Comparison
stock-rnn vs stanford_alpaca
Verdict
Pick stock-rnn when tags unique to stock-rnn: embeddings, lstm, stock-price-prediction, rnn-tensorflow; pick stanford_alpaca when tags unique to stanford_alpaca: deep-learning, language-model, instruction-following.
Markdown twin · stock-rnn alternatives · stanford_alpaca alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | stock-rnn | stanford_alpaca |
|---|---|---|
| Maintenance | Dormant (1444d since push) As of today · github_public_v1 | Dormant (724d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | 46 low (46 low) As of today · osv@v1 |
Tagline
- stock-rnn
- Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
- stanford_alpaca
- Code and documentation to train Stanford's Alpaca models, and generate the data.
Stars
- stock-rnn
- 2.0k
- stanford_alpaca
- 30k
Forks
- stock-rnn
- 673
- stanford_alpaca
- 4.0k
Open issues
- stock-rnn
- 24
- stanford_alpaca
- 188
Language
- stock-rnn
- Python
- stanford_alpaca
- Python
Adopt for
- stock-rnn
- -
- stanford_alpaca
- -
Persona
- stock-rnn
- -
- stanford_alpaca
- -
Runtime
- stock-rnn
- -
- stanford_alpaca
- -
License
- stock-rnn
- -
- stanford_alpaca
- Apache-2.0
Last pushed
- stock-rnn
- Jul 28, 2022
- stanford_alpaca
- Jul 17, 2024
Categories
- stock-rnn
- Model Training, Vector Databases
- stanford_alpaca
- LLM Frameworks, Model Training, Vector Databases
Trust and health
Days since push
- stock-rnn
- 1444d
- stanford_alpaca
- 724d
Open issues (now)
- stock-rnn
- 24
- stanford_alpaca
- 188
Owner type
- stock-rnn
- User
- stanford_alpaca
- Organization
Security scan
- stock-rnn
- No lockfile
- stanford_alpaca
- 46 low (46 low)
Full report
- stock-rnn
- Trust report
- stanford_alpaca
- Trust report
Choose stock-rnn if…
- Tags unique to stock-rnn: embeddings, lstm, stock-price-prediction, rnn-tensorflow.
- Leaner open-issue backlog (24).
When NOT to use stock-rnn
- Last GitHub push was 1445 days ago (dormant maintenance, Jul 28, 2022). Validate activity before betting a new project on stock-rnn.
- 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.
Choose stanford_alpaca if…
- Tags unique to stanford_alpaca: deep-learning, language-model, instruction-following.
- Also covers LLM Frameworks.
- More GitHub stars (30k vs 2.0k) - visibility, not fit.
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.
- 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.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (lilianweng/stock-rnn) · observed Jul 11, 2026
- GitHub forks (lilianweng/stock-rnn) · observed Jul 11, 2026
- Last push (lilianweng/stock-rnn) · observed Jul 28, 2022
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tatsu-lab/stanford_alpaca) · observed Jul 11, 2026
- GitHub forks (tatsu-lab/stanford_alpaca) · observed Jul 11, 2026
- Last push (tatsu-lab/stanford_alpaca) · observed Jul 17, 2024
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: stock-rnn 2.0k · stanford_alpaca 30k (synced Jul 11, 2026).
Common questions
- What is the difference between stock-rnn and stanford_alpaca?
- stock-rnn: Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.. 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 stock-rnn over stanford_alpaca?
- Choose stock-rnn over stanford_alpaca when Tags unique to stock-rnn: embeddings, lstm, stock-price-prediction, rnn-tensorflow; Leaner open-issue backlog (24).
- When should I choose stanford_alpaca over stock-rnn?
- Choose stanford_alpaca over stock-rnn when Tags unique to stanford_alpaca: deep-learning, language-model, instruction-following; Also covers LLM Frameworks; More GitHub stars (30k vs 2.0k) - visibility, not fit.
- When should I avoid stock-rnn?
- Last GitHub push was 1445 days ago (dormant maintenance, Jul 28, 2022). Validate activity before betting a new project on stock-rnn. 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. 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
- Is stock-rnn or stanford_alpaca more popular on GitHub?
- stanford_alpaca has more GitHub stars (30,250 vs 1,976). Stars measure visibility, not whether either tool fits your constraints.
- Are stock-rnn and stanford_alpaca open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to stock-rnn or stanford_alpaca?
- GraphCanon lists graph-backed alternatives at stock-rnn alternatives and stanford_alpaca alternatives (stock-rnn markdown twin, stanford_alpaca 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, stock-rnn or stanford_alpaca?
- stock-rnn: Dormant. 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 stock-rnn and stanford_alpaca?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stock-rnn trust report; stanford_alpaca trust report.