Search Results for "distributed hash table"
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12 projects for "distributed hash table" with 2 filters applied:
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Hypermind
The high-availability solution to a problem that doesn't exist
Hypermind is a whimsical yet technically intriguing decentralized application that combines a peer-to-peer (P2P) network counter with ephemeral chat functionality, built to “solve” the meta-problem of tracking how many peers are running its container in a decentralized mesh. There’s no central server or database; instead, Hypermind leverages a Distributed Hash Table (DHT) using Hyperswarm to discover peers and maintain approximate counts of active nodes, architected to be a fully decentralized service. Alongside counting nodes, the project also supports ephemeral chat over its mesh network, allowing users to send messages directly to local peers or broadcast via a gossip protocol without storing chat history. ... -
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match-sorter
Simple, expected, and deterministic best-match sorting
...It also offers control over diacritics handling, allowing you to strip or keep accents depending on the UX you want. Distributed via npm and usable in both Node and browser environments. -
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HighwayHash
Fast strong hash functions: SipHash/HighwayHash
HighwayHash is a fast, keyed hash function intended for scenarios where you need strong, DoS-resistant hashing without the full overhead of a general-purpose cryptographic hash. It’s designed to defeat hash-flooding attacks by mixing input with wide SIMD operations and a branch-free inner loop, so adversaries can’t cheaply craft many colliding keys. The implementation targets multiple CPU families with vectorized code paths while keeping a portable fallback, yielding high throughput across... -
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Smallpond
A lightweight data processing framework built on DuckDB and 3FS
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... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Apache Flink
Stream processing framework with powerful stream
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. -
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Apache Drill
Apache Drill is a distributed MPP query layer for self describing data
Apache Drill is a distributed MPP query layer that supports SQL and alternative query languages against NoSQL and Hadoop data storage systems. It was inspired in part by Google's Dremel. Get faster insights without the overhead (data loading, schema creation and maintenance, transformations, etc.) Analyze the multi-structured and nested data in non-relational datastores directly without transforming or restricting the data. Leverage your existing SQL skillsets and BI tools including Tableau,... -
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...It is designed to offer for C programmers common data structures with powerful algorithms, and hidden implementation. Available structures are lists, queues, stacks, hash tables, binary trees, binary search trees, red-black trees, 2D arrays, permutations, heaps and interval heaps. GDSL is free software distributed under the terms of the GNU General Public License.
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JavaScript MD5
Compatible with server-side environments like node.js
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... -
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Personal Blog
One article per week, the content is concise, neither salty nor light
...This makes the repo act as a navigable table of contents and knowledge map for a large body of Chinese-language backend engineering content. It also includes “toolbox” and miscellaneous categories. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Generic DHT (Distributed Hash Table) library. At the moment support included for eDonkey's overnet DHT through an implementation that provides interface to KadC library.
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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.
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distDES is a Java RMI-based application which manages load balancing on heterogeneous clusters. Development will extend the theoretical initial implementation to include clustered Rainbow Table generation and encryption algorithm collision detection.
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