Raphtory
Fastest Open-source Graph Analytics Tool
Listed in categories:
Artificial IntelligenceGitHubData & Analytics
Description
Raphtory is an in-memory vectorised graph database written in Rust with friendly Python APIs on top. It is blazingly fast, scales to hundreds of millions of edges on your laptop, and can be dropped into your existing pipelines with a simple pip install raphtory. It supports time traveling, full-text search, multilayer modeling, and advanced analytics beyond simple querying like automatic risk detection, dynamic scoring, and temporal motifs.
How to use Raphtory?
Raphtory is available for Python and Rust. For Python, you must be using version 3.8 or higher and can install via pip. For Rust, Raphtory is hosted on crates for Rust version 1.75 or higher and can be included in your project via cargo add. You can then create a graph, add nodes and edges, run algorithms, and explore the data using the provided APIs.
Core features of Raphtory:
1️⃣
Blazingly fast graph database
2️⃣
Supports time traveling
3️⃣
Full-text search capabilities
4️⃣
Multilayer modeling
5️⃣
Advanced analytics beyond simple querying
Why could be used Raphtory?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Graph analysis | ✅ | |
| # 2 | Temporal network analysis | ✅ | |
| # 3 | Dynamic scoring | ✅ | |
Who developed Raphtory?
Raphtory is developed by a team of open-source enthusiasts dedicated to providing a powerful and scalable graph database solution for developers and data analysts.