828 Open source projects that are alternatives of or similar to heidi

In-memory Java DataFrame library

Fast multi-threaded DataFrame library in Rust | Python | Node.js

Taller SparkR para las Jornadas de Usuarios de R

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

ELKI Data Mining Toolkit

Immutable and grow-only Pandas-like DataFrames with a more explicit and consistent interface.

A collection of Jupyter Notebooks used in conferences or just to have some snippets.

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

Knowage is the professional open source suite for modern business analytics over traditional sources and big data systems.

安全场景、基于AI的安全算法和安全数据分析学习资料整理

TipDM建模平台，开源的数据挖掘工具。

Machine learning fundamentals lesson in interactive notebooks

Table analysis in Tkinter using pandas DataFrames.

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved

Short programming tutorials pertaining to data analysis.

Java dataframe and visualization library

UC Berkeley team's submission for RecSys Challenge 2018

Job data mining repo for lagou.com

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

Ultimate Python library for time series analysis and backtesting at scale

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

Multi-class confusion matrix library in Python

《Python数据分析与挖掘实战》随书源码与数据

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

Curated list of Python resources for data science.

Este repositório está destinado ao processo de aprendizagem da biblioteca Pandas.

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

The foundational library of the Morpheus data science framework

No description or website provided.

Python Client and Toolkit for DataFrames, Big Data, Machine Learning and ETL in Elasticsearch

Loan Application Data Analysis

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

A simple Python wrapper to download tweets data from the Twitter Analytics platform. Particularly interesting for the impressions metrics that are unavailable on current Twitter API. Also works for the videos data.

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

Universal Reddit Scraper - A comprehensive Reddit scraping command-line tool written in Python.

서울시 공무원의 업무추진비를 분석하여 진짜 맛집 찾기 프로젝트

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

open source for wechat-official-account (ID: PyDataLab)

Practical Data Science with Ruby based tools.

DataFrame Library for Java

model-describer : Making machine learning interpretable to humans

Introduction to Data Science

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

Dex : The Data Explorer -- A data visualization tool written in Java/Groovy/JavaFX capable of powerful ETL and publishing web visualizations.

TSrepr: R package for time series representations

List of tools & datasets for anomaly detection on time-series data.

A proofreader for your data

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

the `pipeline` shell command

Analyze Data with Pandas-based Networks. Documentation:

数据可视化, 数据挖掘, 数据处理 ETL

Woodwork is a Python library that provides robust methods for managing and communicating data typing information.

Lock-free MPMC Ring Buffer (Generic) for SMP, in golang. Some posts in chinese:

NFStream: a Flexible Network Data Analysis Framework.

source{d} Community Edition (CE)

Routines and data structures for using isarn-sketches idiomatically in Apache Spark

Functional data science