EZ Seed Finder vs MC Seed View

EZ Seed Finder searches for Minecraft Java Edition seeds through a graphical interface or the ezsf command-line tool. Its .ezsf criteria language supports random or sequential scans, seed ranges, thread counts and result limits. A search can combine checks across the Overworld, Nether and End, including structures, biomes, spawn conditions, strongholds, bastion variants, distances between structures, mobs and chest loot. Structure options include villages, temples, mansions, monuments, ruined portals, ancient cities and trial chambers. Results appear in a table, and double-clicking one copies its seed. The search engine uses cubiomes through a vendored cubiomespi-fork build. The package runs on Linux, macOS and Windows and requires Python 3.11 or later; the GUI also requires tkinter. Windows installation may require Microsoft C++ Build Tools to compile the native library. Stronghold and terrain results have accuracy limits: full-stronghold checks use a ring-1 proximity heuristic, while terrain and height checks are experimental biome-based proxies rather than true surface-noise analysis. The project is MIT-licensed and free, with no map preview.

MC Seed View is a free browser-based Minecraft seed map viewer for examining a world before loading it. Its interactive maps cover the Overworld, Nether, and End, with zoom from a world view to chunk-level detail. The tool can locate more than 20 structure types, show coordinates, and provide teleport commands. Seed search finds worlds matching criteria and grades them from S to F using nearby structures, biome variety, and spawn quality. Loading a level.dat file can identify its seed, Minecraft version, and spawn point. Biome and structure calculations run in the browser using cubiomes compiled to WebAssembly; seed values are not sent to the operator's servers. The site says it can work offline after the first page load and can be installed as a Progressive Web App. It supports Java and Bedrock editions, though Bedrock biome accuracy is still improving. The map does not predict variable details such as trees, ore veins, and tall grass.