RRepoGEO

REPOGEO REPORT · LITE

FudanNLP/fastNLP

Default branch master · commit e03d2ddb · scanned 5/29/2026, 7:32:15 PM

GitHub: 3,148 stars · 449 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
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 FudanNLP/fastNLP, 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 README opening to emphasize lightweight, modular, and Chinese NLP focus

    Why:

    CURRENT
    fastNLP是一款轻量级的自然语言处理（NLP）工具包，目标是减少用户项目中的工程型代码，例如数据处理循环、训练循环、多卡运行等。
    COPY-PASTE FIX
    fastNLP是一款轻量级、模块化、可扩展的深度学习自然语言处理（NLP）工具包，旨在简化和加速NLP模型开发，尤其在中文NLP任务上表现出色。它致力于减少用户项目中的工程型代码，例如数据处理循环、训练循环、多卡运行等。
  • mediumabout#2
    Enhance 'about' description to highlight Chinese NLP and core differentiators

    Why:

    CURRENT
    fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
    COPY-PASTE FIX
    fastNLP: A lightweight, modular, and extensible deep learning NLP framework, optimized for rapid development and efficient handling of Chinese language processing tasks. Currently still in incubation.
  • mediumcomparison#3
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison with Alternatives

While frameworks like Hugging Face Transformers and spaCy offer broad NLP capabilities, fastNLP distinguishes itself by providing a lightweight, modular, and highly extensible environment specifically designed for rapid prototyping and experimentation of deep learning NLP models, with a particular focus on simplifying complex engineering tasks and strong support for Chinese language processing. Unlike some larger frameworks, fastNLP prioritizes ease of use and efficiency for researchers and developers looking to quickly iterate on NLP experiments.

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 FudanNLP/fastNLP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
spaCy
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. spaCy · recommended 2×
  2. Hugging Face Transformers · recommended 1×
  3. PyTorch-Lightning · recommended 1×
  4. Keras · recommended 1×
  5. Flair · recommended 1×
  • CATEGORY QUERY
    Seeking a lightweight and modular NLP framework to streamline deep learning model development.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. spaCy
    3. PyTorch-Lightning
    4. Keras
    5. Flair

    AI recommended 5 alternatives but never named FudanNLP/fastNLP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust NLP libraries for efficiently handling Chinese language processing tasks?
    you: not recommended
    AI recommended (in order):
    1. spaCy
    2. Jieba
    3. HanLP
    4. THULAC
    5. FudanNLP

    AI recommended 5 alternatives but never named FudanNLP/fastNLP. 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 FudanNLP/fastNLP?
    pass
    AI named FudanNLP/fastNLP explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite