Modin: Scale your Pandas workflows by changing a single line of code
- dataframe
- pandas
- distributed
- datascience
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Modin: Scale your Pandas workflows by changing a single line of code
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
the portable Python dataframe library
The AI-native JSON Gantt chart engine. Dependency-free interactive timelines with React, script-tag, CLI, topological DAG solver, and formal JSON schema.
Official repository for Open Web Analytics which is an open source alternative to commercial tools such as Google Analytics. Stay in control of the data you collect about the use of your website or app. Please consider sponsoring this project.
F# for Jupyter Notebooks
AWStats Log Analyzer project (official sources)
Svelte Gantt chart component – lightweight, customizable, interactive, and fast.
Common Lisp Statistics -- based on LispStat (Tierney) but updated for Common Lisp and incorporating lessons from R (http://www.r-project.org/). See the google group for lisp stat / common lisp statistics for a mailing list.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Analytical Django Apps. No JavaScript Required.
A simple data project for Steam data
An Aurelia.io plugin that adds Google Analytics page tracking to your project.
American Sign Language Detection is a deep learning end to end project where we can detect American Sign Language.
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
:snake: Python Implementation for KITTI Scan Unfolding
R COBOL DI (Data Integration) Package : Import COBOL CopyBook data files directly into R as properly structured data frames.
📊 Showcase your open source contributions with beautiful SVG tables. Display your merged PRs from prestigious projects.
Demo Project of the DSSSP: React Library for Audio Equalizers & Filter Visualization
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.