Janus-Series: Unified Multimodal Understanding and Generation Models

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Apache XTable (incubating) is a cross-table converter for lakehouse table formats that facilitates interoperability across data processing systems and query engines.

Ultra-Lightweight Durable Execution in Python

DuckDB is an analytical in-process SQL database management system

Stocator is high performing connector to object storage for Apache Spark, achieving performance by leveraging object storage semantics.

Upserts, Deletes And Incremental Processing on Big Data.

checks all of the hyperlinks in a markdown text to determine if they are alive or dead

Provision remote development environments via Terraform

Qbeast-spark: DataSource enabling multi-dimensional indexing and efficient data sampling. Big Data, free from the unnecessary!

An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs

A Gateway for connecting application services in different domains, networks, and cloud infrastructures

LLMs for your CLI

Memray is a memory profiler for Python

Kubernetes-native Job Queueing

A Cloud Native Batch System (Project under CNCF)

A flexible and scalable platform for running Kubernetes control plane APIs.

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Machine Learning Pipelines for Kubeflow

CMU-DB's Cascades optimizer framework

Panel: The powerful data exploration & web app framework for Python

Anonymized version of six datasets taken from IBM's DataStage™ production systems and can be used for frequent subgraph mining

A simple and fast dashboard for Kubernetes

A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

⎈ Multi pod and container log tailing for Kubernetes -- Friendly fork of https://github.com/wercker/stern

Holistic job manager on Kubernetes

Enabling Kubernetes to make pod placement decisions with platform intelligence.

A framework for writing performant user-defined functions (UDFs) that are portable across a variety of engines including Apache Spark, Apache Hive, and Presto.