Search Results for "distributed hash table"

smallpond is a lightweight distributed data processing framework built by DeepSeek, designed to scale DuckDB workloads over clusters using their 3FS (Fire-Flyer File System) backend. The idea is to preserve DuckDB’s fast analytics engine but lift it from single-node to multi-node settings, giving you the ability to operate on large datasets (e.g. petabyte scale) without moving to a heavyweight system like Spark. Users write Python-like code (via DataFrame APIs or SQL strings) to express...

Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with.

JavaScript-MD5 is a small, dependency-free implementation of the MD5 hashing algorithm written entirely in JavaScript, designed to run consistently across browsers, Node.js, and popular module loaders. It allows you to generate MD5 hashes from strings, arrays, ArrayBuffers, and other binary-like data types, making it useful for checksums, fingerprinting, and simple integrity checks on the client or server. The library is exposed as a plain function, so usage is as simple as calling...

Entangled is a distributed hash table (DHT) and peer-to-peer tuple space, based on Kademlia. It is written in Python, and makes use of the Twisted framework. This can be used as a base for creating peer-to-peer (P2P) network applications.