RRepoGEO

REPOGEO REPORT · LITE

pytorch/tensordict

Default branch main · commit a7c94377 · scanned 6/25/2026, 4:41:54 PM

GitHub: 1,031 stars · 115 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)

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

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 pytorch/tensordict, 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
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    pytorch, tensor, data-structure, machine-learning, deep-learning, reinforcement-learning, container, nested-data
  • highreadme#2
    Strengthen the README's opening statement to clarify its unique role

    Why:

    CURRENT
    **TensorDict is a batched, nested `dict[str, Tensor]` that behaves like a tensor.**
    COPY-PASTE FIX
    **TensorDict is a PyTorch-native, tensor-like container for efficiently managing and manipulating batched, nested collections of tensors, offering unified operations beyond what standard Python dicts or generic data loaders provide.**
  • mediumhomepage#3
    Set the repository homepage to the official documentation

    Why:

    COPY-PASTE FIX
    https://docs.pytorch.org/tensordict/stable/

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 pytorch/tensordict
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch `DataLoader`
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch `DataLoader` · recommended 1×
  2. TensorFlow `tf.data.Dataset` · recommended 1×
  3. Hugging Face `Datasets` library · recommended 1×
  4. NumPy arrays · recommended 1×
  5. JAX `jax.tree_util` · recommended 1×
  • CATEGORY QUERY
    How to efficiently handle collections of batched tensors with consistent batch dimensions?
    you: not recommended
    AI recommended (in order):
    1. PyTorch `DataLoader`
    2. TensorFlow `tf.data.Dataset`
    3. Hugging Face `Datasets` library
    4. NumPy arrays
    5. JAX `jax.tree_util`
    6. Apache Arrow / PyArrow

    AI recommended 6 alternatives but never named pytorch/tensordict. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a container for nested tensor data that supports unified batch operations.
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. JAX
    3. TensorFlow
    4. Awkward Array
    5. Xarray
    6. NumPy

    AI recommended 6 alternatives but never named pytorch/tensordict. 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 pytorch/tensordict?
    pass
    AI named pytorch/tensordict explicitly

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

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

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

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pytorch/tensordict — 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