phpilelist is a file listing script that you can upload to a directory on your Web server. There's just one file to upload, and the script will list all files with extensions you specify and make them available for download. If you add, remove, or rename files, the listing will automatically update. If the directory contains a file named 'readme.txt', the script will show this file's contents above the download links.
SyncServer is a Firefox sync server written in Perl. Mozilla's Firefox sync server, which is written in Python, has many dependencies and is quite tricky to install on enterprise distributions which don't ship with all those requirements. This syncserver implements the syncserver user API and storage API as an fcgi application. It is entirely written in Perl.
Xyndravandria Dyverath composes and executes MySQL database queries programmatically. It represents a database system with PHP classes. Other classes are available to compose other parts of the queries like conditions, fields, values, limit clauses, etc. A separate class can also query database table metadata like table fields and primary keys.
NanoHttpd is a lightweight HTTP server designed for embedding in other applications. It's only one Java file, in two "flavors", one strictly Java 1.1 compatible, and one at "current" standards. It supports GET, POST, PUT, HEAD and DELETE requests, and supports file uploading with very small memory overhead. Temp file usage and the threading model are easily customized.
PhenoTips is a tool for collecting and analyzing phenotypic information for patients with genetic disorders. It combines an easy-to-use interface, compatible with any device which runs a Web browser, with a standardized database backend. The PhenoTips user interface closely mirrors clinician workflows, to facilitate the recording of observations made during the patient encounter. By collecting, classifying, and analyzing phenotypic information during the patient encounter, PhenoTips allows streamlining of clinic workflow, efficient data entry, improved diagnosis, standardization of collected patient phenotypes, and sharing of anonymized patient phenotype data for the study of rare disorders.