--- title: "dsnote vs stanford_alpaca" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mkiol-dsnote-vs-tatsu-lab-stanford-alpaca" tools: ["mkiol-dsnote", "tatsu-lab-stanford-alpaca"] --- # dsnote vs stanford_alpaca *GraphCanon updated Jul 11, 2026* ## Verdict Pick dsnote when dsnote is primarily C++; stanford_alpaca is Python; pick stanford_alpaca when stanford_alpaca is primarily Python; dsnote is C++. [dsnote](https://github.com/mkiol/dsnote) reports 1.5k GitHub stars, 67 forks, and 138 open issues, last pushed Jun 28, 2026. [stanford_alpaca](https://crfm.stanford.edu/2023/03/13/alpaca.html) has 30k stars, 4.0k forks, and 188 open issues, last pushed Jul 17, 2024. Figures are from public GitHub metadata via [dsnote's repository](https://github.com/mkiol/dsnote) and [stanford_alpaca's repository](https://github.com/tatsu-lab/stanford_alpaca). | | [dsnote](/tools/mkiol-dsnote.md) | [stanford_alpaca](/tools/tatsu-lab-stanford-alpaca.md) | | --- | --- | --- | | Tagline | Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation. | Code and documentation to train Stanford's Alpaca models, and generate the data. | | Stars | 1,536 | 30,250 | | Forks | 67 | 3,985 | | Open issues | 138 | 188 | | Language | C++ | Python | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | MPL-2.0 | Apache-2.0 | | Categories | Model Training, Vector Databases, Speech & Audio | Vector Databases, LLM Frameworks, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [dsnote](/tools/mkiol-dsnote.md) | [stanford_alpaca](/tools/tatsu-lab-stanford-alpaca.md) | | --- | --- | --- | | Maintenance | Active (82%) | Dormant (18%) | | Days since push | 12d | 724d | | Open issues (now) | 138 | 188 | | Owner type | User | Organization | | Security scan | No lockfile | 46 low (46 low) | | Full report | [trust report](/tools/mkiol-dsnote/trust.md) | [trust report](/tools/tatsu-lab-stanford-alpaca/trust.md) | ## Choose when ### Choose dsnote if… - dsnote is primarily C++; stanford_alpaca is Python. - License: dsnote is MPL-2.0, stanford_alpaca is Apache-2.0. - Tags unique to dsnote: sailfishos, nmt, flatpak-applications, asr. - Also covers Speech & Audio. ### Choose stanford_alpaca if… - stanford_alpaca is primarily Python; dsnote is C++. - License: stanford_alpaca is Apache-2.0, dsnote is MPL-2.0. - Tags unique to stanford_alpaca: deep-learning, python, language-model, instruction-following. - Also covers LLM Frameworks. ## When NOT to use dsnote - Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## When NOT to use stanford_alpaca - Last GitHub push was 724 days ago (dormant maintenance, Jul 17, 2024). Validate activity before betting a new project on stanford_alpaca. - 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. ## Common questions ### What is the difference between dsnote and stanford_alpaca? dsnote: Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.. stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.. See the comparison table for live GitHub stats and shared categories. ### When should I choose dsnote over stanford_alpaca? Choose dsnote over stanford_alpaca when dsnote is primarily C++; stanford_alpaca is Python; License: dsnote is MPL-2.0, stanford_alpaca is Apache-2.0; Tags unique to dsnote: sailfishos, nmt, flatpak-applications, asr; Also covers Speech & Audio. ### When should I choose stanford_alpaca over dsnote? Choose stanford_alpaca over dsnote when stanford_alpaca is primarily Python; dsnote is C++; License: stanford_alpaca is Apache-2.0, dsnote is MPL-2.0; Tags unique to stanford_alpaca: deep-learning, python, language-model, instruction-following; Also covers LLM Frameworks. ### When should I avoid dsnote? Model Training: Try prompting and RAG first; fine-tuning is the answer to style/format, not missing knowledge. 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 stanford_alpaca? Last GitHub push was 724 days ago (dormant maintenance, Jul 17, 2024). Validate activity before betting a new project on stanford_alpaca. 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. ### Is dsnote or stanford_alpaca more popular on GitHub? stanford_alpaca has more GitHub stars (30,250 vs 1,536). Stars measure visibility, not whether either tool fits your constraints. ### Are dsnote and stanford_alpaca open source? Yes - both are open-source projects on GitHub (dsnote: MPL-2.0, stanford_alpaca: Apache-2.0). ### Where can I find alternatives to dsnote or stanford_alpaca? GraphCanon lists graph-backed alternatives at [dsnote alternatives](/tools/mkiol-dsnote/alternatives) and [stanford_alpaca alternatives](/tools/tatsu-lab-stanford-alpaca/alternatives) ([dsnote markdown twin](/tools/mkiol-dsnote/alternatives.md), [stanford_alpaca markdown twin](/tools/tatsu-lab-stanford-alpaca/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/mkiol-dsnote-vs-tatsu-lab-stanford-alpaca.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, dsnote or stanford_alpaca? dsnote: Active. stanford_alpaca: 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 dsnote and stanford_alpaca? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [dsnote trust report](/tools/mkiol-dsnote/trust); [stanford_alpaca trust report](/tools/tatsu-lab-stanford-alpaca/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mkiol-dsnote`](/api/graphcanon/graph?tool=mkiol-dsnote) - 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/_