Refefer/propagon
Fast, large scale library for computing rankings and features based on various pairwise and graph algorithms
This tool helps analyze complex relationships within large datasets, such as competitive outcomes or network influence, by treating them as graphs. You provide data on connections or interactions (e.g., game results, website links), and it outputs calculated scores, rankings, or feature representations for each item or person. It's designed for analysts, researchers, or data scientists working with very large networks who need to understand hierarchies, importance, or group similar entities.
No commits in the last 6 months.
Use this if you need to rank entities like sports teams or chess players, identify influential nodes in a network (like important websites), or generate numerical representations (embeddings) of items based on their connections within a very large graph.
Not ideal if your data is small, not structured as a network, or if you need to perform general statistical analysis beyond graph-specific algorithms.
Stars
9
Forks
1
Language
Rust
License
—
Category
Last pushed
Sep 21, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/Refefer/propagon"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
hora-search/hora
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
lanterndata/lantern_extras
Routines for generating, manipulating, parsing, importing vector embeddings into Postgres tables
AXECAC/docs-search
Поиск контекста/файлов по словам.
headwaymaps/airmail
Experiments with offline geocoding
aarambh-darshan/rust-project-showcase
🚀 Comprehensive Rust systems programming portfolio featuring 10 high-performance projects:...