Adrian Partl's starred repositories
tin-terrain
A command-line tool for converting heightmaps in GeoTIFF format into tiled optimized meshes.
mysql_sphere
MySQL port of pgSphere 1.1.1
SousVideAdaptativeArduino
Adaptative regulation sous-vide cooker algorithm (for arduino)
Darth-Vendor
Third-party vendoring helper for Google App Engine and other sandboxed python environments.
slimserver
Server for Squeezebox and compatible players. This server is also called Lyrion Music Server.
daiquiri-app
Empty web application for the daiquiri framework
mysql_validateSQL
MySQL UDF for validating SQL queries using MySQL server code without executing the sub queries
mysql_query_queue
This MySQL daemon plugin provides a job queue to which SQL queries can be submitted. These will then be executed according to priority and number of already running queries.
json-parser
Very low footprint DOM-style JSON parser written in portable ANSI C
libhilbert
Library for N-Dimensional Hilbert Mapping
mysqldump-vo
VOTables dump and output support for MySQL through customized mysqldump
AsciiIngest
A general ASCII file row based ingestion tool using the DBIngestor library. This tool allows you to define custom ASCII data formats similar to the MS SQL Server format files. However it is possible to define custom checks, transformation functions, derived data rows, and constant data rows. It is easy to extend the assertion and convertion functions, by implementing ones own functions in the DBIngestor library. Further the DBIngestor library provided data buffering for higher ingest performance and many interfaces to various DB systems.
DBIngestor
This library provides wrappers to data ingestion into various DB systems, such as MySQL, SQLite3, and ODBC compatible systems. You can use this C++ library to ingest data in any format (you need to implement the reading routines though). The library provides an ingestion buffer that allows for multiple rows to be ingested at one time. This greatly improves ingestion performance. Further assertion and conversion functions are provided for elementary data transformation and processing. These can easily be extended by custom functions and many examples for implementing such functions are provided in the source.