matteoredaelli

Pop	34.50
Vit	2.66

Broadcast Oracle SQL is a simple and powerful Python (and previously Ruby/Perl) utility. It is useful for sending an SQL statement to many Oracle instances. It can also generate several kind of charts (line, bar, bar3d, etc.) with the result of the SQL queries.

Pop	21.68
Vit	18.86

dump_tweets.py is a tool for incrementally dumping tweets to a database for further analysis.

Pop	98.35
Vit	3.63

Ebot is a scalable and distribuited Web crawler. The URLs are saved to a NOSQL database (which supports map/reduce queries) that you can query via RESTful HTTP requests or using your preferred programming languages. The URLs that need to be analyzed are sent to AMQP queues. In this way, it is possible to run several crawlers in parallel and stop and start them without losing URLs.

Pop	51.65
Vit	1.86

Moodle Reporting is a collection of tools for extracting reports and statistics from your Moodle installation. It is based on R, Eclipse Birt, and RRDtool.

Pop	41.95
Vit	3.27

oRestE gives you a fast way to expose your databases with a RESTful interface. It is built on top of Erlang, MochiWeb, and Webmachine. It is light, stable, and fast.

Pop	11.83
Vit	64.17

graph.pl is a Perl script that searches for paths in a graph. You have to fill the definition of the graph in a text file with the weights of the links between nodes and it enumerates and outputs the possible paths and their lengths.

Pop	13.45
Vit	59.71

RubyYahooFinance is a Ruby library to download and manage Yahoo financial indexes, symbols, and quote data. It also includes a MySQL database to store the downloaded data and create a personal history of quote data.

Pop	21.07
Vit	2.13

Statistics about SAP upgrades is a simple and powerful Ruby (and Perl) script useful to extract information about the duration time of each phase of a SAP upgrade.

Pop	223.19
Vit	8.20

Strategico is an engine for running statistical analysis over groups of time series. It can manage one or more groups (projects) of time series: by default, you can get data from a database or CSV files, normalize them, and then save them inside the engine. The first statistical analysis implemented inside Strategico is the "Long Term Prediction": it automatically finds the best model that fits each time series. Some of the models implemented are mean, trend, linear, exponential smoothing, and Arima. Strategico is scalable: the statistical analysis over each time series (of a project) can be run separately and independently. It is suggested that you set up an HPC Cluster (High Performance Computing) and/or use a resource scheduler like slurm. It is developed with R, one of the most famous statistical languages.

Pop	300.15
Vit	9.02

WG is a word generator with several useful options you can use to filter/reduce the output list of words. It is available in three implementations, one written in Erlang, one in Perl, and one in Ruby.