Comparison
stock-rnn vs automl-gs
Verdict
Pick stock-rnn if predicts stock market prices using LSTM-based RNNs with optional multi-stock embeddings; pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data.
Markdown twin · stock-rnn alternatives · automl-gs alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | stock-rnn | automl-gs |
|---|---|---|
| Maintenance | Dormant (1485d since push) As of 3d · github_public_v1 | Dormant (2477d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 3d · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | Published findings 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
- stock-rnn
- Predict stock market prices using RNN model with multilayer LSTM cells.
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
Stars
- stock-rnn
- 2.0k
- automl-gs
- 1.9k
Forks
- stock-rnn
- 673
- automl-gs
- 181
Open issues
- stock-rnn
- 24
- automl-gs
- 28
Language
- stock-rnn
- Python
- automl-gs
- Python
Adopt for
- stock-rnn
- Predicts stock market prices using LSTM-based RNNs with optional multi-stock embeddings.
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
Persona
- stock-rnn
- -
- automl-gs
- -
Runtime
- stock-rnn
- -
- automl-gs
- -
License
- stock-rnn
- -
- automl-gs
- MIT
Last pushed
- stock-rnn
- Jul 28, 2022
- automl-gs
- Oct 22, 2019
Categories
- stock-rnn
- Model Training
- automl-gs
- Data & Retrieval, Model Training
Trust and health
Days since push
- stock-rnn
- 1485d
- automl-gs
- 2477d
Open issues (now)
- stock-rnn
- 24
- automl-gs
- 28
Stars delta
- stock-rnn
- +14 (30d)
- automl-gs
- Unknown
Open issues delta
- stock-rnn
- 0 (30d)
- automl-gs
- Unknown
OSV dependency advisories
- stock-rnn
- No lockfile (source not queried)
- automl-gs
- Published findings
Full report
- stock-rnn
- Trust report
- automl-gs
- Trust report
Choose stock-rnn if…
- Tags unique to stock-rnn: embeddings, lstm, rnn-tensorflow, stock-price-prediction.
- Forecasting stock prices requires an approach that benefits from long-term memory in sequential data
- More GitHub stars (2.0k vs 1.9k) - visibility, not fit.
When NOT to use stock-rnn
- Short-term price predictions dominate the forecasting focus
- Single-stock analysis suffices without incorporating multi-stock embeddings
Choose automl-gs if…
- Tags unique to automl-gs: automl, keras, machine-learning, python.
- Also covers Data & Retrieval.
- Need to rapidly prototype models with limited ML expertise
When NOT to use automl-gs
- Complex feature engineering or non-standard data inputs required
- Sensitive about licensing of the generated code
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 Aug 22, 2026
- GitHub forks (lilianweng/stock-rnn) · observed Aug 22, 2026
- Last push (lilianweng/stock-rnn) · observed Jul 28, 2022
- License file (unknown) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (minimaxir/automl-gs) · observed Aug 4, 2026
- GitHub forks (minimaxir/automl-gs) · observed Aug 4, 2026
- Last push (minimaxir/automl-gs) · observed Oct 22, 2019
- License file (MIT) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: stock-rnn 2.0k · automl-gs 1.9k (synced Aug 22, 2026).
Common questions
- What is the difference between stock-rnn and automl-gs?
- stock-rnn: Predict stock market prices using RNN model with multilayer LSTM cells.. automl-gs: Automatically generate machine-learning models and code with input CSV and target field. See the comparison table for live GitHub stats and shared categories.
- When should I choose stock-rnn over automl-gs?
- Choose stock-rnn over automl-gs when Tags unique to stock-rnn: embeddings, lstm, rnn-tensorflow, stock-price-prediction; Forecasting stock prices requires an approach that benefits from long-term memory in sequential data; More GitHub stars (2.0k vs 1.9k) - visibility, not fit.
- When should I choose automl-gs over stock-rnn?
- Choose automl-gs over stock-rnn when Tags unique to automl-gs: automl, keras, machine-learning, python; Also covers Data & Retrieval; Need to rapidly prototype models with limited ML expertise.
- When should I avoid stock-rnn?
- Short-term price predictions dominate the forecasting focus Single-stock analysis suffices without incorporating multi-stock embeddings
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- Is stock-rnn or automl-gs more popular on GitHub?
- stock-rnn has more GitHub stars (1,990 vs 1,869). Stars measure visibility, not whether either tool fits your constraints.
- Are stock-rnn and automl-gs open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to stock-rnn or automl-gs?
- GraphCanon lists graph-backed alternatives at stock-rnn alternatives and automl-gs alternatives (stock-rnn markdown twin, automl-gs 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 automl-gs?
- stock-rnn: Dormant. automl-gs: 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 automl-gs?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: stock-rnn trust report; automl-gs trust report.