Systemic Tau v3.0 (Beta) - Desktop Engine & Advanced Analytics

We are excited to announce the Public Beta release of Systemic Tau v3.0, featuring a fully standalone macOS Desktop Application and a major overhaul of the underlying Epistemic Engine.
As a Beta release, this version introduces advanced pre-processing, deterministic rigorous reporting, and AI-driven insights into a single graphical interface. We invite researchers and data scientists to test the software and report any bugs or suggestions in the "Issues" tab.

📖 Documentation

Please read the Quick Start Guide & User Manual before running your first analysis to understand how to interpret the mathematical models, the $P$-Value alarms, and the pre-processing filters.

🚀 Key Features in this Beta

• Standalone macOS App: No Python or terminal required. Simply download the .dmg, install, and run the graphical interface natively.
• Transparent Data Health Layer: Added native strategies for missing data (NaNs), allowing users to choose between strict abortion, manual prompts, or auto-interpolation.
• Advanced Signal Smoothing: Introducing robust pre-processing filters directly in the sidebar, including Moving Average (n=3) and Savitzky-Golay (n=5), to clean high-frequency stochastic noise.
• Save & Compare Functionality: Save your full analytical reports locally and use the new "Compare with File" feature to benchmark current anomalies against historical data.
• Refactored Mathematical Kernel: The deterministic reporting structure has been condensed into a strict 7-section academic format for maximum clinical brevity.

⚠️ Known Limitations (Beta)

• The Multivariate analysis engine is currently disabled in this build to ensure mathematical stability.
• Large datasets (>100,000 rows) may take slightly longer to process without the Numba compiler (which is intentionally bypassed in this standalone build).

🛠 Installation Instructions (macOS)

1. Download the SystemicTau-Installer.dmg file from the Assets section below.
2. Double-click the downloaded file.
3. Drag and drop the SystemicTau.app icon into your Applications folder (or Desktop).
4. Double-click to launch.
   (Note: As this is an independent beta release, you may need to Right-Click -> "Open" on the first launch to bypass the macOS unsigned developer warning).

Systemic Tau v2.0.1: The "Magna Synthesis" Framework Release

We are thrilled to announce the official v2.0.1 release of systemictau, transitioning from an initial MVP to a production-ready, mathematically robust scientific framework.

This package operationalizes the three-layer ontological framework of the Systemic Tau paradigm and the Discrete Extramental Clock (RECD) as described in the Síntesis Magna.

🚀 What's New in v2.0.1?

This major release establishes the definitive software engineering foundation for all future interdisciplinary applications (ecology, finance, complex systems):

• Automated Testing Suite: Implemented a robust pytest architecture (tests/test_core.py) to mathematically verify core algorithms, threshold bounds, and topological constraints.
• Continuous Integration (CI/CD): Integrated GitHub Actions to automatically test the codebase across Python 3.9 through 3.12 environments on every push.
• Sphinx Documentation Engine: Scaffolded the docs/ directory using Sphinx for automatic API generation and high-quality web documentation.
• Interactive Tutorials: Added basic_tutorial.ipynb allowing researchers to visualize the RECD and structural reorganizations dynamically using synthetic chaotic maps.
• Community Standards: Included CONTRIBUTING.md, an MIT LICENSE, and a comprehensive ROADMAP.md outlining the vision for future modules.
• Academic Citing: Integrated CITATION.cff ensuring proper attribution directly to the Zenodo DOI of the Magna Synthesis.

📦 Installation

pip install systemictau==2.0.1

Systemic Tau v2.0.0: The "Magna Synthesis" Framework Release

We are thrilled to announce the official v2.0.0 release of systemictau, transitioning from an initial MVP to a production-ready, mathematically robust scientific framework.

This package operationalizes the three-layer ontological framework of the Systemic Tau paradigm and the Discrete Extramental Clock (RECD) as described in the Síntesis Magna.

🚀 What's New in v2.0.0?

This major release establishes the definitive software engineering foundation for all future interdisciplinary applications (ecology, finance, complex systems):

• Automated Testing Suite: Implemented a robust pytest architecture (tests/test_core.py) to mathematically verify core algorithms, threshold bounds, and topological constraints.
• Continuous Integration (CI/CD): Integrated GitHub Actions to automatically test the codebase across Python 3.9 through 3.12 environments on every push.
• Sphinx Documentation Engine: Scaffolded the docs/ directory using Sphinx for automatic API generation and high-quality web documentation.
• Interactive Tutorials: Added basic_tutorial.ipynb allowing researchers to visualize the RECD and structural reorganizations dynamically using synthetic chaotic maps.
• Community Standards: Included CONTRIBUTING.md, an MIT LICENSE, and a comprehensive ROADMAP.md outlining the vision for future modules (higher-order patterns, probabilistic forecasting, and JAX/Numba optimization).
• Academic Citing: Integrated CITATION.cff ensuring proper attribution directly to the Zenodo DOI of the Magna Synthesis.

📦 Installation

pip install systemictau==2.0.0

Systemic Tau v0.1.2

Updated version with version attribute and improved README with DOI badge.

Systemic Tau v0.1.0 - Initial Release

Initial public release of the systemictau Python package.
Implements Systemic Tau (ordinal coherence), RECD (Discrete Extramental Clock), three-layer ontology, and Higuchi fractal dimension estimation.
DOI: (se generará automáticamente en Zenodo)