Trending Projects

Python code for causal inference, a book by Miguel Hernán and James Robins.

A Python library that implements database internals from scratch, useful for learning database concepts.

A Rust library that enables querying Excel spreadsheets using SQLite, making data extraction and analysis more efficient.

A Python toolbox for seismology and seismological observatories, providing tools for data processing and analysis.

A Python library for reading, manipulating, and writing data in various spreadsheet file formats.

Trill is a single-node query processor for temporal or streaming data.

Notebooks for financial economics, including analyses of Federal Reserve, GDP, inflation, and more.

A PyTorch library for data loading and utility functions shared across PyTorch domain libraries.

A JavaScript library for working with multidimensional arrays, useful for data visualization and scientific computing.

An embedded time-series database written in Go for storing and querying metrics data.

Anatomy of Matplotlib tutorial for SciPy conference, focused on data visualization for scientific computing.

A color palette package in R inspired by works at the Metropolitan Museum of Art in New York.

An automatic DBMS configuration tool for optimizing database performance.

A high-performance, open-source data processing pipeline for ingesting Kafka data and sending it to Elasticsearch.

A high-performance logical replication extension for PostgreSQL that enables fast, cross-version database replication.

A scalable, distributed ETL framework for building data lake analytics pipelines.

A comprehensive Julia library for probability distributions and related statistical functions.

A comprehensive knowledge hub for data engineering, machine learning, and MLOps tools and practices.

GraphFrames provides DataFrame-based Graphs for Apache Spark, enabling scalable graph analysis and algorithms.

A library for generating MaxMind GeoIP2 databases for China IP addresses.

This GitHub repository provides tutorials on effectively using the Pandas library for data analysis.

Mycelite is a SQLite extension that enables replication between SQLite instances.

ADAM is a genomics analysis platform with specialized file formats built using Apache Spark and Apache Parquet.

SnappyData is a memory-optimized analytics database based on Apache Spark and Apache Geode, enabling real-time stream processing, transactions, and predictive analytics.

Compilation of R and Python programming codes for data science and machine learning projects.

Data quality assessment and reporting tool for data frames and database tables in R

A time series library for Apache Spark that provides a high-level API for working with time series data.

LevelDB key/value database in Go for building high-performance data-intensive applications.

A C++ implementation of the Python NumPy library for scientific computing and numerical analysis.

A versatile app for querying, scripting, and visualizing data from various databases, files, and APIs.

GridDB is a fast and scalable open-source database for time-series IoT and big data applications.

Starter code for working with the YouTube-8M dataset, a large-scale video understanding dataset.

A JavaScript library that converts CSV and tab-delimited data to web-friendly formats like JSON and XML.

A versatile ORM for multiple databases including MySQL, SQLite, MariaDB, PostgreSQL, and MongoDB in Deno.

An Internet-scale distributed database system built on C++, inspired by Google's Bigtable.

Apache Kudu is a high-performance, open-source columnar storage engine for large datasets in the Apache Hadoop ecosystem.

A high-performance, memory-efficient Python data analysis library for handling large datasets.

A collection of procedures for the Neo4j graph database, providing advanced graph algorithms and utilities.

A Python library for processing and visualizing satellite imagery data.

A JavaScript statistical library that provides a wide range of statistical functions for data analysis.

This R library provides historical investment returns analysis for the overall stock market.

ggplot2 is a powerful data visualization library for R that provides elegant and flexible graphics.

A collection of articles and source code on using the pandas data analysis library.

A popular Scala library for parsing and manipulating JSON data in Scala applications.

A collection of efficient Python tricks and tools for data scientists to improve their productivity.

Firebird is a relational database management system (RDBMS) suitable for a wide range of applications from desktop to client-server to large databases.

A powerful 3D visualization library for scientific data in Python.

pandasql is a Python library that allows developers to use SQL syntax to query Pandas DataFrames.

A tool to easily import CSV and JSON data into PostgreSQL databases.

A fast, hierarchical key-value storage engine written in C++ for applications that require high performance and scalability.