REPOGEO REPORT · LITE

lukasmasuch/best-of-python

Default branch main · commit 784ced61 · scanned 6/28/2026, 11:02:28 AM

GitHub: 4,516 stars · 335 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface lukasmasuch/best-of-python, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

hightopics#1

Refine topics to clarify repo's nature as a list, not a tool

Why:

CURRENT

awesome, awesome-list, best-of, best-of-list, cli, collections, data-structures, library, pypi, python, python-framework, python-libraries, python-library, python-utilities, utilities, utility-library

COPY-PASTE FIX

awesome, awesome-list, best-of, best-of-list, python, curated-list, ranked-list, python-resource, library-recommendations, tool-recommendations

highreadme#2

Reposition README opening to highlight unique ranking methodology

Why:

CURRENT

This curated list contains 400 awesome open-source projects with a total of 2.1M stars grouped into 28 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers.

COPY-PASTE FIX

This curated list provides a unique ranking of 400 awesome open-source Python projects, calculated by a robust project-quality score based on various metrics from GitHub and package managers. Grouped into 28 categories, it helps you discover the best tools and libraries.

mediumabout#3

Enhance 'About' description to include unique ranking differentiator

Why:

CURRENT

🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.

COPY-PASTE FIX

🏆 A ranked list of awesome Python open-source libraries and tools, uniquely scored by project quality metrics. Updated weekly.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface lukasmasuch/best-of-python

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Awesome Python

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Awesome Python · recommended 1×
PyPI · recommended 1×
Real Python · recommended 1×
Kaggle Learn · recommended 1×
Datacamp · recommended 1×

CATEGORY QUERY
Where can I find a curated list of top-rated Python libraries for various tasks?
you: not recommended
AI recommended (in order):
1. Awesome Python
2. PyPI
3. Real Python
4. Kaggle Learn
5. Datacamp
6. Towards Data Science
7. GitHub
AI recommended 7 alternatives but never named lukasmasuch/best-of-python. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best open-source Python tools and utilities for my development needs?
you: not recommended
AI recommended (in order):
1. Poetry
2. Black
3. isort
4. Flake8
5. pytest
6. Jupyter Notebook / JupyterLab
7. cookiecutter
AI recommended 7 alternatives but never named lukasmasuch/best-of-python. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of lukasmasuch/best-of-python?
pass
AI did not name lukasmasuch/best-of-python — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts lukasmasuch/best-of-python in production, what risks or prerequisites should they evaluate first?
pass
AI named lukasmasuch/best-of-python explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo lukasmasuch/best-of-python solve, and who is the primary audience?
pass
AI did not name lukasmasuch/best-of-python — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite