RRepoGEO

REPOGEO REPORT · LITE

nolabs-ai/deepfabric

Default branch main · commit 12622bc3 · scanned 6/24/2026, 11:32:08 PM

GitHub: 875 stars · 83 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 nolabs-ai/deepfabric, 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
  • highabout#1
    Reposition the repository description to clarify core purpose

    Why:

    CURRENT
    Generate High-Quality Synthetics, Train, Measure, and Evaluate in a Single Pipeline
    COPY-PASTE FIX
    Generate high-quality synthetic training data for LLM agent behavior and evaluation, including tool-calling patterns.
  • mediumtopics#2
    Refine topics to emphasize agentic synthetic data generation

    Why:

    CURRENT
    agents, ai, data-science, dataset, distillation, evaluation, fine-tuning, huggingface, huggingface-datasets, machine-learning, open, open-source, python, source, synthetic, synthetic-data, unsloth
    COPY-PASTE FIX
    agents, ai, data-science, dataset, distillation, evaluation, fine-tuning, huggingface, huggingface-datasets, machine-learning, open, open-source, python, source, synthetic, synthetic-data, unsloth, llm-agents, synthetic-data-generation, agent-evaluation, tool-calling
  • lowreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README, for example, 'DeepFabric vs. Other Tools' or 'Why DeepFabric?', that explicitly clarifies its unique focus on *generating synthetic data for agent training and evaluation*, differentiating it from general LLM frameworks or foundational models.

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 nolabs-ai/deepfabric
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Anthropic Claude · recommended 1×
  3. Mistral AI · recommended 1×
  4. Hugging Face Transformers Library · recommended 1×
  5. Snorkel AI · recommended 1×
  • CATEGORY QUERY
    How to generate high-quality synthetic training data for agentic systems and language models?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Anthropic Claude
    3. Mistral AI
    4. Hugging Face Transformers Library
    5. Snorkel AI
    6. Rasa
    7. Synthetic Data Vault (SDV)

    AI recommended 7 alternatives but never named nolabs-ai/deepfabric. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help evaluate LLM agent behavior using synthetic data with tool-calling patterns?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LangSmith
    3. LlamaIndex (run-llama/llama_index)
    4. OpenAI Evals (openai/evals)
    5. Giskard (GiskardAI/giskard)
    6. MLflow (mlflow/mlflow)
    7. pytest (pytest-dev/pytest)

    AI recommended 7 alternatives but never named nolabs-ai/deepfabric. 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 nolabs-ai/deepfabric?
    pass
    AI named nolabs-ai/deepfabric explicitly

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

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