The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.

React component for visualizing profiling data

Handbook of geometry for competitive programmers

This is the driver for JDBC connectivity to a cluster running with OpenSearch SQL support.

Lightweight Multiplatform logging framework for Kotlin. A convenient and performant logging facade.

Business intelligence as code: build fast, interactive data visualizations in SQL and markdown

SaaS-simple deployment of Kubernetes - on your own hardware.

Protocol Buffers with small code size

Powerful, elegant and flexible test framework for Kotlin with assertions, property testing and data driven tests.

assertions for kotlin inspired by assertj

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

📷 ESP32 Bluetooth Remote Library for Canon cameras

DSPy: The framework for programming—not prompting—language models

Privacy and Security focused Segment-alternative, in Golang and React

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Manage your dotfiles across multiple diverse machines, securely.

Time-Series-Optimized Transformer for Observability

Golang LRU cache

A declarative PySpark framework for row- and aggregate-level data quality validation.

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

Complete open-source monitoring and observability platform.

Fast and Accurate ML in 3 Lines of Code

Chronos: Pretrained Models for Time Series Forecasting

Rust bindings to the Java Native Interface — JNI

Synthetic data generators for tabular and time-series data

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Extension for more hyperfunctions, fully compatible with TimescaleDB and PostgreSQL 📈

Easy and intuitive generation of synthetic timeseries for Python.

A Multipurpose Library for Synthetic Time Series Generation in Python

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.