15 projects tagged "data"
Updated 17 Aug 2011
geozonedb
| Pop | 71.73 |
|---|---|
| Vit | 1.85 |
geozonedb is a project based on three steps. The first two have been completed: a dump of a database with every country in the world, population, capital, coordinates, and every city and community in the world with the postal code; and an extraction framework in PHP to get data from the www.geonames.org project. The framework already gets data in the world language you want, and automatically creates the tables needed in the database you want. It have been tested on MySQL, but it should be, thanks to the database library used, enough to change the database from MySQL to Oracle, db2, MS SQL, PostgreSQL, etc. Simple code is being written in pure JavaScript, as well as a version in jQuery, to access every city in the world with autosuggest.
Updated 09 Feb 2013
librangetree
| Pop | 51.73 |
|---|---|
| Vit | 2.67 |
librangetree is a C++ template, implementing a 2D range tree for both counting and reporting queries. It is just about the fastest way to do 2D searches.
Updated 09 May 2009
PL/JSON
| Pop | 50.05 |
|---|---|
| Vit | 1.01 |
PL/JSON is a generic JSON object written in PL/SQL. Using PL/SQL object syntax, users instantiate a JSON objects and then add members, arrays, and additional JSON objects. This object type can store JSON data, in Oracle, persistently.
Updated 06 Mar 2011
Chart-Clicker
| Pop | 39.34 |
|---|---|
| Vit | 1.00 |
Chart::Clicker aims to be a powerful, extensible charting Perl package that creates really pretty output. Charts can be saved in PNG, SVG, PDF, and PostScript format. Clicker leverages the power of Graphics::Primitive to create snazzy graphics without being tied to a specific backend.
Updated 17 Nov 2012
libdash
| Pop | 37.31 |
|---|---|
| Vit | 1.00 |
libdash provides generic, efficient multi-threaded data access. It allows data distribution and synchronization in heterogenous environments, implemented by the CoDASH library. The primary use case is the development of task-parallel multi-threaded applications.
Updated 27 Mar 2010
Dummy Data Generator
| Pop | 36.33 |
|---|---|
| Vit | 33.90 |
Dummy Data Generator is a tool that generates dummy data for populating systems for testing. The data includes names, addresses, email addresses, phone numbers, and social "connections". Names are generated by using US Census data on the most common names. Email addresses are just a random string for the user portion and always use "example.com" for the domain. Currently the only output format is CSV.
Updated 17 Mar 2009
gdata-python-scripts
| Pop | 27.24 |
|---|---|
| Vit | 39.03 |
gdata-python-scripts collects some simple scripts and examples that use the Google Spreadsheets Data APIs client libraries for Python. The main goal is to collect and publish small snippets of code that, if not completely general and ready to use, remain simple enoguh (and hopefully well documented enough) to be adapted to your own needs.
Updated 29 Aug 2011
itch41
| Pop | 25.65 |
|---|---|
| Vit | 1.00 |
itch41 parses a file of level 3 NASDAQ stock exchange data, such as ftp://emi.nasdaq.com/ITCH/S030711-v41.txt.gz. This is mainly for demonstration purposes, lacking column domains, column constraints, data validation, timestamp calculations, stock symbol lookup for execution/cancel/delete messages, derived columns (e.g. for partitioning), and the general kinds of pre-processing one would expect from a production tick data loader.
Updated 19 May 2012
sigrok-dumps
| Pop | 23.04 |
|---|---|
| Vit | 1.00 |
sigrok-dumps is a collection of various logic analyzer example captures in sigrok session (*.sr) file format. They're useful for evaluating and/or testing sigrok frontends (command-line or GUIs), testing and developing protocol decoders, and for other uses cases.
Updated 08 Oct 2009
Data Quota
| Pop | 21.66 |
|---|---|
| Vit | 36.31 |
If you have a pre-determined quota from your operator of how much packet data you can use in a month, it's a pain to first find the Logs application, open the packet data counter, then try and work out how much data you have left from the amount used so far. Data Quota shows two simple bars: one showing how much of the data for this month you have used, and one showing how much of the month has elapsed. This lets you tell at a glance if you've been using data up too quickly or slowly, so you can be more (or less) frugal.
