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andreagemelli/doc2graph

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Jupyter Notebook ◇ deep-learning MIT
★142STARS
⑂28FORKS
!0ISSUES
🏆#21,062GLOBAL RANK
🔥4DAYS TRENDING
🚀
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⚡ Executive Summary & Quick Facts

Authoritative Source

doc2graph is doc2graph is an open-source project written in Jupyter Notebook: Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), andreagemelli/doc2graph has accumulated 142 GitHub stars and 28 forks. It is written in Jupyter Notebook, licensed under MIT, and ranks #21,062 globally. It is actively maintained with the latest commit recorded on Nov 3, 2026.”
Repository andreagemelli/doc2graph ↗
Primary Category deep learning
Language & Stack Jupyter Notebook
Software License MIT
Community Traction ★ 142 stars · ⑂ 28 forks · #21,062 globally
Maintenance ● Active (Last commit: Nov 3, 2026) · 0 open issues
Target Audience Developers and engineering teams building with Jupyter Notebook, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is doc2graph actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, doc2graph is actively maintained. Continuous telemetry recorded the last code commit on Nov 3, 2026 (5 days ago). Supported by 142 stars and 28 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 3, 2026
5 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
28 Forks
142 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for andreagemelli/doc2graph
CSV
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#17

MOST-STARRED Jupyter Notebook

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

doc2graph gained 10 stars in the last 30 days, about 1 a day, and now has 142. It is about 5 years old and has averaged roughly 28 stars a year. It ranks #17 among Jupyter Notebook repositories and #21,062 across all languages on GitHubRepo.

Trending Record

doc2graph has maintained a continuous presence across global trending indexes, peaking at #19682. Below is the 30-day activity profile:

💡 Overview

doc2graph is an open-source project written in Jupyter Notebook: Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Engineered for speed, consistency, and developer ease, it solves common hurdles in deep-learning, document-understanding, geometric-deep-learning. 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 Jupyter Notebook 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
$ git clone https://github.com/andreagemelli/doc2graph.git
cd doc2graph

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Jupyter Notebook environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

doc2graph coordinates its core functionality through a modular Jupyter Notebook 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 doc2graph into Jupyter Notebook 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 MIT license.

🚀 Getting Started

1

Install doc2graph using your package manager: `git clone https://github.com/andreagemelli/doc2graph.git`

2

Initialize your project workspace or configuration file for doc2graph.

3

Import doc2graph into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `doc2graph --help` to verify successful setup.

👍 Strengths

Active community backing with 142 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Jupyter Notebook 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 Jupyter Notebook 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.

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👥 Who Should Use This

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

🏆 Nearby in the Rankings

andreagemelli/doc2graph is currently ranked #21,062 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#20,987 Riley-Coyote/mnemos-mcp Python ★ 143 Compare ↗
#20,987 dufu1991/foldgit Swift ★ 143 Compare ↗
#20,987 Balanov/svoi JavaScript ★ 143 Compare ↗
#20,987 openrobokit/roboskills Python ★ 143 Compare ↗
#20,987 Arcanum-Sec/SpikeStrip JavaScript ★ 143 Compare ↗
#21,062 andreagemelli/doc2graph This Project Jupyter Notebook ★ 142
#21,062 sethfitz/oauth-proxy Python ★ 142 Compare ↗
#21,062 FormulaMonks/contest Ruby ★ 142 Compare ↗
#21,062 rahmal/rconfig Ruby ★ 142 Compare ↗
#21,062 mbabineau/cloudviz HTML ★ 142 Compare ↗
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Frequently Asked Questions

What does doc2graph do? +

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

Is doc2graph actively maintained in 2026? +

Yes, doc2graph is actively maintained. The latest code push was recorded on Nov 3, 2026 (5 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 142 stars and 0 open issues.

What language is doc2graph written in? +

The primary language is Jupyter Notebook. Topics include: deep-learning, document-understanding, geometric-deep-learning, gnn, key-information-extraction.

How many stars does doc2graph have? +

doc2graph has 142 stars and 28 forks on GitHub.

How does doc2graph rank among GitHub repositories? +

With 142 stars, andreagemelli/doc2graph is ranked #21,062 globally across all repositories tracked on GitHubRepo and #17 among Jupyter Notebook projects.

What license is doc2graph distributed under? +

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

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