reiinakano/xcessiv
Some data may be outdated — see provenance labels.
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python. observed · 2026-09-26
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 3514
- days_rel: n/a
- days_push: 3058
- n_releases_24m: 0
Adoption not part of the score
1263 stars · 106 forks observed · 2026-09-26
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Xcessiv is a web-based Python application for building, tuning, and managing stacked machine learning ensembles. It provides a GUI for defining base learners, running parallel hyperparameter searches, and exporting ensembles as standalone Python code.
Use cases
- build stacked ensembles for kaggle competitions
- automate hyperparameter tuning of scikit-learn models
- compare hundreds of model-hyperparameter combinations
- run parallel hyperparameter searches across multiple cores
- export a stacked ensemble as a standalone python file
- automate ensemble construction with greedy model selection
When to choose
- you want a GUI-driven workflow for stacked ensembling with scikit-learn-compatible models
- you need to track and compare many model-hyperparameter combinations in one place
- you want automated hyperparameter search via Bayesian optimization and TPOT integration
When to avoid
- you need actively maintained software - the last release was in 2018
- you work outside the scikit-learn API ecosystem
- you need deep learning or GPU-based model training workflows
Facets
application · maturity abandoned
machine-learning data-science gui machine-learning data-science python cross-platform stacked-ensembles hyperparameter-optimization automl scikit-learn bayesian-optimization tpot web-server
2 sources
- readme: https://github.com/reiinakano/xcessiv · fetched 2026-09-26 · 62fd096e64cf
- registry_pypi: https://pypi.org/pypi/xcessiv/json · fetched 2026-08-29 · 8a39236dc856
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| reiinakano/xcessiv | main | 23 |
For agents
markdown · JSON · MCP: product_card(name="reiinakano/xcessiv")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem