Comparison
PiSSA vs llm-app
Verdict
Pick PiSSA when tags unique to PiSSA: fine-tuning, jupyter notebook, peft, quantization; pick llm-app when requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
Markdown twin · PiSSA alternatives · llm-app alternatives
GraphCanon updated today
Trust & integrity
| Signal | PiSSA | llm-app |
|---|---|---|
| Maintenance | Dormant (376d since push) As of today · github_public_v1 | Very active (5d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- PiSSA
- PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight)
- llm-app
- Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Stars
- PiSSA
- 429
- llm-app
- 59k
Forks
- PiSSA
- 22
- llm-app
- 1.4k
Open issues
- PiSSA
- 16
- llm-app
- 10
Language
- PiSSA
- Jupyter Notebook
- llm-app
- Jupyter Notebook
Adopt for
- PiSSA
- -
- llm-app
- llm-app offers pre-configured cloud deployment templates designed specifically for creating AI-driven applications such as chatbots and machine learning projects leveraging Hugging Face models. It supports direct integrz
Persona
- PiSSA
- -
- llm-app
- -
Runtime
- PiSSA
- -
- llm-app
- -
License
- PiSSA
- -
- llm-app
- MIT
Last pushed
- PiSSA
- Jun 30, 2025
- llm-app
- Jul 5, 2026
Categories
- PiSSA
- Inference & Serving, LLM Frameworks, Vector Databases
- llm-app
- Data & Retrieval, LLM Frameworks, Vector Databases
Trust and health
Maintenance
- PiSSA
- Dormant (18%)
- llm-app
- Very active (96%)
Days since push
- PiSSA
- 376d
- llm-app
- 5d
Open issues (now)
- PiSSA
- 16
- llm-app
- 10
Full report
- PiSSA
- Trust report
- llm-app
- Trust report
Choose PiSSA if…
- Tags unique to PiSSA: fine-tuning, jupyter notebook, peft, quantization.
- Also covers Inference & Serving.
When NOT to use PiSSA
- Last GitHub push was 377 days ago (dormant maintenance, Jun 30, 2025). Validate activity before betting a new project on PiSSA.
- Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Choose llm-app if…
- Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others..
- Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation.
- Also covers Data & Retrieval.
- - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
When NOT to use llm-app
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app.
- - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (MuLabPKU/PiSSA) · observed Jul 11, 2026
- GitHub forks (MuLabPKU/PiSSA) · observed Jul 11, 2026
- Last push (MuLabPKU/PiSSA) · observed Jun 30, 2025
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (pathwaycom/llm-app) · observed Jul 11, 2026
- GitHub forks (pathwaycom/llm-app) · observed Jul 11, 2026
- Last push (pathwaycom/llm-app) · observed Jul 5, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: PiSSA 429 · llm-app 59k (synced Jul 11, 2026).
Common questions
- What is the difference between PiSSA and llm-app?
- PiSSA: PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models(NeurIPS 2024 Spotlight). llm-app: Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.. See the comparison table for live GitHub stats and shared categories.
- When should I choose PiSSA over llm-app?
- Choose PiSSA over llm-app when Tags unique to PiSSA: fine-tuning, jupyter notebook, peft, quantization; Also covers Inference & Serving.
- When should I choose llm-app over PiSSA?
- Choose llm-app over PiSSA when Requirements: Requires Docker; The tool is Docker-friendly and designed to ensure synchronization with cloud-based storage solutions among others.; Tags unique to llm-app: chatbot, hugging-face, llm, retrieval-augmented-generation; Also covers Data & Retrieval; - You need a ready-to-run solution that directly integrates with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and live APIs.
- When should I avoid PiSSA?
- Last GitHub push was 377 days ago (dormant maintenance, Jun 30, 2025). Validate activity before betting a new project on PiSSA. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- When should I avoid llm-app?
- - You require custom deployment configurations that extend beyond the pre-set cloud templates available through llm-app. - There’s a need for tightly integrated support with data sources or APIs not explicitly mentioned, such as specialized CRM systems (Salesforce), which may lack direct template support in llm-app.
- Is PiSSA or llm-app more popular on GitHub?
- llm-app has more GitHub stars (59,068 vs 429). Stars measure visibility, not whether either tool fits your constraints.
- Are PiSSA and llm-app open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to PiSSA or llm-app?
- GraphCanon lists graph-backed alternatives at PiSSA alternatives and llm-app alternatives (PiSSA markdown twin, llm-app 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, PiSSA or llm-app?
- PiSSA: Dormant. llm-app: Very active. 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 PiSSA and llm-app?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: PiSSA trust report; llm-app trust report.