PhpLabware is a database system with features similar to Filemaker and Access, but is completely Web-based. Relational databases can be defined through the Web interface and extended with PHP plugin code. User and group access is regulated at the record level. It was written by and for life sciences research scientists, but should be generally useful as a Web-based front end to SQL databases.
|Tags||Scientific/Engineering Bioinformatics Database Front-Ends|
|Operating Systems||OS Independent|
Release Notes: The following bugs present in the previous release (0.6) were fixed: Safari users were not able to edit tables; the view icon did not work when MySQL was used as the RDBMS; the delete icon did not work; and the next/previous icons did not work.
Release Notes: The user interface has been drastically improved by using icons, tooltips, and Ajax technology. A number of bugs were fixed, and the code was made to work under PHP 5.
Release Notes: This release adds improvements to the user interface (which is now W3C-compliant HTML) and a number of bugfixes. The 'table edit' mode was reworked and is now much more responsive and usable. It is now possible to add username, password, and search statements to the URL, making 'deep- linking' into the databases possible. The PDF plugin can download the PDF reprint itself (when given a pubmed ID) from many journals. The import module has been reworked and should be much more robust.
Release Notes: This release added 'views', a mechanism for users to define which fields of each database they want to see. Databases for constructs (plasmids) and ordering were also included, and many minor bugs were fixed.
Release Notes: This release adds the ability to generate reports from the results of database searches. The reports are based on user-definable templates. Most of the problems when working with linked databases in earlier releases have been removed. The data import and export functions as well as the user interface were improved. Major speed increases make it now feasible to work with large datasets.