Trending Projects

A Rust library for serializing and deserializing data in the Rusty Object Notation (RON) format.

A parallel processing library for Pandas that improves performance on multi-core CPUs.

A Python database adapter for PostgreSQL, allowing developers to interact with their databases.

A collection of Jupyter Notebook files focused on data visualization and machine learning concepts.

The Data Transfer Project enables direct transfer of user data between online service providers.

A Python library for extracting tabular data from PDF files, useful for data processing and analysis.

A SQL database explorer supporting multiple database engines like SQLite, PostgreSQL, and MySQL.

Koalas is a pandas-like API for Apache Spark, enabling data scientists to work with big data using familiar pandas syntax.

A Go driver for the ClickHouse analytics database, enabling fast and efficient data processing.

A cloud-native PostgreSQL database developed by Alibaba Cloud for high-performance, scalable data storage and management.

A high-performance datastore for time series and tick data built on top of MongoDB.

OpenMapTiles is an open-source vector tile schema implementation for creating custom map tiles.

A Python library for comparing data across databases, supporting various database engines.

Comprehensive dataset of China's administrative divisions (province, city, county, town) in JSON, CSV, and SQL formats.

An open-source project that captures the public GitHub timeline and makes it accessible for analysis.

A Go library for creating high-quality plots and visualizations of data

Scalable and efficient data transformation framework with backwards compatibility for dbt.

A Python library for data sketching techniques like MinHash, LSH, HyperLogLog, and HNSW for approximate similarity search.

Collaborative offline-first SQLite wrapper for syncing app state across users & devices

A powerful data visualization and plotting library for the Julia programming language.

An in-process OLAP SQL Engine powered by ClickHouse, enabling fast and efficient data analysis.

A book on data science, covering topics from basic math to machine learning using Python and Jupyter Notebooks.

A comprehensive Python library for color science and color space conversions.

Rill is a tool for transforming data sets into powerful dashboards using SQL, enabling BI-as-code.

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

An ultra-lightweight database that supports key-value and time series data for embedded and IoT applications.

A curated list of community detection research papers with implementations for data science and network analysis.

A comprehensive dataset of ISO 3166-1 country codes and their corresponding UN Geoscheme regional codes, ready to use in various formats.

Malloy is an open-source language for describing data relationships and transformations.

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

Fast in-memory cache library for Go with low GC overhead, optimized for a large number of entries.

A Python library to access historical market data from the Binance cryptocurrency exchange.

Fast, single-binary C++ SQL ETL pipeline for stream processing, observability, analytics, and AI/ML.

Open source time series library for Python, useful for statistical analysis and modeling.

A simple Python library for creating dataclasses from dictionaries.

A collection of stock analysis tools across various programming languages and platforms.

An efficient and compressed N-dimensional array library for Python, useful for data scientists and ML engineers.

Irmin is a distributed database that follows the same design principles as Git, allowing for distributed version control of data.

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

This is a Python library for financial applications, not a tool for AI-powered vibe coders.

A community-driven wiki for learning data engineering, covering topics like data modeling, pipelines, and databases.

Fluid is a distributed data abstraction and acceleration framework for Big Data and AI applications on the cloud.

A Python package for time series classification, useful for developers working with time-series data.

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

A curated list of resources for machine learning-based algorithmic trading and quantitative finance.

A Python library for processing and visualizing satellite imagery data.

This is a data repository for the Seaborn data visualization library in Python.

An educational OLAP database system built in Rust for learning and experimentation.

Poisson Surface Reconstruction is a C++ library for reconstructing surfaces from point cloud data.

Highly available PostgreSQL cluster using Docker, focused on data infrastructure for developers.