PyRank
  • Search
  • PyPI
  • GitHub
  • Insights
  • Compare
  • Advisories
  • Ecosystem
  • About

Dfs Python Packages

Python packages with the GitHub topic dfs. Sorted by monthly downloads, with stars and forks.
DHI
mikeio

Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files.

9K 185 62
BenBrostoff
draftfast

A tool to automate and optimize DraftKings and FanDuel lineup construction.

2K 299 120
MorvanZhou
pathfind

path finding algorithms

311 17 2
Arghya721
pysitecrawler

PySiteCrawler is a Python library for web crawling and data extraction. It's designed for exploring web pages, extracting text, and managing links efficiently. You can easily store scraped data in .txt files for analysis. Future updates will add more traversal strategies.

288 8 0
queelius
algograph

Immutable graph data structures and algorithms library with interactive shell

284 0 0
nextdataAI
nextdataai

nextdataAI: a Python library for solving mazes using classical algorithms (A*, BFS, DFS, Dijkstra, Greedy), reinforcement learning (QLearning, QTable, QNN, QLSTM), and novel pseudo-heuristics. Features include a neural network-based heuristic approximating Manhattan distance (NNHeuristic) and a custom SManhattan heuristic, a dataset gener

214 0 0
will2dye4
labyrinth-py

Generate and solve mazes using various algorithms

124 29 0
n-roth12
lineup-optimizer

A Python project for generating NFL daily fantasy contest lineups.

111 12 1
chrille0313
spellcast-solver

A trie-guided solver for the Discord SpellCast word game.

96 0 0
pgolo
tredge

Tiny module for finding transitive edges in a directed acyclic graph

85 0 0
koriavinash1
ppgm

Graph: Representation, Learning, and Inference Methods

78 4 0
larz-scripter
larzgraph

Graphs and everyday algorithms (BFS/DFS, Dijkstra, components, topological sort, cycles, SCC) in pure Python. Zero dependencies.

76 0 0
Shikha-code36
competitivepython

Python Algorithms Package used in competitive programming

41 17 4
    • Original data from PyPI, GitHub, and OSV; downloads served through ClickHouse
    • Sources & methodology