Comparison
automl-gs vs machine-learning-for-trading
Verdict
Pick automl-gs if automl-gs: Python tool for automated machine-learning model creation from CSV data; pick machine-learning-for-trading if machine-learning-for-trading is a comprehensive repository for implementing machine learning techniques in trading, covering data sourcing, backtesting, and live execution strategies, all documented in Jupyter Notebooks.
Markdown twin · automl-gs alternatives · machine-learning-for-trading alternatives
GraphCanon updated Sep 30, 2026
8views this month
vs
Trust & integrity
| Signal | automl-gs | machine-learning-for-trading |
|---|---|---|
| Maintenance | Dormant (2534d since push) As of Sep 30, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 30, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 2026 · 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
- automl-gs
- Automatically generate machine-learning models and code with input CSV and target field
- machine-learning-for-trading
- Code for Machine Learning for Trading, 3rd edition, from data sourcing to live execution.
Stars
- automl-gs
- 1.9k
- machine-learning-for-trading
- 21k
Forks
- automl-gs
- 178
- machine-learning-for-trading
- 5.6k
Open issues
- automl-gs
- 28
- machine-learning-for-trading
- 3
Language
- automl-gs
- Python
- machine-learning-for-trading
- Jupyter Notebook
Adopt for
- automl-gs
- automl-gs: Python tool for automated machine-learning model creation from CSV data
- machine-learning-for-trading
- machine-learning-for-trading is a comprehensive repository for implementing machine learning techniques in trading, covering data sourcing, backtesting, and live execution strategies, all documented in Jupyter Notebooks.
Persona
- automl-gs
- -
- machine-learning-for-trading
- -
Runtime
- automl-gs
- -
- machine-learning-for-trading
- -
License
- automl-gs
- MIT
- machine-learning-for-trading
- MIT
Last pushed
- automl-gs
- Oct 22, 2019
- machine-learning-for-trading
- Sep 17, 2026
Categories
- automl-gs
- Data & Retrieval, Model Training
- machine-learning-for-trading
- AI Agents, Data & Retrieval, Model Training
Trust and health
Maintenance
- automl-gs
- Dormant (18%)
- machine-learning-for-trading
- Very active (96%)
Days since push
- automl-gs
- 2534d
- machine-learning-for-trading
- 0d
Open issues (now)
- automl-gs
- 28
- machine-learning-for-trading
- 3
Stars delta
- automl-gs
- -2 (30d)
- machine-learning-for-trading
- +445 (30d)
Open issues delta
- automl-gs
- 0 (30d)
- machine-learning-for-trading
- -2 (30d)
OSV dependency advisories
- automl-gs
- Published findings
- machine-learning-for-trading
- No lockfile (source not queried)
Full report
- automl-gs
- Trust report
- machine-learning-for-trading
- Trust report
Choose automl-gs if…
- automl-gs is primarily Python; machine-learning-for-trading is Jupyter Notebook.
- Tags unique to automl-gs: automl, keras, machine-learning, python.
- 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
Choose machine-learning-for-trading if…
- machine-learning-for-trading is primarily Jupyter Notebook; automl-gs is Python.
- Requirements: Min 8 GB RAM; Requires Docker; Requires a C/C++ compiler and Python headers for local setup on macOS, Linux, or WSL2.; Docker setup is recommended for macOS with Intel and Windows (via WSL2)..
- Tags unique to machine-learning-for-trading: algorithmic-trading, artificial-intelligence, backtesting, data-science.
- Also covers AI Agents.
- machine-learning-for-trading ships Docker support for self-hosted deployment.
- Use when you need a complete workflow from data sourcing to live trading execution, as the repository covers all stages of the trading process.
When NOT to use machine-learning-for-trading
- Avoid if you are working on Windows without WSL2, as the repository does not support installation into Windows Python.
- Not recommended for users who do not have access to a C/C++ compiler and Python headers, as the local setup requires these for compiling dependencies.
- Not ideal for those who prefer a lightweight setup, as the local environment requires about 16 GB of disk space.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (minimaxir/automl-gs) · observed Sep 30, 2026
- GitHub forks (minimaxir/automl-gs) · observed Sep 30, 2026
- Last push (minimaxir/automl-gs) · observed Oct 22, 2019
- License file (MIT) · observed Sep 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (stefan-jansen/machine-learning-for-trading) · observed Sep 20, 2026
- GitHub forks (stefan-jansen/machine-learning-for-trading) · observed Sep 20, 2026
- Last push (stefan-jansen/machine-learning-for-trading) · observed Sep 17, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: automl-gs 1.9k · machine-learning-for-trading 21k (synced Sep 30, 2026).
Common questions
- What is the difference between automl-gs and machine-learning-for-trading?
- automl-gs: Automatically generate machine-learning models and code with input CSV and target field. machine-learning-for-trading: Code for Machine Learning for Trading, 3rd edition, from data sourcing to live execution.. See the comparison table for live GitHub stats and shared categories.
- When should I choose automl-gs over machine-learning-for-trading?
- Choose automl-gs over machine-learning-for-trading when automl-gs is primarily Python; machine-learning-for-trading is Jupyter Notebook; Tags unique to automl-gs: automl, keras, machine-learning, python; Need to rapidly prototype models with limited ML expertise.
- When should I choose machine-learning-for-trading over automl-gs?
- Choose machine-learning-for-trading over automl-gs when machine-learning-for-trading is primarily Jupyter Notebook; automl-gs is Python; Requirements: Min 8 GB RAM; Requires Docker; Requires a C/C++ compiler and Python headers for local setup on macOS, Linux, or WSL2.; Docker setup is recommended for macOS with Intel and Windows (via WSL2).; Tags unique to machine-learning-for-trading: algorithmic-trading, artificial-intelligence, backtesting, data-science; Also covers AI Agents; machine-learning-for-trading ships Docker support for self-hosted deployment; Use when you need a complete workflow from data sourcing to live trading execution, as the repository covers all stages of the trading process.
- When should I avoid automl-gs?
- Complex feature engineering or non-standard data inputs required Sensitive about licensing of the generated code
- When should I avoid machine-learning-for-trading?
- Avoid if you are working on Windows without WSL2, as the repository does not support installation into Windows Python. Not recommended for users who do not have access to a C/C++ compiler and Python headers, as the local setup requires these for compiling dependencies. Not ideal for those who prefer a lightweight setup, as the local environment requires about 16 GB of disk space.
- Is automl-gs or machine-learning-for-trading more popular on GitHub?
- machine-learning-for-trading has more GitHub stars (20,925 vs 1,867). Stars measure visibility, not whether either tool fits your constraints.
- Are automl-gs and machine-learning-for-trading open source?
- Yes - both are open-source projects on GitHub (automl-gs: MIT, machine-learning-for-trading: MIT).
- Where can I find alternatives to automl-gs or machine-learning-for-trading?
- GraphCanon lists graph-backed alternatives at automl-gs alternatives and machine-learning-for-trading alternatives (automl-gs markdown twin, machine-learning-for-trading 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, automl-gs or machine-learning-for-trading?
- automl-gs: Dormant. machine-learning-for-trading: Very active. 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 automl-gs and machine-learning-for-trading?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: automl-gs trust report; machine-learning-for-trading trust report.