization facilitates deployment on any cloud platform, providing flexibility and ease of management. We will guide you through the Dockerization process, empowering you to deploy your custom GIS solution effortlessly in the cloud.

Learnings from working with MapLibre's Choropleth styling options

.NET Aspire promises to revolutionize cloud-native development for .NET applications, but does it live up to the hype? In this hands-on review, I'll share my experience migrating a real project to Aspire, exploring its strengths, limitations, and potential impact on how we build distributed systems.

OxiGDAL — Pure Rust Geospatial Data Abstraction Library

Discover MCP servers that connect Claude and Cursor to tools like Figma, Databricks, Storybook, and Ghidra. Browse the MCP Market to get started.

Use when developing R packages that need to handle errors, warnings, and conditions properly. Covers: (1) cli_abort/cli_warn/cli_inform for throwing conditions with formatting, (2) Error call context with caller_env() and caller_arg(), (3) Input validation helpers that report the right function, (4) Error chaining with try_fetch() and parent argument, (5) Testing error conditions with testthat snapshots.

Improve R package development with the rlang-conditions skill for Claude Code. Master cli_abort, error chaining, and context-aware R condition handling.

Hexagonal Architecture for DDD protects core logic, enabling agile changes. Learn advantages over layered architecture, build modular monoliths effectively.

Testing

Functional architecture tends to fall into a pit of success that looks a lot like Ports and Adapters.

Everything you need to write flexible, future-proof Rust applications using hexagonal architecture.

MCP (Model Context Protocol) Server. Provides direct PostgreSQL database integration with PostGIS spatial extension support, enabling SQL query execution, spatial data analysis, geographic information systems operations, and location-based queries for both traditional relational data and geographic datasets.

A new way to work with data is here. Posit AI embeds a specialized agent directly in RStudio, transforming your IDE into a powerful collaborator for data analysis.

We’re launching a data science agent and next edit suggestion system for RStudio today.