Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, Du…

A playground to experience Gravitino

Apache Paimon Rust The rust implementation of Apache Paimon.

Apache Paimon Rust The rust implementation of Apache Paimon.

Apache DataFusion SQL Query Engine

Apache DataFusion SQL Query Engine

Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.

Open, Multi-modal Catalog for Data & AI

Z80 open-source silicon clone. Goal is to become a silicon proven, pin compatible, open-source replacement for classic Z80.

Apache Spark Kubernetes Operator

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

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Apache DataFusion Comet Spark Accelerator

KubeBlocks is an open-source control plane software that runs and manages databases, message queues and other stateful applications on K8s.

Apache Celeborn is an elastic and high-performance service for shuffle and spilled data.

The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams

Accelerate LLM with low-bit (FP4 / INT4 / FP8 / INT8) optimizations using ipex-llm

Flink Connector for Apache Doris

World's most powerful open data catalog for building a high-performance, geo-distributed and federated metadata lake.

Apache Celeborn Site

Restate examples

Restate is the platform for building resilient applications that tolerate all infrastructure faults w/o the need for a PhD.

A series of large language models trained from scratch by developers @01-ai

A cloud native implementation for Apache RocketMQ 5.0

AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.

Wangle is a framework providing a set of common client/server abstractions for building services in a consistent, modular, and composable way.

Lakehouse storage system benchmark

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech