IBM / AutoMLPipeline.jl
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- Symbolic pipeline API for easy expression and high-level description of complex pipeline structures and processing workflow
- Common API wrappers for ML libs including Scikitlearn, DecisionTree, etc
- Easily extensible architecture by overloading just two main interfaces: fit! and transform!
- Meta-ensembles that allow composition of ensembles of ensembles (recursively if needed) for robust prediction routines
- Categorical and numerical feature selectors for specialized preprocessing routines based on types
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 372
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.4.7
- Released 13 months ago
- Built with
- Julia
- 58% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 72% closed
- 22 still open
- Pull requests
- 71 merged
- 0 waiting
- Releases
- 37
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Julia 58%
- JavaScript 17%
- Rust 17%
- Python 2%
Topics
- pipeline
- pipeline-structure
- machine-learning
- automl
- symbolic-expressions
- data-mining
- julia
- scikitlearn-wrapper
- symbolic-pipeline
- pipeline-optimization
- ensemble-learning
- chaining
Project record
- JobOther AI tools
- StatusListed
- Commits765
- Forks29
- Watching12
- Stars in 28 days+1
- CreatedFeb 25, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026