Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
- data-analysis
- pandas
- flexible
- alignment
47,133 repositories indexed
1–23 of 23 · Most stars
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
🕸️ Web apps in pure Python 🐍
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Sloc, Cloc and Code: scc is a very fast accurate code counter with complexity calculations and COCOMO estimates written in pure Go
📱📈An elegant, interactive and flexible charting library for mobile.
Fast, flexible and easy to use probabilistic modelling in Python.
:bar_chart: A library of modular chart components built on D3
D3 based data-focused charting library. Designed with passion. Flexible.
A flexible, intuitive and fast forecasting library
moDel Agnostic Language for Exploration and eXplanation
Flexible command line tool to create graphs from CSV data
Compose complex, data-driven visualizations from reusable charts and components with d3
Amazing animations available with MagicPie!
TTK - Topological Data Analysis and Visualization - Source Code
Flare is an ActionScript library for creating visualizations that run in the Adobe Flash Player. From basic charts and graphs to complex interactive graphics, the toolkit supports data management, visual encoding, animation, and interaction techniques.
JQuick-Pdf is an enterprise-grade Java PDF generation framework. It provides HTML-like declarative syntax and supports more than 30 kinds of graphs, greatly simplifying complex PDF report creation while retaining full native pdfbox(since version 4.0.0) APIs.
An R package to flexible rearrange, reshape and aggregate data
Wrapper around react-flexbox-grid for Plotly Dash
Pure Go library for reading and writing MATLAB .mat files (v5-v7.3+). No CGo, no external dependencies. Full support for numeric types, complex numbers, and multi-dimensional arrays. Cross-platform (Windows/Linux/macOS). Part of SciGoLib ecosystem.
Translated🗺️ Research Data Map — AI-driven global research visualization platform | Research Data Map with 250M+ papers
A Neovim plugin for seamless integration with Jupyter Notebooks through Jupyter Ascending
R package that provides complex systems datasets from the Colorado Index of Complex Networks (ICON) at https://icon.colorado.edu/.
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.