Eve Frontier — static data (era 5 cycle 4)

Snapshot taken: 2026-01-23

This folder contains extracted static/reference data used by the EVE Frontier tooling and indexer. The files are plain JSON exports and summary reports intended for lookup, debugging and analysis.

Source: https://github.com/VULTUR-EveFrontier/eve-frontier-tools

Files

• bom_summary.json — Bill-of-Materials summary produced from blueprint/material mappings; useful for quick inventory or production planning.
• clean_blueprints_to_materials.json — Blueprint -> material mapping cleaned and normalized for import into tools or databases.
• clean_materials_to_blueprints.json — Inverse mapping of materials to blueprints that consume them.
• constellation_labels.json — Human-readable names and short metadata for constellations.
• pipeline_results.json — Output summary from the data extraction pipeline (checks, counts, warnings).
• region_labels.json — Human-readable names and metadata for regions.
• stellar_cartography.json — Hierarchical map data used for rendering or spatial queries (regions → constellations → systems).
• stellar_constellations.json — Full constellation records with IDs and relationships.
• stellar_labels.json — Labels for stars/objects used in the cartography data.
• stellar_regions.json — Full region records with IDs and relationships.
• stellar_systems.json — Solar system records including IDs, names and location coordinates (TEXT to preserve precision).
• stellar_systems_lagrande.json - Contains alternative or augmented system coordinates used by the Lagrange mapping step.
• system_labels.json — Short display labels for solar systems.
• type_extraction_summary.json — Summary statistics from the types extraction process (counts, missing fields).
• type_names_all.json — Full list of extracted type names (includes unpublished / internal types).
• type_names_published.json — Filtered list of published/visible type names suitable for UI lists.
• types_by_group.json — Types grouped by their item groups for easier lookups and category pages.

How to use

• These are static JSON files — open them with any JSON-aware tool, import into a local database, or consume directly from scripts.
• Example (Python):

import json

with open('stellar_systems.json') as f:
	systems = json.load(f)
	print(len(systems))

Notes

• Coordinates and very large numeric IDs are stored as strings (TEXT) in outputs to avoid precision loss when moving between systems.
• The pipeline output (pipeline_results.json) contains helpful diagnostics if you need to re-run or debug extraction steps.