--- title: "alpaca-lora vs manifold" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/tloen-alpaca-lora-vs-uber-manifold" tools: ["tloen-alpaca-lora", "uber-manifold"] --- # alpaca-lora vs manifold *GraphCanon updated Jul 11, 2026* ## Verdict Pick alpaca-lora when alpaca-lora is primarily Jupyter Notebook; manifold is JavaScript; pick manifold when manifold is primarily JavaScript; alpaca-lora is Jupyter Notebook. [alpaca-lora](https://github.com/tloen/alpaca-lora) reports 19k GitHub stars, 2.2k forks, and 366 open issues, last pushed Jul 29, 2024. [manifold](https://github.com/uber/manifold) has 1.7k stars, 115 forks, and 83 open issues, last pushed Feb 5, 2025. Figures are from public GitHub metadata via [alpaca-lora's repository](https://github.com/tloen/alpaca-lora) and [manifold's repository](https://github.com/uber/manifold). | | [alpaca-lora](/tools/tloen-alpaca-lora.md) | [manifold](/tools/uber-manifold.md) | | --- | --- | --- | | Tagline | Instruct-tune LLaMA on consumer hardware | A model-agnostic visual debugging tool for machine learning | | Stars | 18,913 | 1,671 | | Forks | 2,185 | 115 | | Open issues | 366 | 83 | | Language | Jupyter Notebook | JavaScript | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | Computer Vision, Inference & Serving, Model Training | Computer Vision | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [alpaca-lora](/tools/tloen-alpaca-lora.md) | [manifold](/tools/uber-manifold.md) | | --- | --- | --- | | Days since push | 712d | 521d | | Open issues (now) | 366 | 83 | | Owner type | User | Organization | | Security scan | 1 critical, 5 high, 12 medium, 28 low (1 critical, 5 high, 12 medium, 28 low) | No lockfile | | Full report | [trust report](/tools/tloen-alpaca-lora/trust.md) | [trust report](/tools/uber-manifold/trust.md) | ## Choose when ### Choose alpaca-lora if… - alpaca-lora is primarily Jupyter Notebook; manifold is JavaScript. - Tags unique to alpaca-lora: jupyter notebook. - Also covers Inference & Serving, Model Training. - alpaca-lora ships Docker support for self-hosted deployment. ### Choose manifold if… - manifold is primarily JavaScript; alpaca-lora is Jupyter Notebook. - Tags unique to manifold: incubation, javascript, machine-learning, visualization. - More recently updated (last pushed Feb 5, 2025). ## When NOT to use alpaca-lora - Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ## When NOT to use manifold - Last GitHub push was 521 days ago (dormant maintenance, Feb 5, 2025). Validate activity before betting a new project on manifold. ## Common questions ### What is the difference between alpaca-lora and manifold? alpaca-lora: Instruct-tune LLaMA on consumer hardware. manifold: A model-agnostic visual debugging tool for machine learning. See the comparison table for live GitHub stats and shared categories. ### When should I choose alpaca-lora over manifold? Choose alpaca-lora over manifold when alpaca-lora is primarily Jupyter Notebook; manifold is JavaScript; Tags unique to alpaca-lora: jupyter notebook; Also covers Inference & Serving, Model Training; alpaca-lora ships Docker support for self-hosted deployment. ### When should I choose manifold over alpaca-lora? Choose manifold over alpaca-lora when manifold is primarily JavaScript; alpaca-lora is Jupyter Notebook; Tags unique to manifold: incubation, javascript, machine-learning, visualization; More recently updated (last pushed Feb 5, 2025). ### When should I avoid alpaca-lora? Last GitHub push was 712 days ago (dormant maintenance, Jul 29, 2024). Validate activity before betting a new project on alpaca-lora. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. ### When should I avoid manifold? Last GitHub push was 521 days ago (dormant maintenance, Feb 5, 2025). Validate activity before betting a new project on manifold. ### Is alpaca-lora or manifold more popular on GitHub? alpaca-lora has more GitHub stars (18,913 vs 1,671). Stars measure visibility, not whether either tool fits your constraints. ### Are alpaca-lora and manifold open source? Yes - both are open-source projects on GitHub (alpaca-lora: Apache-2.0, manifold: Apache-2.0). ### Where can I find alternatives to alpaca-lora or manifold? GraphCanon lists graph-backed alternatives at [alpaca-lora alternatives](/tools/tloen-alpaca-lora/alternatives) and [manifold alternatives](/tools/uber-manifold/alternatives) ([alpaca-lora markdown twin](/tools/tloen-alpaca-lora/alternatives.md), [manifold markdown twin](/tools/uber-manifold/alternatives.md)), 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](/compare/tloen-alpaca-lora-vs-uber-manifold.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, alpaca-lora or manifold? alpaca-lora: Dormant. manifold: 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 alpaca-lora and manifold? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [alpaca-lora trust report](/tools/tloen-alpaca-lora/trust); [manifold trust report](/tools/uber-manifold/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=tloen-alpaca-lora`](/api/graphcanon/graph?tool=tloen-alpaca-lora) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_