Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
⚡ Executive Summary & Quick Facts
Authoritative Sourceauto-ontology is auto-ontology is an open-source project written in Python: Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), NVIDIA/auto-ontology has accumulated 11,184 GitHub stars and 916 forks. It is written in Python, licensed under Apache-2.0, and ranks #1,498 globally. It is actively maintained with the latest commit recorded on Nov 10, 2026.”
| Repository | NVIDIA/auto-ontology ↗ |
|---|---|
| Primary Category | developer tools |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 11.2K stars · ⑂ 916 forks · #1,498 globally |
| Maintenance | ● Active (Last commit: Nov 10, 2026) · 104 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 100/100 · Grade A+Yes, auto-ontology is actively maintained. Continuous telemetry recorded the last code commit on Nov 10, 2026 (3 days ago). Supported by 11,184 stars and 916 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+280
STARS · LAST 30 DAYS
9
PER DAY
#252
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +63 | +280 | +810 |
| Per day | 9 | 9 | 9 |
| Forks gained | +5 | +18 | +46 |
auto-ontology gained 280 stars in the last 30 days, about 9 a day, and now has 11.2K. It is about 1 year old and has averaged roughly 11.2K stars a year. It ranks #252 among Python repositories and #1,498 across all languages on GitHubRepo.
Trending Record
4
DAYS ON TRENDING
#702
BEST RANK
Nov 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
auto-ontology has maintained a continuous presence across global trending indexes, peaking at #702. Below is the 30-day activity profile:
💡 Overview
auto-ontology is an open-source project written in Python: Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install auto-ontology⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
auto-ontology coordinates its core functionality through a modular Python 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
Production System Integration
Embed auto-ontology into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open Apache-2.0 license.
🚀 Getting Started
Install auto-ontology using your package manager: `pip install auto-ontology`
Initialize your project workspace or configuration file for auto-ontology.
Import auto-ontology into your codebase or invoke it directly from your terminal.
Execute your test suite or run `auto-ontology --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NVIDIA/auto-ontology is currently ranked #1,498 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #1,493 | google/osv-scanner | Go | ★ 11.2K | Compare ↗ |
| #1,494 | QuentinFuxa/WhisperLiveKit | Python | ★ 11.2K | Compare ↗ |
| #1,495 | huggingface/tokenizers | Rust | ★ 11.2K | Compare ↗ |
| #1,496 | imgproxy/imgproxy | Go | ★ 11.2K | Compare ↗ |
| #1,497 | tweepy/tweepy | Python | ★ 11.2K | Compare ↗ |
| #1,498 | NVIDIA/auto-ontology This Project | Python | ★ 11.2K | |
| #1,499 | mRemoteNG/mRemoteNG | C# | ★ 11.2K | Compare ↗ |
| #1,500 | voxel51/fiftyone | TypeScript | ★ 11.2K | Compare ↗ |
| #1,501 | dmtrKovalenko/fff | Rust | ★ 11.2K | Compare ↗ |
| #1,502 | langchain-ai/open-swe | Python | ★ 11.2K | Compare ↗ |
| #1,503 | trailhq/Trail-Code | TypeScript | ★ 11.2K | Compare ↗ |
Frequently Asked Questions
What does auto-ontology do? +
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.
Is auto-ontology actively maintained in 2026? +
Yes, auto-ontology is actively maintained. The latest code push was recorded on Nov 10, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 11,184 stars and 104 open issues.
What language is auto-ontology written in? +
The primary language is Python. Topics include: software.
How many stars does auto-ontology have? +
auto-ontology has 11,184 stars and 916 forks on GitHub.
How does auto-ontology rank among GitHub repositories? +
With 11,184 stars, NVIDIA/auto-ontology is ranked #1,498 globally across all repositories tracked on GitHubRepo and #252 among Python projects.
What license is auto-ontology distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
