# dylanhogg/awesome-python architecture

> Architecture diagram of the GitHub repository dylanhogg/awesome-python, generated by GitDiagram from its file tree, README and a sample of source files (last updated 2026-10-12). It is an AI-made overview: check details against the source.

- Interactive diagram: https://gitdiagram.com/dylanhogg/awesome-python
- Repository: https://github.com/dylanhogg/awesome-python

## Overview

This repository is a hand-curated Python project directory, organized into topic categories, with a section highlighting newly created repositories. The README also points readers to an interactive version. The tree includes CSV, JSON, and Parquet files named as GitHub data, but the available evidence does not establish how they relate to the catalog or to one another, so they are shown without inferred connections.

Main entry points: [`README.md`](https://github.com/dylanhogg/awesome-python/blob/main/README.md) (Python catalog)

## Diagram (Mermaid)

```mermaid
flowchart TD

subgraph group_catalog["Curated catalog"]
  node_catalog_readme["Python catalog<br/>[README.md]"]
  node_categories["Topic categories<br/>[README.md]"]
  node_new_repos["New repositories<br/>[README.md]"]
end

subgraph group_data["Data files"]
  node_csv_data["GitHub data CSV<br/>[github_data.csv]"]
  node_json_data["GitHub data JSON<br/>[github_data.json]"]
  node_parquet_data["GitHub data Parquet"]
end

node_reader(("Reader"))
node_interactive_site["Interactive version"]

node_reader -->|"browses"| node_catalog_readme
node_catalog_readme -->|"organizes by"| node_categories
node_catalog_readme -->|"highlights"| node_new_repos
node_reader -->|"visits"| node_interactive_site

click node_catalog_readme "https://github.com/dylanhogg/awesome-python/blob/main/README.md"
click node_categories "https://github.com/dylanhogg/awesome-python/blob/main/README.md"
click node_new_repos "https://github.com/dylanhogg/awesome-python/blob/main/README.md"
click node_csv_data "https://github.com/dylanhogg/awesome-python/blob/main/github_data.csv"
click node_json_data "https://github.com/dylanhogg/awesome-python/blob/main/github_data.json"
click node_parquet_data "https://github.com/dylanhogg/awesome-python/blob/main/github_data.parquet"

classDef toneNeutral fill:#f8fafc,stroke:#334155,stroke-width:1.5px,color:#0f172a
classDef toneBlue fill:#dbeafe,stroke:#2563eb,stroke-width:1.5px,color:#172554
classDef toneAmber fill:#fef3c7,stroke:#d97706,stroke-width:1.5px,color:#78350f
classDef toneMint fill:#dcfce7,stroke:#16a34a,stroke-width:1.5px,color:#14532d
classDef toneRose fill:#ffe4e6,stroke:#e11d48,stroke-width:1.5px,color:#881337
classDef toneIndigo fill:#e0e7ff,stroke:#4f46e5,stroke-width:1.5px,color:#312e81
classDef toneTeal fill:#ccfbf1,stroke:#0f766e,stroke-width:1.5px,color:#134e4a
class node_catalog_readme,node_categories,node_new_repos toneBlue
class node_csv_data,node_json_data,node_parquet_data toneAmber
class node_reader,node_interactive_site toneIndigo
```

## Components

### Curated catalog

- [Python catalog](https://github.com/dylanhogg/awesome-python/blob/main/README.md): `README.md`
- [Topic categories](https://github.com/dylanhogg/awesome-python/blob/main/README.md): `README.md`
- [New repositories](https://github.com/dylanhogg/awesome-python/blob/main/README.md): `README.md`

### Data files

- [GitHub data CSV](https://github.com/dylanhogg/awesome-python/blob/main/github_data.csv): `github_data.csv`
- [GitHub data JSON](https://github.com/dylanhogg/awesome-python/blob/main/github_data.json): `github_data.json`
- [GitHub data Parquet](https://github.com/dylanhogg/awesome-python/blob/main/github_data.parquet): `github_data.parquet`

### Other components

- **Reader**
- **Interactive version**

## Connections

- Reader → Python catalog: browses (evidence: `README.md`)
- Python catalog → Topic categories: organizes by (evidence: `README.md`)
- Python catalog → New repositories: highlights (evidence: `README.md`)
- Reader → Interactive version: visits (evidence: `README.md`)