Broaden your selection: Category/Database
- Berkeley Database
- The Berkeley Database is an embedded database system. Its access methods include B+tree, Extended Linear Hashing, fixed and variable-length records, and Persistent Queues. Berkeley DB provides full transactional support, database recovery, online backups, and separate access to locking, logging and shared memory caching subsystems. The program supports C, C++, Java, Tcl, Perl, and Python APIs.
- Check Postgres
- check_postgres is a script for monitoring various attributes of your database. It is designed to work with Nagios, MRTG, or in standalone scripts.
- DBA Companion
- DBACompanion is a graphical administration tool for Oracle databases that lets you visualise the contents of a data dictionary. It lets you browse the data dictionary, drill down from one piece of information to related ones, generate SQL scripts based on data dictionary information, and customize all the SQL used by the tool.
- Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.
- ELOG (Electronic Web Lobgook) is an electronic logbook with a Web interface. It can be used to maintain personal or shared logbooks, with the ability to add attachments to logbook pages. Logbook entries can be categorized with user-defined classes, and queried using filters on these classes. Automatic email notifications can be sent on new entries based on these classes. The ELOG server is a small stand-alone C program, which runs under GNU/Linux. The logbooks are saved in plain ASCII files for easy and fast access.
- GNU SQL Server
- Portable multiuser relational database management system. It supports the full SQL89 dialect and has some extensions from SQL92. It provides multiuser access and transaction isolation based on predicative locks. The working OS is Unix; the working language is C. The program also uses RPC, shared memory, and message queues. Note: as of June 26, 2001, this program is no longer being maintained or developed.
- GNU dbm is a set of database routines that use extendible hashing and works similar to the standard UNIX dbm routines. The library provides also an optional compatibility layer for UNIX-like dbm and ndbm calls.
- As of May 04, 2001, 'grg' has been renamed GURGLE. Reads record and field information from a dBase 3+ file, delimited ASCII text file, or an SQL query to a RDBMS and produces a report listing. The program was designed primarily to produce a TeX/LaTeX formatted output, but plain ASCII text, troff, PostScript, HTML, or any other kind of ASCII based output format can be produced also. The program is ideal for generating large bodies of text where various parts of the text are substituted with information from a database. It's particularly useful for generating mainly static web pages with small amounts of dynamic content. A definition file controls the formatting process, which holds the report, page, and record layouts, what fields to display, and where. Other useful functions include sorting, filtering, and data manipulation of records in the database. Main features include:
- Multiple input databases or queries
- Support for ASCII delimited text, dBase 3+, CA-Ingres, GNU SQL, MySQL, and PostgreSQL databases
- Sorting of database records
- Automatic banner placement at the start of each sorted group
- Filters using regular expressions or useer defined function
- Five main text bodies-- header, footer, record, 1st page, and nth page
- User defined macros, text bodies, and equations on field contents, including the conditionals
- User configurable input parsing patterns (default is like awk)
- Include files
- Environment variables
- System variables
- Multiple file output
- General purpose processing language
- Optional GUILE support
- Kexi is an integrated visual environment for managing data. It helps with creating database schemas and inserting, querying, and processing data. It integrates smoothly into KDE and KOffice, and is designed to compete with Microsoft Access. It is supported under Linux and MS Windows.
- Mc 2
- MC is a C++ program that creates vector-space models from text documents that can be used for text mining applications. MC provides an efficient multi-threaded implementation that can process very large document collections. The MC program: 1. Recursively descends directories, finding text files 2. Processes files selectively through full regular expression matching of file names. 3. Builds a sparse matrix of word/token counts. The particular sprse marix format used is given here. 4. Processes any user specified text formats(email address or URLs) as a whole token through regular expression matching or FLEX definition. 5. Prunes vocabulary by word length and frequency 6. Excludes user specified stop words 7. Sets word vector weights according any of the txx, txn, tfn, tfx, lxx, lxn, lfn, lfx scaling schemes. 8. Writes all data structures to disk in the Compressed Column Storage format. The application does not have English parsing or part-of-speech tagging facilities or complete documentation
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