Starred repositories
Secure local dev environment for collaboration with AI coding agents
Rivers is an orchestration platform for data and ML pipelines, written in Rust for native performance with a Python-first development experience.
Native Polars I/O plugin for Delta Lake, backed by delta-kernel-rs.
Optimize prompts, code, and more with AI-powered Reflective Optimization
Unleash the performance potential of your Parquet files.
.NET bindings for Apache DataFusion query engine - execute blazing-fast SQL queries on Parquet, CSV, and JSON with Apache Arrow
A high-performance, SIMD-optimized, pure C library for reading and writing Apache Parquet files.
A minimal Python library for Apache Arrow, connecting to the Rust Arrow crate
Debug your GitHub Actions via SSH by using tmate to get access to the runner system itself.
Repository for the Go-based MLflow Tracking Server
Import Rust source files directly from Python!
Command-line sampling profiler for macOS, Linux, and Windows
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
Polars extension for general data science use cases
High accuracy RAG for answering questions from scientific documents with citations
Multi-platform high-performance compute language extension for Rust.
Main repository of the zim desktop wiki project
Efficient Random Sampling: Parallel, Vectorized, Cache-Efficient, and Online
Experiment tracking server focused on speed and scalability
An MSBuild extension to check for required packages and versions
ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp
An MSBuild project file linter to validate project file as part of build process