REPOGEO REPORT · LITE

valeman/awesome-conformal-prediction

Default branch main · commit 9ace0967 · scanned 6/20/2026, 3:57:31 PM

GitHub: 1,250 stars · 117 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

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 valeman/awesome-conformal-prediction, 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

Refine README opening to clarify role as a discovery hub

Why:

CURRENT

⭐ **The definitive resource for conformal prediction: methods, libraries, tutorials, benchmarks, and production guides.**

COPY-PASTE FIX

⭐ **The definitive resource for conformal prediction: a curated hub to discover and understand leading methods, libraries, tutorials, benchmarks, and production guides, helping you choose the right tools for your needs.**

mediumhomepage#2
Add repository URL to homepage metadata
Why:
COPY-PASTE FIX
```
https://github.com/valeman/awesome-conformal-prediction
```

mediumlicense#3

Add license clarification to README

Why:

COPY-PASTE FIX

## License

This project is licensed under the terms found in the [LICENSE file](LICENSE).

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 valeman/awesome-conformal-prediction

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

nonconformist

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

nonconformist · recommended 1×
MAPIE · recommended 1×
statsmodels · recommended 1×
LightGBM · recommended 1×
XGBoost · recommended 1×

CATEGORY QUERY
How to quantify prediction uncertainty in machine learning models reliably?
you: not recommended
AI recommended (in order):
1. nonconformist
2. MAPIE
3. statsmodels
4. LightGBM
5. XGBoost
6. PyTorch
7. Pyro
8. TensorFlow Probability
9. edward2
10. TensorFlow
11. scikit-learn
12. GPyTorch
AI recommended 12 alternatives but never named valeman/awesome-conformal-prediction. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Where can I find comprehensive resources on building robust prediction intervals?
you: not recommended
AI recommended (in order):
1. Prediction Intervals for Machine Learning by Christoph Molnar
2. Scikit-learn (scikit-learn/scikit-learn)
3. Forecasting: Principles and Practice (Hyndman and Athanasopoulos)
4. Statsmodels (statsmodels/statsmodels)
5. Conformal Prediction
6. PyTorch Forecasting (jdb78/pytorch-forecasting)
7. TensorFlow Probability (tensorflow/probability)
AI recommended 7 alternatives but never named valeman/awesome-conformal-prediction. 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 valeman/awesome-conformal-prediction?
pass
AI did not name valeman/awesome-conformal-prediction — 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 valeman/awesome-conformal-prediction in production, what risks or prerequisites should they evaluate first?
pass
AI named valeman/awesome-conformal-prediction 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 valeman/awesome-conformal-prediction solve, and who is the primary audience?
pass
AI did not name valeman/awesome-conformal-prediction — 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 valeman/awesome-conformal-prediction. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/valeman/awesome-conformal-prediction.svg)](https://repogeo.com/en/r/valeman/awesome-conformal-prediction)

HTML

<a href="https://repogeo.com/en/r/valeman/awesome-conformal-prediction"><img src="https://repogeo.com/badge/valeman/awesome-conformal-prediction.svg" alt="RepoGEO" /></a>

Pro

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valeman/awesome-conformal-prediction — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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