🚀 SwiftSci v3.9.0 — 100% DocC Coverage

Apple Silicon Data Science & ML

A unified, high-performance C/vDSP/MLX accelerated data analytics ecosystem for Apple Silicon. 100% DocC API Coverage — v3.9.0 Advanced NLP N-Grams, Sublinear TF, Stratified Sampling, BorderlineSMOTE & ADASYN, t-SNE Manifold Learning, Model Interpretability, and Interactive EDA Charts.

14 Core Modules
Swift 6 Strict Concurrency
100% DocC Coverage
 Launch Keynote Presentation ➔

Explore Documentation Modules

📊
Data Engines

SwiftDataFrame

Zero-copy columnar tables built on Apache Arrow. Features pure-Swift Parquet reader/writer, out-of-core ChunkedDataFrame, POSIX mmap partitioning, and SIMD hash joins.

📈
Statistics

SwiftStats

Vectorized descriptive statistics, probability distributions (Student-t, Chi-Square, F), paired t-tests, and ANOVA powered by Accelerate vDSP.

⚙️
Transforms

SwiftPreprocessing

StandardScaler, MinMaxScaler, OneHotEncoder, TargetEncoder, KNNImputer, and scikit-learn parity Pipeline & ColumnTransformer.

🤖
Supervised ML

SwiftML

Linear/Logistic Regression, Decision Trees, Random Forests, GBDT Regressor, OneVsRestClassifier multi-class solver, and MLPs.

🧩
Unsupervised & Search

SwiftCluster

In-memory VectorStore cosine search, SVD-based PCA dimensionality reduction, DBSCAN density clustering, IsolationForest, LocalOutlierFactor, and KMeans++.

🎯
AutoML & Metrics

SwiftOptimize

Forecast & Regression Errors Suite (RMSE, MAE, MAPE, R²), ROC-AUC & PR-AUC, AutoML model selection, K-Fold cross-validation, GridSearchCV, and RandomizedSearchCV.

📉
Time Series

SwiftForecast

ARIMA, SARIMA, Holt-Winters exponential smoothing, GARCH volatility, Kalman Filter 1D, STL decomposition, and Koopman operator EDMD.

📝
Natural Language

SwiftNLP

VADER Sentiment Analysis, Laplace NaiveBayesClassifier, TextNormalizer, Ukrainian & English stopwords, BPETokenizer, NGramTokenizer, and TFIDFVectorizer.

👁️
Explainability

SwiftExplain

Parallel KernelSHAP, fast TreeSHAP feature attributions, PartialDependencePlot (PDP), and PermutationImportance metrics.

🧠
Deep Learning

SwiftLLM

QuantizedLinear (4-bit/8-bit GPU), PagedKVCache block allocator, JSONGrammarDecoder token constrained decoding, RoPE, SwiGLU, and GGUF/SafeTensors parsers.

🎨
Visuals

SwiftVisualization

Standalone interactive HTML chart exporters: correlation heatmaps, ROC curves, feature importances, and confusion matrix displays.

🖼️
Computer Vision

SwiftVision

Real YOLOv8n object detection, YOLOv8-Seg instance segmentation with proto masks, CLIP vision-language multimodal projector, and U-Net architecture.

🗄️
Databases

SwiftDatabase

Direct relational database connectors (SQLite, PostgreSQL, MySQL) enabling SQL query execution straight into zero-copy DataFrames.

🛠️
AI Agents

SwiftAgent

Autonomous ReAct reasoning loop with SwiftSciToolbox (stats, drift, forecast, NLP, safe SQL), StructuredAgentTool JSON schema, SemanticVectorMemory (HNSW), real-time streaming, loop sentry, and SwiftUI AgentDialogueController.