EvalML builds, optimizes, and evaluates machine learning pipelines with automated data checks and objective functions.
Open source
24 alternativesProdmodel
Prodmodel supports building, testing, deploying, and iterating on data science pipelines.
About Prodmodel
Prodmodel is a build system for data science pipelines where data, Python code and configuration are inputs to transformation rules. Rules form a dependency graph, and their outputs are cached, version-controlled targets such as models or datasets; only rules affected by a change are re-executed.
Use requires Python 3.6 or later, code structured as functions that rules can call, and a build.py file defining inputs and rules. Remote data sources such as SQL servers are not always tracked automatically and may need manual reload.
Key features
- Tracks data, Python code and config dependencies as rule DAG
- Reuses cached outputs when code path and data unchanged
- Packages model files with encoders and transformation code
- Provides IterableDataTarget for iterating datasets as dicts
- Lists build file targets with prodmodel ls command
- Deletes old target cache files by cutoff date
Best for: Python data science users who build models through function-based pipelines with shared code and data.
Good for
- Re-executes only rules affected by a change instead of the whole pipeline
- Tracks code and data dependencies with cached, version-controlled outputs
- Packages model files together with encoders and transformation code for deployment
Watch out for
- Requires code to be structured as functions that rules can call
- Requires at least Python 3.6
- Cannot always track changes in remote sources such as SQL servers
Prodmodel at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Prodmodel FAQ
How do I install Prodmodel?
It requires at least Python 3.6 and is installed with pip install prodmodel --user.
How do I build a model?
Create a build.py file defining inputs and rules, then run prodmodel my_model from its directory.
How are remote data sources handled?
Change tracking is not always feasible for remote sources, so use --force_external for manual control over reloading.
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