VibeML
Machine learning for vibe coders.
Build predictions into your app without becoming an ML engineer. Ask your coding agent what you want to predict — VibeML manages the ML.
⚠️ Early placeholder release. VibeML is under active development. This version reserves the package name and sketches the CLI; the real functionality is landing milestone by milestone at github.com/vibeml-dev/vibeml.
What VibeML will do
- "Which customers will cancel?" — learn from your historical outcomes
- "What will this house sell for?" — predict numbers from your data
- "Can I replace this GPT categorizer with something cheaper?" — distill repetitive LLM calls into small, fast, specialized models
Your coding agent (Claude Code, Codex) writes the code and integrates the predictions. VibeML manages the process on top: durable state for every learned Feature, a protected held-out test set so quality numbers stay honest, version history with regression review, and a local UI that explains everything in plain language.
Try it
uvx vibeml
Follow along at vibeml.dev.
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for vibeml 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| vibeml-0.1.0.tar.gz | 240.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vibeml-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 484.3 kB
Release files / vibeml-0.1.0.tar.gz
| Download URL | vibeml-0.1.0.tar.gz |
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| Size | 240.5 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / vibeml-0.1.0-py3-none-any.whl
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| Size | 243.8 kB |
| Tags | Python 3 |
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