wiranata-orion/analyticshub

How wiranata-orion/analyticshub works

AnalyticsHub is a Laravel-backed analytics application with a separate Python computation engine. Its central workflow is dataset upload and profiling, followed by cleaning or feature engineering and analysis/modeling; results and artifacts are retained by the application. The Python dispatcher also exposes statistics, mining, forecasting, quality assessment, recommendations, insights, and explainability. The available excerpts establish the PHP-to-Python boundary and selected service calls; UI routing and several service implementations were not sampled, so those links are omitted.

Main entry points: main.py Command Dispatcher · DatasetService.php Dataset Service · loader.py Dataset Loading · FeatureEngineeringService.php Feature Service

Components 30

Application API

Dataset API app/Http/Controllers/Api/DatasetController.php
Analysis API app/Http/Controllers/Api/AnalysisController.php
Cleaning API app/Http/Controllers/Api/CleaningController.php
Feature API app/Http/Controllers/Api/FeatureSetController.php
Model API app/Http/Controllers/Api/ModelController.php

Dataset Lifecycle

Dataset Service app/Services/DatasetService.php
Dataset Records app/Models/Dataset.php
Column Records app/Models/DatasetColumn.php
Feature Service app/Services/FeatureEngineeringService.php
Feature Sets app/Models/FeatureSet.php

Python Engine

Python Bridge app/Services/PythonEngine.php
Command Dispatcher python/main.py
Dataset Loading python/core/loader.py
JSON Utilities python/core/io.py

Analytics Capabilities

Analysis Service app/Services/AnalysisService.php
Data Cleaning python/core/cleaner.py
Profiling python/core/profiler.py
Exploratory Analysis python/eda/analysis.py
Statistics python/stats/inferential.py
Data Mining python/mining/timeseries.py
Data Quality python/quality/assessment.py
Recommendations python/core/recommender.py
Insight Generation python/insight/generator.py

Modeling

Trained Models app/Models/TrainedModel.php
Feature Engineering python/preprocessing/engineering.py
AutoML python/ml/automl.py
Supervised Learning python/ml/supervised.py
Forecasting python/forecasting/models.py
Explainability python/ml/xai.py

Other components

User

Connections 34

User → Dataset API: submits data
Dataset API → Dataset Service: calls app/Http/Controllers/Api/DatasetController.php
Analysis API → Analysis Service: calls app/Http/Controllers/Api/AnalysisController.php
Cleaning API → Dataset Service: delegates
Feature API → Feature Service: calls app/Http/Controllers/Api/FeatureSetController.php
Model API → Trained Models: uses app/Http/Controllers/Api/ModelController.php
Model API → Dataset Records: uses app/Http/Controllers/Api/ModelController.php
Dataset Service → Python Bridge: runs commands app/Services/DatasetService.php
Dataset Service → Dataset Records: profiles and stores app/Services/DatasetService.php
Dataset Service → Column Records: stores columns app/Services/DatasetService.php
Feature Service → Python Bridge: runs transforms app/Services/FeatureEngineeringService.php
Feature Service → Dataset Service: builds parameters app/Services/FeatureEngineeringService.php
Feature Service → Feature Sets: creates app/Services/FeatureEngineeringService.php
Python Bridge → Command Dispatcher: runs process app/Services/PythonEngine.php
Command Dispatcher → JSON Utilities: formats responses python/main.py
Command Dispatcher → Data Cleaning: dispatches python/main.py
Command Dispatcher → Profiling: dispatches python/main.py
Command Dispatcher → Exploratory Analysis: dispatches python/main.py
Command Dispatcher → Statistics: dispatches python/main.py
Command Dispatcher → Data Mining: dispatches python/main.py
Command Dispatcher → Data Quality: dispatches python/main.py
Command Dispatcher → Recommendations: dispatches python/main.py
Command Dispatcher → Insight Generation: dispatches python/main.py
Command Dispatcher → Feature Engineering: dispatches python/main.py
Command Dispatcher → AutoML: dispatches python/main.py
Command Dispatcher → Supervised Learning: dispatches python/main.py
Command Dispatcher → Forecasting: dispatches python/main.py
Command Dispatcher → Explainability: dispatches python/main.py
Profiling → Dataset Loading: loads data python/main.py
Data Cleaning → Dataset Loading: loads data python/core/cleaner.py
Exploratory Analysis → Dataset Loading: loads data python/eda/analysis.py
Feature Engineering → Dataset Loading: loads data python/preprocessing/engineering.py
Supervised Learning → Dataset Loading: loads data python/ml/supervised.py
Analysis Service → Python Bridge: runs analysis

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