Amidha Ayurveda

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Amidha Ayurveda Research Platform

The Open Ayurvedic Herb Database

Explore 360 herbs categorized by Rasa, Guna, Virya, Vipaka, Dosha & Prabhava.

A continuously evolving dataset built for research, education, and digital Ayurveda innovation.

Citation: Amidha Ayurveda Herb Database v2.0, 2026.
DOI License: MIT
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🧬 Similarity & Fingerprint Lab

Analyze a herb's mathematical uniqueness and discover its closest pharmacological twins.

Select a herb above and click Run Analysis.

🌐 Automatic Cluster Discovery

The engine has scanned the dataset to find the largest naturally occurring pharmacological groups.

📊 Statistics Hub & Rare Herb Finder

Moving beyond single filters to find the most common property combinations and the rarest herbs in the text.

Top 10 Most Common Property Combinations

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The Rare Herb Finder (Top 10 Most Unique)

Calculated by identifying the least frequently occurring attribute combinations across the database.

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🔬 Association Mining

Select a specific property to mathematically uncover what other traits frequently occur alongside it.

Association Results

Select a property above to see correlations.

🕸️ Concept Knowledge Graph

Explore concepts, not herbs. Select an action (e.g., Balya) to see its core pharmacological makeup.

Concept Map

Select a concept above.

📚 Methodology & Data Sourcing

Classical Textual References

This dataset compiles classical Ayurvedic pharmacological data meticulously verified from authoritative sources including the Charaka Samhita, Sushruta Samhita, and Bhavaprakasha Nighantu.

The Computational Framework

To enable genuine research, qualitative Ayurvedic concepts have been structurally mapped into machine-readable arrays. Rather than reading text, attributes like Rasa and Virya are processed mathematically to generate Uniqueness scores, clustering, and association probabilities in real-time.

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