✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode 题解
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✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode 题解
Algorithms and Data Structures implemented in Go for beginners, following best practices.
GoDS (Go Data Structures) - Sets, Lists, Stacks, Maps, Trees, Queues, and much more
Unified querying, transformation, and modification of JSON, TOML, YAML, XML, INI, HCL, KDL and CSV.
Lightweight, fast and reliable key/value storage engine based on Bitcask.
A simple, fast, embeddable, persistent key/value store written in pure Go. It supports fully serializable transactions and many data structures such as list, set, sorted set.
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom
Graph algorithms and data structures
A Go library for an efficient implementation of a skip list: https://godoc.org/github.com/MauriceGit/skiplist
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LibraDB is a simple, persistent key/value store written in pure Go in less than 1000 lines for learning purposes.
Bitset data structure
Generic graph data structures and algorithms for Go (Golang): dependency graphs (DAGs) with cycle checks and topological sort, BFS and DFS traversal, Dijkstra and other shortest paths, connectivity and partitioning. No dependencies.
A comprehensive, reusable and efficient concurrent-safe generics utility functions and data structures library.
Probabilistic set data structure
Ordered-concurrently a library for concurrent processing with ordered output in Go. Process work concurrently and returns output in a channel in the order of input. It is useful in concurrently processing items in a queue, and get output in the order provided by the queue.
radix tree (also "radix trie" or "compact prefix tree" or "compressed trie")
Generic, zero-alloc, 100%-test covered Quadtree for golang
A simple Set data structure implementation in Go (Golang) using LinkedHashMap.
Sliding-window and regular top-K sketches, based on HeavyKeeper
Generic double-ended heap (min-max heap) for Go — O(1) min and max, O(log n) push/pop
The kitchen sink for clean Go projects — generic helpers for slices, maps, parallel work, JSON, HTTP, and containers