pg_partman is a PostgreSQL extension to create and manage both time-based and serial-based table partition sets. Sub-partitioning is also supported. Child table & trigger function creation is all managed by the extension itself. Tables with existing data can also have their data partitioned in easily managed smaller batches. Optional retention policy can automatically drop partitions no longer needed. A background worker (BGW) process is included to automatically run partition maintenance without the need of an external scheduler (cron, etc) in most cases.

LIDAR sensors quickly produce millions of points with large numbers of variables measured on each point. The challenge for a point cloud database extension is efficiently storing this data while allowing high fidelity access to the many variables stored.

This package provides an Emacs orderless completion style that divides the pattern into space-separated components, and matches candidates that match all of the components in any order. Each component can match in any one of several ways: literally, as a regexp, as an initialism, in the flex style, or as multiple word prefixes. By default, regexp and literal matches are enabled.

Minimal Java runtime - needed for executing non GUI Java programs, using Hotspot JIT.

OmniDB is a web tool that simplifies database management focusing on interactivity, designed to be powerful and lightweight.

This library provides a Python interface for interacting with the Meater smart meat thermometer from Apption Labs. It enables communication with the Meater Cloud API to retrieve data from Meater cooking probes. With this library, you can authenticate with the Meater API, and obtain information about connected probes, including their internal and ambient temperature readings. Additionally, it allows querying for current cooking sessions and their details, such as target temperatures and elapsed cooking time. The library requires an active Wi-Fi and Bluetooth connection to the Meater Cloud for device data synchronization.