RRepoGEO

REPOGEO REPORT · LITE

data61/MP-SPDZ

Default branch master · commit 7bf16a74 · scanned 5/14/2026, 3:06:52 AM

GitHub: 1,149 stars · 358 forks

AI VISIBILITY SCORE
77 /100
Needs work
Category recall
2 / 2
Avg rank #4.5 when recommended
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 data61/MP-SPDZ, 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 MP-SPDZ as a versatile MPC solution

    Why:

    CURRENT
    This is a software to benchmark various secure multi-party computation (MPC) protocols in a variety of security models such as honest and dishonest majority, semi-honest/passive and malicious/active corruption. The underlying technologies span secret sharing, homomorphic encryption, and garbled circuits.
    COPY-PASTE FIX
    MP-SPDZ is a versatile framework for secure multi-party computation (MPC), enabling multiple parties to jointly compute on their private data without revealing individual inputs. It provides comprehensive support for a wide range of MPC protocols and security models, including honest and dishonest majority, semi-honest/passive, and malicious/active corruption. The framework leverages underlying technologies such as secret sharing, homomorphic encryption, and garbled circuits to offer a robust platform for developing and deploying MPC applications.
  • mediumhomepage#2
    Add the official documentation URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://mp-spdz.readthedocs.io/en/latest/
  • lowreadme#3
    Add a section to README clarifying the project's license

    Why:

    COPY-PASTE FIX
    ## License

This project is licensed under [Specify License(s) here, e.g., a custom license, or a combination of licenses]. Please refer to the `LICENSE` file for full details.

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
2 / 2
100% of queries surface data61/MP-SPDZ
Avg rank
#4.5
Lower is better. #1 = top recommendation.
Share of voice
13%
Of all named tools, what % are you?
Top rival
FHE.org
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. FHE.org · recommended 1×
  2. zama-ai/concrete · recommended 1×
  3. zama-ai/tfhe-rs · recommended 1×
  4. openfhe/openfhe · recommended 1×
  5. OpenMined/PySyft · recommended 1×
  • CATEGORY QUERY
    How can I securely compute on sensitive data distributed among multiple parties?
    you: #7
    AI recommended (in order):
    1. FHE.org
    2. Concrete (zama-ai/concrete)
    3. TFHE-rs (zama-ai/tfhe-rs)
    4. OpenFHE (openfhe/openfhe)
    5. PySyft (OpenMined/PySyft)
    6. Sharemind MPC
    7. MP-SPDZ (data61/MP-SPDZ) ← you
    8. IBM HElib (homenc/HElib)
    9. Conclave (conclave-project/conclave)
    Show full AI answer
  • CATEGORY QUERY
    What are the best frameworks for comparing different secure multi-party computation protocols and security models?
    you: #2
    AI recommended (in order):
    1. FRESCO
    2. MP-SPDZ ← you
    3. SCALE-MAMBA
    4. ABY
    5. Obliv-C
    6. Sharemind
    7. CrypTen
    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 data61/MP-SPDZ?
    pass
    AI named data61/MP-SPDZ explicitly

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

  • If a team adopts data61/MP-SPDZ in production, what risks or prerequisites should they evaluate first?
    pass
    AI named data61/MP-SPDZ 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 data61/MP-SPDZ solve, and who is the primary audience?
    pass
    AI named data61/MP-SPDZ 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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