Comparison
LlamaFactory vs OpenPipe
Verdict
Pick LlamaFactory if 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; pick OpenPipe if openPipe is an open-source fine-tuning platform for cheaper model hosting and training, currently in a transition phase.
Markdown twin · LlamaFactory alternatives · OpenPipe alternatives
GraphCanon updated 1d · 29 views this month
vs
Trust & integrity
| Signal | LlamaFactory | OpenPipe |
|---|---|---|
| Maintenance | Very active (2d since push) As of 5d · github_public_v1 | Dormant (817d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 5d · github_public_v1 | Not a fork · Organization account As of 1d · 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
- LlamaFactory
- Unified Efficient Fine-Tuning of 100+ LLMs & VLMs
- OpenPipe
- Open-source fine-tuning and model-hosting platform
Stars
- LlamaFactory
- 74k
- OpenPipe
- 2.8k
Forks
- LlamaFactory
- 9.1k
- OpenPipe
- 178
Open issues
- LlamaFactory
- 1.1k
- OpenPipe
- 8
Language
- LlamaFactory
- Python
- OpenPipe
- TypeScript
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.
- OpenPipe
- OpenPipe is an open-source fine-tuning platform for cheaper model hosting and training, currently in a transition phase.
Persona
- LlamaFactory
- -
- OpenPipe
- -
Runtime
- LlamaFactory
- -
- OpenPipe
- -
License
- LlamaFactory
- Apache-2.0
- OpenPipe
- Apache-2.0
Last pushed
- LlamaFactory
- Aug 13, 2026
- OpenPipe
- May 25, 2024
Categories
- LlamaFactory
- LLM Frameworks, Model Training
- OpenPipe
- LLM Frameworks, Model Training
Trust and health
Maintenance
- LlamaFactory
- Very active (96%)
- OpenPipe
- Dormant (18%)
Days since push
- LlamaFactory
- 2d
- OpenPipe
- 817d
Open issues (now)
- LlamaFactory
- 1.1k
- OpenPipe
- 8
Stars delta
- LlamaFactory
- +803 (30d)
- OpenPipe
- +14 (30d)
Open issues delta
- LlamaFactory
- +39 (30d)
- OpenPipe
- -1 (30d)
Owner type
- LlamaFactory
- User
- OpenPipe
- Organization
Full report
- LlamaFactory
- Trust report
- OpenPipe
- Trust report
Typed relationship
LlamaFactory alternative OpenPipeOpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies.
Shared compatibility
- Python · LlamaFactory: Python runtime · OpenPipe: Python runtime
Choose LlamaFactory if…
- LlamaFactory is primarily Python; OpenPipe is TypeScript.
- OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies.
- Tags unique to LlamaFactory: agent, deepseek, gemma, gpt.
- 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 OpenPipe if…
- OpenPipe is primarily TypeScript; LlamaFactory is Python.
- OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies.
- Tags unique to OpenPipe: llm, model-hosting, openai-compatible, prompt-engineering.
- If you need to integrate with OpenAI's SDK in Python or TypeScript easily
When NOT to use OpenPipe
- Avoid if requiring real-time support or updates as development is currently paused for integration of proprietary code
- Not ideal for users needing immediate access to the latest features due to its transition phase
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 Aug 16, 2026
- GitHub forks (hiyouga/LlamaFactory) · observed Aug 16, 2026
- Last push (hiyouga/LlamaFactory) · observed Aug 13, 2026
- License file (Apache-2.0) · observed Aug 16, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (OpenPipe/OpenPipe) · observed Aug 20, 2026
- GitHub forks (OpenPipe/OpenPipe) · observed Aug 20, 2026
- Last push (OpenPipe/OpenPipe) · observed May 25, 2024
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: LlamaFactory 74k · OpenPipe 2.8k (synced Aug 16, 2026).
Common questions
- What is the difference between LlamaFactory and OpenPipe?
- LlamaFactory: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs. OpenPipe: Open-source fine-tuning and model-hosting platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose LlamaFactory over OpenPipe?
- Choose LlamaFactory over OpenPipe when LlamaFactory is primarily Python; OpenPipe is TypeScript; OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies; Tags unique to LlamaFactory: agent, deepseek, gemma, gpt; When you need to fine-tune over 100 different LLMs or VLMs with efficient methods like LoRA or QLoRA.
- When should I choose OpenPipe over LlamaFactory?
- Choose OpenPipe over LlamaFactory when OpenPipe is primarily TypeScript; LlamaFactory is Python; OpenPipe and LlamaFactory both provide platforms for fine-tuning Large Language Models (LLMs), but OpenPipe additionally supports the creation of smaller, cost-effective models that can be easily integrated into workflows with SDKs, whereas LlamaFactory focuses on simplifying the fine-tuning process for a wide range of LLMs and vision-language models supported by prominent tech companies; Tags unique to OpenPipe: llm, model-hosting, openai-compatible, prompt-engineering; If you need to integrate with OpenAI's SDK in Python or TypeScript easily.
- 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 OpenPipe?
- Avoid if requiring real-time support or updates as development is currently paused for integration of proprietary code Not ideal for users needing immediate access to the latest features due to its transition phase
- Is LlamaFactory or OpenPipe more popular on GitHub?
- LlamaFactory has more GitHub stars (74,132 vs 2,826). Stars measure visibility, not whether either tool fits your constraints.
- Are LlamaFactory and OpenPipe open source?
- Yes - both are open-source projects on GitHub (LlamaFactory: Apache-2.0, OpenPipe: Apache-2.0).
- Where can I find alternatives to LlamaFactory or OpenPipe?
- GraphCanon lists graph-backed alternatives at LlamaFactory alternatives and OpenPipe alternatives (LlamaFactory markdown twin, OpenPipe 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 OpenPipe?
- LlamaFactory: Very active. OpenPipe: 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 OpenPipe?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: LlamaFactory trust report; OpenPipe trust report.