Home/Compare/PiSSA vs llm-app

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

PiSSA logo

PiSSA

MuLabPKU/PiSSA

429pushed Jun 30, 2025
vs
llm-app logo

llm-app

pathwaycom/llm-app

59kpushed Jul 5, 2026

Trust & integrity

SignalPiSSAllm-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

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 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.