Comparison
autoai vs stock-rnn
Verdict
Pick autoai if python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation; pick stock-rnn if predicts stock market prices using LSTM-based RNNs with optional multi-stock embeddings.
Markdown twin · autoai alternatives · stock-rnn alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | autoai | stock-rnn |
|---|---|---|
| Maintenance | Dormant (496d since push) As of 3w · github_public_v1 | Dormant (1485d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 3d · github_public_v1 |
| OSV dependency advisories | Published findings 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
- autoai
- Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation
- stock-rnn
- Predict stock market prices using RNN model with multilayer LSTM cells.
Stars
- autoai
- 186
- stock-rnn
- 2.0k
Forks
- autoai
- 46
- stock-rnn
- 673
Open issues
- autoai
- 9
- stock-rnn
- 24
Language
- autoai
- Python
- stock-rnn
- Python
Adopt for
- autoai
- Python based framework for automated machine learning focused on numerical data, providing model search, hyper-parameter tuning, and Jupyter Notebook code generation.
- stock-rnn
- Predicts stock market prices using LSTM-based RNNs with optional multi-stock embeddings.
Persona
- autoai
- -
- stock-rnn
- -
Runtime
- autoai
- -
- stock-rnn
- -
License
- autoai
- Apache-2.0
- stock-rnn
- -
Last pushed
- autoai
- Mar 25, 2025
- stock-rnn
- Jul 28, 2022
Categories
- autoai
- Model Training
- stock-rnn
- Model Training
Trust and health
Days since push
- autoai
- 496d
- stock-rnn
- 1485d
Open issues (now)
- autoai
- 9
- stock-rnn
- 24
Stars delta
- autoai
- Unknown
- stock-rnn
- +14 (30d)
Open issues delta
- autoai
- Unknown
- stock-rnn
- 0 (30d)
Owner type
- autoai
- Organization
- stock-rnn
- User
OSV dependency advisories
- autoai
- Published findings
- stock-rnn
- No lockfile (source not queried)
Full report
- autoai
- Trust report
- stock-rnn
- Trust report
Shared compatibility
- Python · autoai: Python runtime · stock-rnn: Python runtime
Choose autoai if…
- Tags unique to autoai: ai, autoai, automl, codegen.
- Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets.
- More recently updated (last pushed Mar 25, 2025).
When NOT to use autoai
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing.
- Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
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 186) - 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (blobcity/autoai) · observed Aug 4, 2026
- GitHub forks (blobcity/autoai) · observed Aug 4, 2026
- Last push (blobcity/autoai) · observed Mar 25, 2025
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: autoai 186 · stock-rnn 2.0k (synced Aug 4, 2026).
Common questions
- What is the difference between autoai and stock-rnn?
- autoai: Python based framework for Automatic AI enabling model search, hyper-parameter tuning and Jupyter Notebook code generation. stock-rnn: Predict stock market prices using RNN model with multilayer LSTM cells.. See the comparison table for live GitHub stats and shared categories.
- When should I choose autoai over stock-rnn?
- Choose autoai over stock-rnn when Tags unique to autoai: ai, autoai, automl, codegen; Use AutoAI when you need a tool that can handle both regression and classification tasks specifically over numerical datasets; More recently updated (last pushed Mar 25, 2025).
- When should I choose stock-rnn over autoai?
- Choose stock-rnn over autoai 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 186) - visibility, not fit.
- When should I avoid autoai?
- Avoid using AutoAI if your dataset includes non-numerical data exclusively as the framework is tailored for numerical data processing. Do not use if generating model training scripts in formats other than Jupyter Notebooks is required, as this tool only supports Python code output within a Jupyter format.
- When should I avoid stock-rnn?
- Short-term price predictions dominate the forecasting focus Single-stock analysis suffices without incorporating multi-stock embeddings
- Is autoai or stock-rnn more popular on GitHub?
- stock-rnn has more GitHub stars (1,990 vs 186). Stars measure visibility, not whether either tool fits your constraints.
- Are autoai and stock-rnn open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to autoai or stock-rnn?
- GraphCanon lists graph-backed alternatives at autoai alternatives and stock-rnn alternatives (autoai markdown twin, stock-rnn 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, autoai or stock-rnn?
- autoai: Dormant. stock-rnn: 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 autoai and stock-rnn?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: autoai trust report; stock-rnn trust report.