Comparison
SPIN vs SPPO
Verdict
Pick SPIN if sPIN is specialized for self-play fine-tuning in large language models through deep learning; pick SPPO if sPPO targets fine-tuning of large language models through Self-Play Preference Optimization within RLHF.
Markdown twin · SPIN alternatives · SPPO alternatives
GraphCanon updated today
Trust & integrity
| Signal | SPIN | SPPO |
|---|---|---|
| Maintenance | Dormant (837d since push) As of today · github_public_v1 | Dormant (578d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- SPIN
- Official implementation of Self-Play Fine-Tuning
- SPPO
- Official implementation of Self-Play Preference Optimization for fine-tuning large language models via RLHF
Stars
- SPIN
- 1.3k
- SPPO
- 589
Forks
- SPIN
- 106
- SPPO
- 48
Open issues
- SPIN
- 24
- SPPO
- 15
Language
- SPIN
- Python
- SPPO
- Python
Adopt for
- SPIN
- SPIN is specialized for self-play fine-tuning in large language models through deep learning.
- SPPO
- SPPO targets fine-tuning of large language models through Self-Play Preference Optimization within RLHF.
Persona
- SPIN
- -
- SPPO
- -
Runtime
- SPIN
- -
- SPPO
- -
License
- SPIN
- Apache-2.0
- SPPO
- Apache-2.0
Last pushed
- SPIN
- May 8, 2024
- SPPO
- Jan 23, 2025
Categories
- SPIN
- LLM Frameworks, Model Training
- SPPO
- LLM Frameworks, Model Training
Trust and health
Days since push
- SPIN
- 837d
- SPPO
- 578d
Open issues (now)
- SPIN
- 24
- SPPO
- 15
Stars delta
- SPIN
- +6 (30d)
- SPPO
- -1 (30d)
Full report
- SPIN
- Trust report
- SPPO
- Trust report
Choose SPIN if…
- When implementing self-play algorithms aimed at enhancing performance of large language models within constrained domains.
- More GitHub stars (1.3k vs 589) - visibility, not fit.
When NOT to use SPIN
- If your project strictly adheres to frameworks that do not incorporate self-play techniques for training or fine-tuning models.
- When prioritizing a model training framework that relies on supervised learning rather than the self-play methodology SPIN is based upon.
Choose SPPO if…
- Tags unique to SPPO: rlhf.
- Use if you aim to specialize in fine-tuning large language models with self-play techniques and reinforcement learning for enhancing model preferences.
- More recently updated (last pushed Jan 23, 2025).
When NOT to use SPPO
- Avoid SPPO if your project does not require or benefit from reinforcement learning mechanisms or the fine-tuning specifics provided through self-play methods.
- Do not use SPPO in scenarios where simpler model tuning approaches without self-play are adequate for achieving project goals, as it might introduce unnecessary complexity.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (uclaml/SPIN) · observed Aug 24, 2026
- GitHub forks (uclaml/SPIN) · observed Aug 24, 2026
- Last push (uclaml/SPIN) · observed May 8, 2024
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (uclaml/SPPO) · observed Aug 24, 2026
- GitHub forks (uclaml/SPPO) · observed Aug 24, 2026
- Last push (uclaml/SPPO) · observed Jan 23, 2025
- License file (Apache-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: SPIN 1.3k · SPPO 589 (synced Aug 24, 2026).
Common questions
- What is the difference between SPIN and SPPO?
- SPIN: Official implementation of Self-Play Fine-Tuning. SPPO: Official implementation of Self-Play Preference Optimization for fine-tuning large language models via RLHF. See the comparison table for live GitHub stats and shared categories.
- When should I choose SPIN over SPPO?
- Choose SPIN over SPPO when When implementing self-play algorithms aimed at enhancing performance of large language models within constrained domains; More GitHub stars (1.3k vs 589) - visibility, not fit.
- When should I choose SPPO over SPIN?
- Choose SPPO over SPIN when Tags unique to SPPO: rlhf; Use if you aim to specialize in fine-tuning large language models with self-play techniques and reinforcement learning for enhancing model preferences; More recently updated (last pushed Jan 23, 2025).
- When should I avoid SPIN?
- If your project strictly adheres to frameworks that do not incorporate self-play techniques for training or fine-tuning models. When prioritizing a model training framework that relies on supervised learning rather than the self-play methodology SPIN is based upon.
- When should I avoid SPPO?
- Avoid SPPO if your project does not require or benefit from reinforcement learning mechanisms or the fine-tuning specifics provided through self-play methods. Do not use SPPO in scenarios where simpler model tuning approaches without self-play are adequate for achieving project goals, as it might introduce unnecessary complexity.
- Is SPIN or SPPO more popular on GitHub?
- SPIN has more GitHub stars (1,254 vs 589). Stars measure visibility, not whether either tool fits your constraints.
- Are SPIN and SPPO open source?
- Yes - both are open-source projects on GitHub (SPIN: Apache-2.0, SPPO: Apache-2.0).
- Where can I find alternatives to SPIN or SPPO?
- GraphCanon lists graph-backed alternatives at SPIN alternatives and SPPO alternatives (SPIN markdown twin, SPPO markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, SPIN or SPPO?
- SPIN: Dormant. SPPO: Dormant. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for SPIN and SPPO?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SPIN trust report; SPPO trust report.