RRepoGEO

REPOGEO REPORT · LITE

facebookresearch/hiplot

Default branch main · commit 1aac48aa · scanned 5/12/2026, 8:36:47 AM

GitHub: 2,801 stars · 149 forks

AI VISIBILITY SCORE
35 /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
3 / 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 facebookresearch/hiplot, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening sentence to emphasize its niche

    Why:

    CURRENT
    HiPlot is a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data using parallel plots and other graphical ways to represent information.
    COPY-PASTE FIX
    HiPlot is a lightweight, interactive visualization tool specifically designed for AI researchers to explore and understand high-dimensional data from machine learning experiments, leveraging parallel coordinates plots and other graphical methods to reveal correlations and patterns.
  • mediumreadme#2
    Explicitly highlight HiPlot's core differentiator in the README

    Why:

    COPY-PASTE FIX
    It excels at providing streamlined, interactive linked views, prominently featuring parallel coordinates plots, making it ideal for comparing experimental runs, hyperparameter sweeps, and discovering subtle patterns in complex datasets.

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 facebookresearch/hiplot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorboard
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorboard · recommended 1×
  2. lmcinnes/umap · recommended 1×
  3. plotly/dash · recommended 1×
  4. streamlit/streamlit · recommended 1×
  5. pair-code/facets · recommended 1×
  • CATEGORY QUERY
    What tools help visualize high-dimensional data interactively for machine learning experiments?
    you: not recommended
    AI recommended (in order):
    1. TensorBoard (tensorflow/tensorboard)
    2. UMAP (Uniform Manifold Approximation and Projection) (lmcinnes/umap)
    3. Plotly Dash (plotly/dash)
    4. Streamlit (streamlit/streamlit)
    5. Facets (pair-code/facets)
    6. Manifold (uber/manifold)
    7. Yellowbrick (DistrictDataLabs/yellowbrick)

    AI recommended 7 alternatives but never named facebookresearch/hiplot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I visualize complex data patterns using parallel coordinates plots in a Jupyter notebook?
    you: not recommended
    AI recommended (in order):
    1. Plotly Express
    2. Altair
    3. Plotly Graph Objects
    4. Pandas
    5. Matplotlib
    6. Seaborn
    7. Yellowbrick
    8. hvPlot
    9. HoloViews
    10. Panel

    AI recommended 10 alternatives but never named facebookresearch/hiplot. 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 facebookresearch/hiplot?
    pass
    AI named facebookresearch/hiplot explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts facebookresearch/hiplot in production, what risks or prerequisites should they evaluate first?
    pass
    AI named facebookresearch/hiplot 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 facebookresearch/hiplot solve, and who is the primary audience?
    pass
    AI named facebookresearch/hiplot explicitly

    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 facebookresearch/hiplot. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/facebookresearch/hiplot.svg)](https://repogeo.com/en/r/facebookresearch/hiplot)
HTML
<a href="https://repogeo.com/en/r/facebookresearch/hiplot"><img src="https://repogeo.com/badge/facebookresearch/hiplot.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

facebookresearch/hiplot — 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