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Pometry/Raphtory

Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust

Rust ◇ analytics GPL-3.0
★651STARS
⑂71FORKS
!127ISSUES
🏆#10,832GLOBAL RANK
🔥6DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

Raphtory is Raphtory is an open-source project written in Rust: Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Pometry/Raphtory has accumulated 651 GitHub stars and 71 forks. It is written in Rust, licensed under GPL-3.0, and ranks #10,832 globally. It is actively maintained with the latest commit recorded on Nov 4, 2026.”
Repository Pometry/Raphtory ↗
Primary Category analytics
Language & Stack Rust
Software License GPL-3.0
Community Traction ★ 651 stars · ⑂ 71 forks · #10,832 globally
Maintenance ● Active (Last commit: Nov 4, 2026) · 127 open issues
Target Audience Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is Raphtory actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, Raphtory is actively maintained. Continuous telemetry recorded the last code commit on Nov 4, 2026 (8 days ago). Supported by 651 stars and 71 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 4, 2026
8 days since last push
Issue Backlog
127 Open Issues
Healthy Issue Cadence
Community Backing
71 Forks
651 Stars Recorded
Software License
GPL-3.0
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for Pometry/Raphtory
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Momentum

+16

STARS · LAST 30 DAYS

1

PER DAY

#1,042

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+16+90
Per day111
Forks gained+0+3+10

Raphtory gained 16 stars in the last 30 days, about 1 a day, and now has 651. It is about 9 years old and has averaged roughly 72 stars a year. It ranks #1,042 among Rust repositories and #10,832 across all languages on GitHubRepo.

Trending Record

Raphtory has maintained a continuous presence across global trending indexes, peaking at #12718. Below is the 30-day activity profile:

💡 Overview

Raphtory is an open-source project written in Rust: Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust.

Engineered for speed, consistency, and developer ease, it solves common hurdles in analytics, database, embedded-database. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Rust for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ cargo install Raphtory

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

Raphtory coordinates its core functionality through a modular Rust pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

High-Throughput Storage

Persist and retrieve structured data records with minimal latency and high concurrency.

In-Memory Caching

Accelerate application response times by caching frequently queried database entities.

Analytical Queries

Run aggregate metrics and point lookups across large sets of records.

Distributed Replication

Synchronize state across multiple cluster nodes with strong consistency guarantees.

🚀 Getting Started

1

Install Raphtory using your package manager: `cargo install Raphtory`

2

Initialize your project workspace or configuration file for Raphtory.

3

Import Raphtory into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `Raphtory --help` to verify successful setup.

👍 Strengths

Active community backing with 651 GitHub stars and verified adoption.
Permissive open-source distribution under the GPL-3.0 license.
Built in Rust for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Rust and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

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👥 Who Should Use This

Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Pometry/Raphtory is currently ranked #10,832 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#10,821 kirill-grouchnikov/aurora Kotlin ★ 652 Compare ↗
#10,821 Farama-Foundation/Procgen2 C++ ★ 652 Compare ↗
#10,821 yaklang/yaklang Go ★ 652 Compare ↗
#10,821 lofcz/LLMTornado C# ★ 652 Compare ↗
#10,821 liangmianya/dsh-synapse JavaScript ★ 652 Compare ↗
#10,832 Pometry/Raphtory This Project Rust ★ 651
#10,832 rmm5t/strip_attributes Ruby ★ 651 Compare ↗
#10,832 Team-Tea-Time/laravel-forum PHP ★ 651 Compare ↗
#10,832 caxlsx/caxlsx Ruby ★ 651 Compare ↗
#10,832 sebaslogen/resaca Kotlin ★ 651 Compare ↗
#10,832 pumPCin/HMAL Kotlin ★ 651 Compare ↗
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Frequently Asked Questions

What does Raphtory do? +

Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust

Is Raphtory actively maintained in 2026? +

Yes, Raphtory is actively maintained. The latest code push was recorded on Nov 4, 2026 (8 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 651 stars and 127 open issues.

What language is Raphtory written in? +

The primary language is Rust. Topics include: analytics, database, embedded-database, graph, graph-database.

How many stars does Raphtory have? +

Raphtory has 651 stars and 71 forks on GitHub.

How does Raphtory rank among GitHub repositories? +

With 651 stars, Pometry/Raphtory is ranked #10,832 globally across all repositories tracked on GitHubRepo and #1,042 among Rust projects.

What license is Raphtory distributed under? +

The repository reports a GPL-3.0 license. Always verify the repository LICENSE file for legal terms.

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