The Data Productivity Toolkit is a collection of linux command-line tools designed to facilitate the analysis of text-based data sets. Modeled after the general linux pipeline tools such as awk, grep, and sed, the kit provides powerful tools for selecting/combining data, performing statistics, and visualizing results. The tools are all written in python and in many instances provide a command-line API to basic python and numpy/scipy/matplotlib routines.

Project Activity

See All Activity >

Follow Data Productivity Toolkit

Data Productivity Toolkit Web Site

You Might Also Like
SKUDONET Open Source Load Balancer Icon
SKUDONET Open Source Load Balancer

Take advantage of Open Source Load Balancer to elevate your business security and IT infrastructure with a custom ADC Solution.

SKUDONET ADC, operates at the application layer, efficiently distributing network load and application load across multiple servers. This not only enhances the performance of your application but also ensures that your web servers can handle more traffic seamlessly.
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
2
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • I am the author of this project, so of course I give it five stars. :) In all seriousness though, in the seven years or so since I wrote this, the data tooling for python has improved immensely. I have written a far more capable project to replace this one. It is called Pandashells and you can find it on github. If you like this project, you'll really like pandashells
  • very good project, thanks!
Read more reviews >

Additional Project Details

Registered

2011-12-05