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Aniwa v0.1.0

Initial Foundation Release

Release Date: May 15, 2026

Overview

v0.1.0 represents the first public foundation release of Aniwa.

This release establishes the core architecture and profiling infrastructure for the project.

Aniwa was created to provide:

fast, intelligent, and developer-friendly dataset understanding

for modern data workflows.

Release Goals

The goals of this release were to establish:

  • foundational architecture
  • dataset profiling systems
  • report generation systems
  • extensible project structure
  • contributor-ready infrastructure

Core Philosophy

This release was built around several principles:

Principle
universal
developer-first
fast
modular
intelligent
beautiful
automation-friendly

Major Features

Universal Dataset Support

Aniwa v0.1.0 introduces support for:

Format
CSV
Excel (.xlsx/.xls)
JSON
Parquet

Why This Matters

Modern data teams work with datasets across many formats.

Aniwa aims to provide:

one profiling workflow across all datasets

Profiling Engine

This release introduces the first version of the Aniwa profiling engine.

Current Profiling Capabilities

The engine currently supports:

Capability
schema profiling
null analysis
duplicate detection
uniqueness analysis
statistical profiling
intelligent insights

Schema Profiling

Schema profiling includes:

  • column discovery
  • type inference
  • structural analysis

Data Quality Analysis

Quality systems currently support:

  • null detection
  • duplicate row detection
  • sparse data analysis

Statistical Profiling

Statistical systems currently support:

Metric
minimum
maximum
mean
median
standard deviation

Intelligent Insights

The first insight system introduces:

  • possible ID detection
  • sparse column warnings
  • duplicate warnings
  • suspicious pattern detection

Profiling Modes

v0.1.0 introduces:

Mode
fast
deep

Fast Mode

Fast mode prioritizes:

lightweight rapid profiling

Deep Mode

Deep mode prioritizes:

full dataset analysis

Why Profiling Modes Matter

Different workflows require different tradeoffs between:

  • speed
  • depth
  • resource usage

Reporting System

v0.1.0 introduces the first version of the modular reporting system.

Supported Reports

Current report formats:

Format
console
JSON
HTML
Markdown

Console Reports

Console reports provide:

  • readable terminal output
  • rich formatting
  • developer-friendly UX

JSON Reports

JSON reports provide:

  • machine-readable outputs
  • automation compatibility
  • integration support

HTML Reports

HTML reports provide:

  • shareable profiling reports
  • improved presentation
  • better visualization

Markdown Reports

Markdown reports provide:

  • documentation workflows
  • GitHub compatibility
  • portable summaries

Architecture Foundation

v0.1.0 establishes the initial layered architecture.

Current Architecture

CLI
→ Readers
→ Profiling Engine
→ Models
→ Reports

Why This Architecture Matters

The architecture prioritizes:

  • modularity
  • scalability
  • maintainability
  • contributor friendliness

CLI Foundation

The first CLI release introduces:

  • profiling commands
  • report generation
  • profiling modes
  • report sections

Report Sections

The report section system introduces:

Section
summary
schema
quality
statistics
insights

Why Sections Matter

Sections allow:

  • focused reports
  • customizable outputs
  • smaller profiling workflows

Metadata System

v0.1.0 introduces automatic metadata generation.

Metadata Includes

Current metadata includes:

Metadata
dataset size
file type
runtime
profiling mode
report type

Why Metadata Matters

Metadata improves:

  • reproducibility
  • debugging
  • auditing

Developer Experience Improvements

This release strongly prioritizes:

developer-first workflows

DX Features

Current DX features include:

Feature
Rich terminal UI
clean CLI structure
modular architecture
readable reports

Project Structure

v0.1.0 establishes the initial project structure.

Initial Structure

Aniwa/
│
├── aniwa/
│   ├── cli.py
│   ├── core/
│   ├── io/
│   ├── models/
│   ├── reports/
│   └── utils/
│
├── tests/
├── examples/
└── docs/

Testing Foundation

Initial testing systems include:

  • reader tests
  • CLI tests
  • report tests

Documentation Foundation

This release establishes:

  • README documentation
  • contributor documentation
  • initial developer guidance

Why Documentation Matters

Documentation is treated as:

core project infrastructure

Internal Improvements

This release also includes:

  • modular report rendering
  • reusable models
  • cleaner execution flow
  • structured profiling pipeline

Current Limitations

v0.1.0 remains an early foundational release.

Areas still evolving include:

Area
charts
advanced templates
cloud integrations
governance systems
AI systems

Known Future Directions

Future releases are planned to include:

Feature
PDF reports
Excel reports
charts
configuration files
plugin systems
database support

Long-Term Vision

Aniwa is designed to evolve from:

a profiling CLI

into:

universal dataset intelligence infrastructure

Strategic Importance

v0.1.0 establishes:

the architectural foundation for the future Aniwa ecosystem

Acknowledgements

Thank you to everyone contributing ideas, feedback, testing, and architectural discussions during the foundation phase of Aniwa.

Related Documentation

Continue with:

  • philosophy.md
  • roadmap.md
  • developer-guide/architecture.md