RRepoGEO

REPOGEO REPORT · LITE

OpenNMT/OpenNMT-tf

Default branch master · commit 6f3b952e · scanned 5/22/2026, 2:01:50 AM

GitHub: 1,484 stars · 378 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
68 /100
Needs work
Category recall
1 / 2
Avg rank #3.0 when recommended
Rule findings
2 pass · 0 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 OpenNMT/OpenNMT-tf, 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 'sequence-learning' and 'sequence-classification' to topics

    Why:

    CURRENT
    deep-learning, machine-translation, natural-language-processing, neural-machine-translation, opennmt, python, tensorflow
    COPY-PASTE FIX
    deep-learning, machine-translation, natural-language-processing, neural-machine-translation, opennmt, python, tensorflow, sequence-learning, sequence-classification
  • mediumreadme#2
    Add a dedicated 'Supported Tasks and Use Cases' section to the README

    Why:

    COPY-PASTE FIX
    Add a new H2 section in the README, for example, after 'Key features', titled 'Supported Tasks and Use Cases'. In this section, explicitly list and briefly describe how OpenNMT-tf can be applied to sequence classification, sequence tagging, and language modeling, alongside neural machine translation, perhaps with small code snippets or links to relevant examples.
  • lowabout#3
    Update the repository description to more explicitly highlight its general-purpose nature for various sequence tasks

    Why:

    CURRENT
    Neural machine translation and sequence learning using TensorFlow
    COPY-PASTE FIX
    A general-purpose toolkit for neural machine translation, sequence learning, and classification using TensorFlow.

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
1 / 2
50% of queries surface OpenNMT/OpenNMT-tf
Avg rank
#3.0
Lower is better. #1 = top recommendation.
Share of voice
10%
Of all named tools, what % are you?
Top rival
TensorFlow Text
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Text · recommended 2×
  2. Keras · recommended 2×
  3. Hugging Face Transformers · recommended 2×
  4. fairseq · recommended 1×
  5. TensorFlow Addons · recommended 1×
  • CATEGORY QUERY
    Looking for a Python framework to build neural machine translation systems with TensorFlow.
    you: #3
    AI recommended (in order):
    1. TensorFlow Text
    2. Keras
    3. OpenNMT-tf ← you
    4. Hugging Face Transformers
    5. fairseq
    Show full AI answer
  • CATEGORY QUERY
    What are good toolkits for sequence learning and classification using TensorFlow 2?
    you: not recommended
    AI recommended (in order):
    1. Keras
    2. Hugging Face Transformers
    3. TensorFlow Addons
    4. TensorFlow Text
    5. Sonnet

    AI recommended 5 alternatives but never named OpenNMT/OpenNMT-tf. 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 OpenNMT/OpenNMT-tf?
    pass
    AI named OpenNMT/OpenNMT-tf explicitly

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

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

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

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OpenNMT/OpenNMT-tf — 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