Skip to main content
This is a pre-production deployment of Warehouse. Changes made here affect the production instance of PyPI (
Help us improve Python packaging - Donate today!

Memory tool for Python-Based Data Science

Project Description

The combination of datasets, questions, and nature of analysis is growing everyday. Data scientists find it hard to keep track of all the different datasets they dealt with, what they did with those datasets, and what they presented to the model-audience (business etc)

pydatasentry package allows auditability of modeling code and data by logging all relevant information for every single model run (e.g., a regression) You could use this for audit past results for correctness, share models and results with peers, search past results to avoid repition of work.

Note that code is very alpha. Expect it to break often. Please try it out and give me feedback/create issues.

Please see docs for detailed documentation.

Release History

This version
History Node


History Node


Download Files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

File Name & Hash SHA256 Hash Help Version File Type Upload Date
(12.1 kB) Copy SHA256 Hash SHA256
Source Nov 10, 2015

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting