Search Results for "data structures"

GritQL is a query language designed to facilitate human-AI collaboration by providing an intuitive interface for querying and retrieving structured data. It acts as a bridge between AI models and databases, enabling natural language interaction with structured data sources.

...It features a syntax that blends familiarity from JavaScript and Rust, making it approachable for developers while maintaining expressive power through dynamic typing and simple constructs. Rhai is optimized for embedding, allowing developers to expose native Rust functions, types, and data structures directly to scripts, enabling seamless interoperability between compiled and interpreted code. The engine is designed with minimal reliance on unsafe code, prioritizing safety while still delivering efficient execution performance suitable for real-time applications. It supports a wide range of data types, including arrays, maps, and Unicode strings, as well as custom types defined in Rust, making it versatile for scripting complex logic.

tinysearch is a lightweight full-text search engine designed specifically for static websites, offering fast and efficient search capabilities without requiring a backend server. It is written in Rust and compiled to WebAssembly, allowing it to run entirely in the browser while maintaining a very small footprint. The engine uses compact data structures such as XOR filters to efficiently index and query text, significantly reducing memory usage compared to traditional search libraries. TinySearch is particularly well-suited for blogs and documentation sites generated by static site generators, where simplicity and performance are critical. It processes content into a serialized binary index that can be loaded quickly and searched client-side, eliminating the need for external search services. ...

Library with support for de/serialization on block data structures and key/address generation and scanning related to Monero cryptocurrency.

Gleam's powerful static type system helps find and prevent bugs at compile time, long before it reaches your users. It also serves as a productive refactoring tool, enabling programmers to confidently make large changes to unfamiliar code, quickly and with low risk. For problems, the type system can't solve (such as your server being hit by a bolt of lightning) the Erlang virtual machine provides well-tested mechanisms for gracefully handling failure. Hunting down bugs can be stressful so...

...We also have the RFCs repository for more high-level discussion, which is the place where we brainstorm ideas and propose substantial changes to Crossbeam. If you'd like to learn more about concurrency and non-blocking data structures, there's a list of learning resources in our wiki, which includes relevant blog posts, papers, videos, and other similar projects. The Crossbeam project adheres to the Rust Code of Conduct. This describes the minimum behavior expected from all contributors.

Parser for Rust source code is a major Rust crate for parsing Rust source code (token streams) into a syntax tree (AST) that procedural macros can inspect or transform. The primary target is macro authors: you can parse TokenStreams into syn::File, syn::Item, syn::Expr, syn::Type, etc. It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only compile what you need. The documentation emphasises that while the crate is geared for procedural macros (and custom derives), some of the APIs may be of more general use. ...

Voy is a lightweight WebAssembly-based vector similarity search engine written in Rust that enables semantic search capabilities directly in browser or edge environments. It is designed to operate on embeddings generated from text or other data, allowing applications to perform meaning-based search rather than simple keyword matching. The engine uses efficient data structures such as k-d trees to index vectors and perform fast nearest-neighbor queries, making it suitable for real-time search experiences. One of its key advantages is its extremely small footprint, allowing it to be deployed easily on CDNs or client-side applications without significant overhead. ...