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bterwijn
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bterwijn/memory_graph

Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.

★1.1KSTARS
⑂81FORKS
!0ISSUES
🏆#8,130GLOBAL RANK
🔥4DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

memory_graph is memory_graph is an open-source project written in Python: Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy..

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), bterwijn/memory_graph has accumulated 1,104 GitHub stars and 81 forks. It is written in Python, licensed under BSD-2-Clause, and ranks #8,130 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
Repository bterwijn/memory_graph ↗
Primary Category python3 data visualization debugging education
Language & Stack Python
Software License BSD-2-Clause
Community Traction ★ 1.1K stars · ⑂ 81 forks · #8,130 globally
Maintenance ● Active (Last commit: Nov 9, 2026) · 0 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: 97/100 · Grade A+
✅
Is memory_graph actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, memory_graph is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (3 days ago). Supported by 1,104 stars and 81 community forks, this repository holds a calculated health index of 97/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Nov 9, 2026
3 days since last push
Issue Backlog
0 Open Issues
Healthy Issue Cadence
Community Backing
81 Forks
1.1K Stars Recorded
Software License
BSD-2-Clause
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for bterwijn/memory_graph
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Momentum

+28

STARS · LAST 30 DAYS

1

PER DAY

#1,181

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+7+28+90
Per day111
Forks gained+1+3+10

memory_graph gained 28 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 3 years old and has averaged roughly 368 stars a year. It ranks #1,181 among Python repositories and #8,130 across all languages on GitHubRepo.

Trending Record

memory_graph has maintained a continuous presence across global trending indexes, peaking at #11877. Below is the 30-day activity profile:

💡 Overview

memory_graph is an open-source project written in Python: Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.

Engineered for speed, consistency, and developer ease, it solves common hurdles in python3-data-visualization-debugging-education. 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 Python 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
$ pip install memory_graph

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

memory_graph 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 memory_graph 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 BSD-2-Clause license.

🚀 Getting Started

1

Install memory_graph using your package manager: `pip install memory_graph`

2

Initialize your project workspace or configuration file for memory_graph.

3

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

4

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

👍 Strengths

Active community backing with 1,104 GitHub stars and verified adoption.
Permissive open-source distribution under the BSD-2-Clause license.
Built in Python 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 Python 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 Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

bterwijn/memory_graph is currently ranked #8,130 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does memory_graph do? +

Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.

Is memory_graph actively maintained in 2026? +

Yes, memory_graph is actively maintained. The latest code push was recorded on Nov 9, 2026 (3 days ago). It holds a calculated Maintenance Health Score of 97/100 (A+ rating) with 1,104 stars and 0 open issues.

What language is memory_graph written in? +

The primary language is Python. Topics include: python3-data-visualization-debugging-education.

How many stars does memory_graph have? +

memory_graph has 1,104 stars and 81 forks on GitHub.

How does memory_graph rank among GitHub repositories? +

With 1,104 stars, bterwijn/memory_graph is ranked #8,130 globally across all repositories tracked on GitHubRepo and #1,181 among Python projects.

What license is memory_graph distributed under? +

The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.

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