data-analysis

Probably the best curated list of data science software in Python.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

A desktop application for viewing and analyzing tabular data

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

Extract data from a wide range of Internet sources into a pandas DataFrame.

An open source alternative to Tableau. Embeddable visual analytic

Beautiful, open source, WebGPU-based charting library

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

a delightful machine learning tool that allows you to train, test, and use models without writing code

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

Visualize and compare datasets, target values and associations, with one line of code.

Apache DevLake is an open-source dev data platform to ingest, analyze, and visualize the fragmented data from DevOps tools, extracting insights for engineering excellence, developer experience, and community growth.

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

C++ DataFrame for statistical, financial, and ML analysis in modern C++

The fastest business intelligence tool for humans and agents.

A unified framework for privacy-preserving data analysis and machine learning

Jupyter extensions that help you write code faster: Context aware AI Chat, Autocomplete, and Spreadsheet

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的现代化声明式数据可视化图表框架,支持柱状图、条形图、折线图、曲线图、折线填充图、曲线填充图、气泡图、扇形图、环形图、散点图、雷达图、混合图等各种类型的多达几十种的信息图图表,完全满足工作所需.

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features.

Instant offline SQL-powered data visualisation in your browser

Actively curated list of awesome BI tools. PRs welcome!

Datart is a next generation Data Visualization Open Platform

Jupyter notebook and datasets from the pandas video series

This repository helps you learn Python and Machine Learning from scratch.

The modern replacement for Jupyter Notebooks