Top 507 data-analysis open source projects

Interactive Brain Playground - Browser based tutorials on EEG with webbluetooth and muse

📈 Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

서울시 공무원의 업무추진비를 분석하여 진짜 맛집 찾기 프로젝트

Dnotebook is a Jupyter-like library for javaScript environment. It allows you to create and share pages that contain live code, text and visualizations.

Collection of interactive Jupiter Notebook widgets and graphs.

Practical Full-Stack Machine Learning

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

Performance engineering for the rest of us.

Event Based Applications [DEPRECATED]

Course Curriculum and Resources for Learning Data Science in 3 Months

PowerShell DSL for aggregating data

re_data - fix data issues before your users & CEO would discover them 😊

COVID-19 World is yet another Project to build a Dashboard like app to showcase the data related to the COVID-19(Corona Virus).

WebGL Heatmap Viewer for Big Data and Bioinformatics

data-disasters.netlify.app/

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Materials for the "Data Visualization" CADi workshop @ "Tecnológico de Monterrey"

An open source book on Python tailed for communication students with zero background

Text Similarity Applied to resume, to compare Resumes with Job Descriptions and create a score to rank them. Similar to an ATS.

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

A collection of Jupyter notebooks exploring different datasets.

A Python library for Global and Target Analysis of time-resolved spectroscopy data

Python Tips for Data Scientist

Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.

Custom ML tracking experiment and debugging tools.

📈 Useful notes and personal collections on statistics.

Taller SparkR para las Jornadas de Usuarios de R

An analysis and visualization R package that works with publicly available soccer data

🔥 Golang basics and actual-combat (including: crawler, distributed-systems, data-analysis, redis, etcd, raft, crontab-task)

A biggest collection of free books and other resources for R programming

Case study solutions for #8WeekSQLChallenge at https://8weeksqlchallenge.com

Open source analysis tools

A library for managing, validating, summarizing, and visualizing data.

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Professional visualizations of COVID-19, emulating NYT, The Guardian, Washington Post, The Economist & others, using only Python & Altair.

百度贴吧分布式爬虫，用于贴吧数据挖掘。从贴吧维度和用户维度进行数据分析

A list of awesome crypto and blockchain projects

A Clojure smart reader for CSV files

In-memory Java DataFrame library

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

R tools for eyetracker workflows.

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

📈 What to measure, how to measure it.

Every cyclist and stage of the Tour de France in two CSV files.

天池精准医疗大赛——人工智能辅助糖尿病遗传风险预测 第一赛季

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Short undergraduate course taught at University of Pennsylvania on computational and theoretical neuroscience. Provides an introduction to programming in MATLAB, single-neuron models, ion channel models, basic neural networks, and neural decoding.

Reproducible Self-Publishing - Demo Publications in the Most Common Formats

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

My dataquest project solutions

convenience functions to help researchers elucidate patterns in their data

Pandas is a powerful tool for data exploration and analysis (including timeseries).

interactive Multi Objective K-mer Analysis

Python package for canonical vine copula trees with mixed continuous and discrete marginals

MOOSE - Platform for software and data analysis.

Open Source Presence Infographic of Indian Startups

Python数据分析入门，数据分析师入门

Code examples for Chapter 2 of Data Wrangling with JavaScript

A complete tutorial in python for Data Analysis and Machine Learning