Teaching tool and debugging aid in context of references, mutable data types, and shallow and deep copy.
⚡ Executive Summary & Quick Facts
Authoritative Sourcememory_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..
“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+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.
Star History
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Momentum
+28
STARS · LAST 30 DAYS
1
PER DAY
#1,181
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +28 | +90 |
| Per day | 1 | 1 | 1 |
| 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
4
DAYS ON TRENDING
#11877
BEST RANK
Nov 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
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
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 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
Install memory_graph using your package manager: `pip install memory_graph`
Initialize your project workspace or configuration file for memory_graph.
Import memory_graph into your codebase or invoke it directly from your terminal.
Execute your test suite or run `memory_graph --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
bterwijn/memory_graph is currently ranked #8,130 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #8,121 | sirius-db/sirius | C++ | ★ 1.1K | Compare ↗ |
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| #8,130 | bterwijn/memory_graph This Project | Python | ★ 1.1K | |
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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.