Comparison
awadb vs LlamaFactory
Verdict
Pick awadb when awadb is primarily C++; LlamaFactory is Python; pick LlamaFactory when llamaFactory is primarily Python; awadb is C++.
Markdown twin · awadb alternatives · LlamaFactory alternatives
GraphCanon updated today
Trust & integrity
| Signal | awadb | LlamaFactory |
|---|---|---|
| Maintenance | Dormant (614d since push) As of today · github_public_v1 | Very active (0d 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 |
| Security (OSV) | No criticals As of today · osv@v1 | No lockfile As of today · none |
Tagline
- awadb
- AI Native database for embedding vectors
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
Stars
- awadb
- 175
- LlamaFactory
- 73k
Forks
- awadb
- 16
- LlamaFactory
- 8.9k
Open issues
- awadb
- 4
- LlamaFactory
- 1.1k
Language
- awadb
- C++
- LlamaFactory
- Python
Adopt for
- awadb
- -
- LlamaFactory
- LlamaFactory is a sophisticated tool for fine-tuning numerous large language models and visual language models efficiently using various methods such as LoRA, QLoRA, RLHF, and quantization.
Persona
- awadb
- -
- LlamaFactory
- -
Runtime
- awadb
- -
- LlamaFactory
- -
License
- awadb
- Apache-2.0
- LlamaFactory
- Apache-2.0
Last pushed
- awadb
- Nov 4, 2024
- LlamaFactory
- Jul 10, 2026
Categories
- awadb
- Vector Databases, LLM Frameworks, Model Training
- LlamaFactory
- LLM Frameworks, Model Training
Trust and health
Maintenance
- awadb
- Dormant (18%)
- LlamaFactory
- Very active (96%)
Days since push
- awadb
- 614d
- LlamaFactory
- 0d
Open issues (now)
- awadb
- 4
- LlamaFactory
- 1.1k
Security scan
- awadb
- No criticals
- LlamaFactory
- No lockfile
Full report
- awadb
- Trust report
- LlamaFactory
- Trust report
Choose awadb if…
- awadb is primarily C++; LlamaFactory is Python.
- Tags unique to awadb: embedding-vectors, llm, vectordb, chatgpt.
- Also covers Vector Databases.
When NOT to use awadb
- Last GitHub push was 615 days ago (dormant maintenance, Nov 4, 2024). Validate activity before betting a new project on awadb.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
Choose LlamaFactory if…
- LlamaFactory is primarily Python; awadb is C++.
- Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai.
- When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
When NOT to use LlamaFactory
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory.
- If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (awa-ai/awadb) · observed Jul 11, 2026
- GitHub forks (awa-ai/awadb) · observed Jul 11, 2026
- Last push (awa-ai/awadb) · observed Nov 4, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (hiyouga/LlamaFactory) · observed Jul 11, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Jul 11, 2026
- Last push (hiyouga/LlamaFactory) · observed Jul 10, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awadb 175 · LlamaFactory 73k (synced Jul 11, 2026).
Common questions
- What is the difference between awadb and LlamaFactory?
- awadb: AI Native database for embedding vectors. LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. See the comparison table for live GitHub stats and shared categories.
- When should I choose awadb over LlamaFactory?
- Choose awadb over LlamaFactory when awadb is primarily C++; LlamaFactory is Python; Tags unique to awadb: embedding-vectors, llm, vectordb, chatgpt; Also covers Vector Databases.
- When should I choose LlamaFactory over awadb?
- Choose LlamaFactory over awadb when LlamaFactory is primarily Python; awadb is C++; Tags unique to LlamaFactory: gemma, fine-tuning, deepseek, ai; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I avoid awadb?
- Last GitHub push was 615 days ago (dormant maintenance, Nov 4, 2024). Validate activity before betting a new project on awadb. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge.
- When should I avoid LlamaFactory?
- When you are looking to fine-tune less popular or niche models that are not supported within the 100+ models covered by LlamaFactory. If your project specifically requires custom fine-tuning methods not available in this repository, such as certain versions of PEFT (Parameter Efficient Fine-Tuning) techniques excluding LoRA and QLoa
- Is awadb or LlamaFactory more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 175). Stars measure visibility, not whether either tool fits your constraints.
- Are awadb and LlamaFactory open source?
- Yes - both are open-source projects on GitHub (awadb: Apache-2.0, LlamaFactory: Apache-2.0).
- Where can I find alternatives to awadb or LlamaFactory?
- GraphCanon lists graph-backed alternatives at awadb alternatives and LlamaFactory alternatives (awadb markdown twin, LlamaFactory 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, awadb or LlamaFactory?
- awadb: Dormant. LlamaFactory: 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 awadb and LlamaFactory?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awadb trust report; LlamaFactory trust report.