GhostAnalyst Ecosystem

v0.4.0

StatsLibX is the statistics core of a three-library data ecosystem. Each library works standalone; together they cover the full workflow from raw data to a published report.

The Three Libraries

StatsLibX

Statistics core: descriptive, inferential and computational analysis, data handling and simulations.

pip install statslibx

Site GitHub

SynaptIX

ML engine: supervised, unsupervised, bayesian and neural models with pipelines, evaluation and tuning.

pip install synaptix

Site GitHub

ViewX

Visualization engine: interactive charts, automatic dashboards, EDA reports, presentations and PDFs.

pip install viewx

Site GitHub

How They Connect

StatsLibX → ViewX — analysis results export as HTML, PDF or presentations via to_report_data() /from_report_payload() (pip install statslibx[viewx]).
StatsLibX → SynaptIX — DataFrames produced with the polars backend feed SynaptIX models directly, no conversion.
SynaptIX → StatsLibX — model.diagnostics(X, y) runs inferential tests on residuals via StatsLibX (pip install synaptix[stats]).
Shared loaders — load_dataset(name, backend=..., return_X_y=...) has the same signature in the three libraries.

End-to-End Example

ecosystem.py

python

# pip install statslibx[viewx] synaptix[viewx,stats] viewx
from statslibx import DescriptiveStats, InferentialStats, load_iris
import synaptix as sx
from viewx import from_report_payload

df = load_iris()

# 1. Statistics and data quality (StatsLibX)
summary = DescriptiveStats(df).summary()
anova = InferentialStats(df).anova_oneway("sepal_length", "species")

# 2. Model + evaluation + statistical diagnostics (SynaptIX)
X, y = df.drop(columns="species"), df["species"]
model = sx.supervised.RandomForestClassifier().fit(X, y)
evaluation = model.evaluate(X, y)
model.diagnostics(X, y)

# 3. Everything into one dashboard (ViewX)
payload = evaluation.to_report_data(include_figures=True)
from_report_payload(payload, target="html", filename="analisis.html")

Install Everything

bash

python

pip install statslibx[all] synaptix[all] viewx[all]