REPOGEO REPORT · LITE

src-d/awesome-machine-learning-on-source-code

Default branch master · commit ffe96369 · scanned 5/11/2026, 6:33:23 AM

GitHub: 6,576 stars · 837 forks

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 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 src-d/awesome-machine-learning-on-source-code, 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

highreadme#1

Reposition the 'unmaintained' notice in README

Why:

CURRENT

The README's first content after the title is the unmaintained notice.

COPY-PASTE FIX

Ensure the README's structure places the main descriptive paragraph (e.g., 'A curated list of awesome research papers...') immediately after the title, and the 'Notice: This repository is no longer actively maintained...' section *after* this initial description.

mediumreadme#2

Add archival context to README's opening description

Why:

CURRENT

A curated list of awesome research papers, datasets and software projects devoted to machine learning _and_ source code. #MLonCode

COPY-PASTE FIX

This repository is an archive of a curated list of awesome research papers, datasets, and software projects devoted to machine learning _and_ source code. It serves as a valuable historical reference for the #MLonCode domain.

lowhomepage#3
Add repository URL as homepage
Why:
COPY-PASTE FIX
```
https://github.com/src-d/awesome-machine-learning-on-source-code
```

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 src-d/awesome-machine-learning-on-source-code

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Awesome Static Analysis

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Awesome Static Analysis · recommended 1×
CodeSearchNet Challenge · recommended 1×
Hugging Face Transformers · recommended 1×
DeepCode · recommended 1×
GitHub Copilot · recommended 1×

CATEGORY QUERY
Where can I find resources for applying machine learning techniques to analyze source code?
you: not recommended
AI recommended (in order):
1. Awesome Static Analysis
2. CodeSearchNet Challenge
3. Hugging Face Transformers
4. DeepCode
5. GitHub Copilot
6. Mining Software Repositories (MSR) Conference Proceedings
7. Program Analysis and Machine Learning (PAML) Workshops/Tutorials
AI recommended 7 alternatives but never named src-d/awesome-machine-learning-on-source-code. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What research papers and datasets exist for neural networks in software engineering?
you: not recommended
AI recommended (in order):
1. Codex/GPT-3 for Code
2. CodeBERT
3. GraphCodeBERT
4. DeepFix
5. CodeRetriever
6. CodeSearchNet Corpus
7. BigQuery Public Datasets
8. CodeXGLUE
9. ManySStuBs4J
10. QuixBugs
11. CoNaLa
12. APPS
13. The Stack
14. GitHub Code
AI recommended 14 alternatives but never named src-d/awesome-machine-learning-on-source-code. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
Suggestion:
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 src-d/awesome-machine-learning-on-source-code?
pass
AI did not name src-d/awesome-machine-learning-on-source-code — 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 src-d/awesome-machine-learning-on-source-code in production, what risks or prerequisites should they evaluate first?
pass
AI named src-d/awesome-machine-learning-on-source-code 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 src-d/awesome-machine-learning-on-source-code solve, and who is the primary audience?
pass
AI did not name src-d/awesome-machine-learning-on-source-code — 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?

Embed your GEO score

Drop this badge into the README of src-d/awesome-machine-learning-on-source-code. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/src-d/awesome-machine-learning-on-source-code.svg)](https://repogeo.com/en/r/src-d/awesome-machine-learning-on-source-code)

HTML

<a href="https://repogeo.com/en/r/src-d/awesome-machine-learning-on-source-code"><img src="https://repogeo.com/badge/src-d/awesome-machine-learning-on-source-code.svg" alt="RepoGEO" /></a>

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