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fabio-rovai/open-ontologies

Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.

Rust ◇ ai-native MIT
★1.1KSTARS
⑂139FORKS
!16ISSUES
🏆#7,088GLOBAL RANK
🔥15DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

open-ontologies is open-ontologies is an open-source project written in Rust: Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of October 2026), fabio-rovai/open-ontologies has accumulated 1,057 GitHub stars and 139 forks. It is written in Rust, licensed under MIT, and ranks #7,088 globally. It is actively maintained with the latest commit recorded on Oct 14, 2026.”
Repository fabio-rovai/open-ontologies ↗
Primary Category ai native
Language & Stack Rust
Software License MIT
Community Traction ★ 1.1K stars · ⑂ 139 forks · #7,088 globally
Maintenance ● Active (Last commit: Oct 14, 2026) · 16 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: 92/100 · Grade A
✅
Is open-ontologies actively maintained in 2026?
Verdict: Actively Maintained

Yes, open-ontologies is actively maintained. Continuous telemetry recorded the last code commit on Oct 14, 2026 (16 days ago). Supported by 1,057 stars and 139 community forks, this repository holds a calculated health index of 92/100, reflecting regular maintenance (16 days ago) and healthy issue cadence.

Commit Recency
Oct 14, 2026
16 days since last push
Issue Backlog
16 Open Issues
Healthy Issue Cadence
Community Backing
139 Forks
1.1K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for fabio-rovai/open-ontologies
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Momentum

+26

STARS · LAST 30 DAYS

1

PER DAY

#689

MOST-STARRED Rust

Window7 days30 days90 days
Stars gained+0+26+90
Per day111
Forks gained+0+3+10

open-ontologies gained 26 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 1 year old and has averaged roughly 1.1K stars a year. It ranks #689 among Rust repositories and #7,088 across all languages on GitHubRepo.

Trending Record

open-ontologies has maintained a continuous presence across global trending indexes, peaking at #7097. Below is the 30-day activity profile:

💡 Overview

open-ontologies is an open-source project written in Rust: Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-native, description-logics, formal-verification. 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 open-ontologies

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Rust toolchain (rustc / cargo >= 1.70)

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

open-ontologies 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

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with open-ontologies.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install open-ontologies using your package manager: `cargo install open-ontologies`

2

Initialize your project workspace or configuration file for open-ontologies.

3

Import open-ontologies into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 1,057 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT 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

fabio-rovai/open-ontologies is currently ranked #7,088 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#7,079 pgplex/pgschema Go ★ 1.1K Compare ↗
#7,084 rhomobile/rhodes C ★ 1.1K Compare ↗
#7,084 AmauriC/tarteaucitron.js JavaScript ★ 1.1K Compare ↗
#7,084 jdx/usage Rust ★ 1.1K Compare ↗
#7,084 NVlabs/cutile-rs Rust ★ 1.1K Compare ↗
#7,088 fabio-rovai/open-ontologies This Project Rust ★ 1.1K
#7,088 libxmljs/libxmljs C++ ★ 1.1K Compare ↗
#7,088 apache/phoenix Java ★ 1.1K Compare ↗
#7,088 aimeos/ai-laravel PHP ★ 1.1K Compare ↗
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Frequently Asked Questions

What does open-ontologies do? +

Plan, apply and roll back changes to a production ontology, with a blast radius report and a proof an auditor can re-check.

Is open-ontologies actively maintained in 2026? +

Yes, open-ontologies is actively maintained. The latest code push was recorded on Oct 14, 2026 (16 days ago). It holds a calculated Maintenance Health Score of 92/100 (A rating) with 1,057 stars and 16 open issues.

What language is open-ontologies written in? +

The primary language is Rust. Topics include: ai-native, description-logics, formal-verification, infrastructure-as-code, isabelle-language.

How many stars does open-ontologies have? +

open-ontologies has 1,057 stars and 139 forks on GitHub.

How does open-ontologies rank among GitHub repositories? +

With 1,057 stars, fabio-rovai/open-ontologies is ranked #7,088 globally across all repositories tracked on GitHubRepo and #689 among Rust projects.

What license is open-ontologies distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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