Data Analysis
Showing 36 of 376 projects
scikit-learn: machine learning in Python
A powerful Python library for data manipulation and analysis, providing fast, flexible data structures.
A powerful Python library for data analysis and manipulation, providing fast, flexible data structures.
Transform Python scripts into interactive web apps for data dashboards, reports, and chat apps in minutes.
Build and share machine learning web apps and demos in Python with minimal code.
A collection of 134 ready-to-use Agent Skills for scientific research, covering genomics, drug discovery, clinical analysis, and more.
An in-process analytical SQL database management system designed for high-performance data analysis.
An in-process analytical SQL database designed for fast, portable data analysis with rich SQL support.
An extremely fast query engine for DataFrames, written in Rust, with multi-language frontends.
A 10-week, 20-lesson curriculum teaching data science fundamentals through project-based learning and quizzes.
A web-based Swiss Army knife for encryption, encoding, compression, and data analysis operations.
A visual roadmap outlining the skills, technologies, and learning paths to become an Artificial Intelligence expert in 2022.
A Python library for building full-stack web applications with frontend and backend code entirely in Python.
Companion materials and IPython notebooks for the 'Python for Data Analysis' book, covering pandas, NumPy, and data science workflows.
A Python library that enables conversational data analysis on SQL, CSV, and parquet files using LLMs and RAG.
Open-source data integration platform for building ELT pipelines from APIs, databases, and files to data warehouses, lakes, and lakehouses.
Open-source interface for querying, analyzing, visualizing, and managing Elasticsearch data.
A real-time web log analyzer and interactive viewer that runs in terminal or browser for instant server monitoring.
A CLI tool for analyzing Claude Code/Codex CLI usage from local JSONL files.
A modern C++ toolkit for machine learning, computer vision, and data analysis applications.
A web-based mission control framework for visualizing telemetry data on desktop and mobile devices.
Statsmodels: statistical modeling and econometrics in Python
A fast command-line toolkit for indexing, slicing, analyzing, splitting, and joining CSV files, written in Rust.
A collection of Python scripts for backtesting quantitative trading strategies, including technical indicators, options strategies, and quantamental analysis.
A drop-in replacement for pandas that scales data analysis workflows to use all CPU cores and handle out-of-memory datasets.
A GPU-accelerated DataFrame library for tabular data processing, part of the RAPIDS data science suite.
A terminal spreadsheet multitool for exploring and arranging tabular data from various formats.
A comprehensive set of numeric libraries for Go, providing matrices, statistics, optimization, and graph algorithms.
A curated collection of tutorials and resources following the data scientist roadmap for learning essential data science skills.
A distributed caching platform that bridges computation frameworks and storage systems for large-scale analytics and ML workloads.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A collection of Jupyter notebooks with real-world examples for learning Python's pandas data analysis library.
A declarative graphics system for R that implements the Grammar of Graphics to create complex visualizations from data.
A collection of teaching materials, code, and data for data analysis and machine learning projects with accompanying blog posts.
A portable Python dataframe library that compiles to SQL and works with over 20 backends for unified data manipulation.
A comprehensive library for image processing in Python with algorithms for segmentation, filtering, morphology, and feature detection.
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