101 Open source projects that are alternatives of or similar to foofah

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Repository for the projects needed to complete the Data Analyst Nanodegree.

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

🚕 A spreadsheet-like data preparation web app that works over Optimus (Pandas, Dask, cuDF, Dask-cuDF, Spark and Vaex)

Prosto is a data processing toolkit radically changing how data is processed by heavily relying on functions and operations with functions - an alternative to map-reduce and join-groupby

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

CSVs sliced, diced & analyzed.

data wrangling simplicity, complete audit transparency, and at speed

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A tool to read CSV files with CSVW metadata and transform them into other formats.

Data Management with SQL for Ecologists

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Power Query M functions for working with Tabular Data Packages (Frictionless Data) in Power BI and Excel

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A Machine Learning System for Data Enrichment.

A library for creating and curating reproducible pipelines for scientific and industrial machine learning

A schema-aware Scala library for data transformation

Some of the projects i made when starting to learn R for Data Science at the university

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Execute OpenRefine JSON scripts without OpenRefine (or Java)

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian

A PHP benchmark application to compare PHP serializer libraries

Powerful product analytics for data teams, with full control over data & models.

Data Cleaning Libraries with Python

Data Analysis and Visualization in R for Ecologists

Daany - .NET DAta ANalYtics .NET library with the implementation of DataFrame, Time series decompositions and Linear Algebra routines BLASS and LAPACK.

An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R

Code examples for Chapter 2 of Data Wrangling with JavaScript

An introductory workshop on pandas with notebooks and exercises for following along.

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

Web scrapping and related analytics using Python tools

bamboolib - template for creating your own binder notebook

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

A toolbox of simple solutions for common data cleaning problems.

Wrangler Transform: A DMD system for transforming Big Data

This is a project based on the FIFA World Cup 2019 and Analyzes the Performance and Efficiency of Teams, Players, Countries and other related things using Data Analysis and Data Visualizations

object flow treatment, data transformation

Short programming tutorials pertaining to data analysis.

DEPRECATED: YAML-based data transformations

A generic framework for simplifying the creation of linked data.

A Node.js and JavaScript synchronous data pipeline processing, data sharing and stream processing library. Actionable & Transformable Pipeline data processing.

A curated list of Clojure resources for dealing with domain-specific languages.

Find and replace erroneous fields in data using validation rules

JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

A python package built for data scientist/analysts, AI/ML engineers for exploring features of a dataset in minimal number of lines of code for quick analysis before data wrangling and feature extraction.

Tools for test driven data-wrangling and data validation.

Scalable identity resolution, entity resolution, data mastering and deduplication using ML

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Advanced-data-wrangling-in-R, Workshop

Data transformation and utility functions for R

Exemplary, annotated machine learning pipeline for any tabular data problem.

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

A Python toolbox for gaining geometric insights into high-dimensional data

⚙️ Schedule notebooks, run them like APIs, expose securely your assets: Jupyter as a viable ⚡️ Production environment

R for Reproducible Scientific Analysis

Data Analysis and Visualization in Python for Ecologists

Pipeline module for parallel real-time data processing for machine learning models development and production purposes.

Elixir style pipe operator for Ruby

Clojure Command-line Data Processor for JSON, YAML, EDN, XML and more