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NFTs & Gaming

Dhof Loot

Dhof Loot is a JavaScript repository of local scripts and data for collecting and analyzing Loot NFT attributes and related derivative-project data, including occurrence counts, rarity and probability rankings, and base64-encoded token SVGs.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Dhof Loot — OpenViST project profile in NFTs & Gaming.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when you need a local, script-based workflow for structured Loot attributes and the repository’s specific rarity and probability analyses.

Who it is for

  • Developers building tools around Loot NFT data
  • Researchers comparing Loot item attributes and rarity measures
  • People examining projects inspired by or built on Loot

Documented uses

  • Collect Loot token IDs and their eight gear-slot attributes.
  • Count how often each attribute occurs.
  • Rank Loot bags using the repository’s occurrence-score method.
  • Generate probability-based rankings from attribute probabilities by slot.
  • Collect token images as base64-encoded SVGs.
Before you choose

Requirements & limits

The repository is public and identifies The Unlicense as its license. Its documented workflow uses npm commands locally.

  • The repository provides two distinct ranking methods: an occurrence-count score and a probability-based ranking.
  • The main Loot data represents eight gear slots: chest, foot, hand, head, neck, ring, waist, and weapon.
  • Derivative-project workflows are documented separately in their subdirectories.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Collect and analyze Loot data locally

Generate the repository’s Loot attribute, occurrence, rarity, and probability data, with token images as an optional output.

Before you start

  • A local copy of the dhof-loot repository
  • npm

Steps

  1. Run the command below to install dependencies.

    Documented command
    npm install

  2. Run the command below to collect Loot data.

    Documented command
    npm run collect

  3. Run the command below to parse Loot statistics.

    Documented command
    npm run parse

  4. Optionally run the command below to collect base64-encoded Loot SVGs.

    Documented command
    npm run images

Expected outcome

The documented outputs include token attributes, attribute occurrence counts, rarity and probability rankings, and base64-encoded SVG images when the image script is run.

Guide limitations

  • The ranking outputs use the repository’s stated occurrence-score and slot-probability methods.
  • Derivative-project scripts have separate instructions in their respective subdirectories.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
Anish-Agnihotri/dhof-loot · Official homepage title · retained in its source language
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