Comparison
LlamaFactory vs DS-1000
Verdict
Pick LlamaFactory when license: LlamaFactory is Apache-2.0, DS-1000 is CC-BY-SA-4.0; pick DS-1000 when license: DS-1000 is CC-BY-SA-4.0, LlamaFactory is Apache-2.0.
Markdown twin · LlamaFactory alternatives · DS-1000 alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | LlamaFactory | DS-1000 |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Dormant (619d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1d · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of 1d · none | No lockfile As of today · none |
Tagline
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- DS-1000
- [ICML 2023] Data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".
Stars
- LlamaFactory
- 73k
- DS-1000
- 273
Forks
- LlamaFactory
- 8.9k
- DS-1000
- 31
Open issues
- LlamaFactory
- 1.1k
- DS-1000
- 2
Language
- LlamaFactory
- Python
- DS-1000
- Python
Adopt for
- 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.
- DS-1000
- -
Persona
- LlamaFactory
- -
- DS-1000
- -
Runtime
- LlamaFactory
- -
- DS-1000
- -
License
- LlamaFactory
- Apache-2.0
- DS-1000
- CC-BY-SA-4.0
Last pushed
- LlamaFactory
- Jul 10, 2026
- DS-1000
- Oct 30, 2024
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- DS-1000
- Evaluation & Observability, LLM Frameworks, Model Training
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- DS-1000
- Dormant (18%)
Days since push
- LlamaFactory
- 0d
- DS-1000
- 619d
Open issues (now)
- LlamaFactory
- 1.1k
- DS-1000
- 2
Owner type
- LlamaFactory
- User
- DS-1000
- Organization
Full report
- LlamaFactory
- Trust report
- DS-1000
- Trust report
Choose LlamaFactory if…
- License: LlamaFactory is Apache-2.0, DS-1000 is CC-BY-SA-4.0.
- Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning.
- 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
Choose DS-1000 if…
- License: DS-1000 is CC-BY-SA-4.0, LlamaFactory is Apache-2.0.
- Tags unique to DS-1000: benchmark, code-generation, data-science, python.
- Also covers Evaluation & Observability.
When NOT to use DS-1000
- Last GitHub push was 619 days ago (dormant maintenance, Oct 30, 2024). Validate activity before betting a new project on DS-1000.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (xlang-ai/DS-1000) · observed Jul 11, 2026
- GitHub forks (xlang-ai/DS-1000) · observed Jul 11, 2026
- Last push (xlang-ai/DS-1000) · observed Oct 30, 2024
- License file (CC-BY-SA-4.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 73k · DS-1000 273 (synced Jul 11, 2026).
Common questions
- What is the difference between LlamaFactory and DS-1000?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. DS-1000: [ICML 2023] Data and code release for the paper "DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation".. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over DS-1000?
- Choose LlamaFactory over DS-1000 when License: LlamaFactory is Apache-2.0, DS-1000 is CC-BY-SA-4.0; Tags unique to LlamaFactory: agent, ai, deepseek, fine-tuning; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I choose DS-1000 over LlamaFactory?
- Choose DS-1000 over LlamaFactory when License: DS-1000 is CC-BY-SA-4.0, LlamaFactory is Apache-2.0; Tags unique to DS-1000: benchmark, code-generation, data-science, python; Also covers Evaluation & Observability.
- 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
- When should I avoid DS-1000?
- Last GitHub push was 619 days ago (dormant maintenance, Oct 30, 2024). Validate activity before betting a new project on DS-1000. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. 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.
- Is LlamaFactory or DS-1000 more popular on GitHub?
- LlamaFactory has more GitHub stars (73,157 vs 273). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and DS-1000 open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, DS-1000: CC-BY-SA-4.0).
- Where can I find alternatives to LlamaFactory or DS-1000?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and DS-1000 alternatives (LlamaFactory markdown twin, DS-1000 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, LlamaFactory or DS-1000?
- LlamaFactory: Very active. DS-1000: 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 LlamaFactory and DS-1000?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; DS-1000 trust report.