Life & fun · alternatives · 2026
24 alternatives to A reimplementation of Google's sparsehash in C
A simple re-implementation of Google's sparsehash as a learning excercise. - qpfiffer/Simple-Sparsehash
Simple-Sparsehash is a C implementation of Google's sparsehash data structure created as a learning exercise. It provides a hash table designed to use minimal memory while maintaining efficient performance. The project… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. A reimplementation of Google's sparsehash in C launched in 2015; newer entries below may have overtaken it.
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Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…
2023 · github.com · its alternatives →
- 2
End-to-end deep dive of the project, spanning a large GPU cluster, distributed RocksDB, and terabytes of sharded HNSW.
2025 · blog.wilsonl.in · its alternatives →
- 3
HyperLogLog with lots of sugar (Sparse, LogLog-Beta bias correction and TailCut space reduction) brought to you by Axiom - axiomhq/hyperloglog
2017 · github.com · its alternatives →
- 4
A small, portable, linear probing hash map. Contribute to e-dant/salmagundi development by creating an account on GitHub.
2024 · github.com · its alternatives →
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Experimental Global Optimization Algorithm. Contribute to chrisstroemel/Simple development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 6AS
- 7
Haskell re-implementation of STOKE, the stochastic superoptimizer - blaze/notebooks/tutorial.ipynb at master · bollu/blaze
2019 · github.com · its alternatives →
- 8TT
2017 · npmjs.com · its alternatives →
- 9
Simple hash table implementation for C. Contribute to watmough/jwHash development by creating an account on GitHub.
2015 · github.com · its alternatives →
- 10
:gem: Beamsplitter - A new (possibly universal) hash that passes SMHasher. Built mainly with a random 10x64 S-box. Also in NodeJS - DO-SAY-GO/beamsplitter
2020 · github.com · its alternatives →
- 11
Contribute to seiflotfy/pcsa development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 12
An Evaluation of Linear Probing Hashtable Algorithms - senderista/hashtable-benchmarks
2019 · github.com · its alternatives →
- 13
Native Go version of HighwayHash with optimized assembly implementations on Intel and ARM. Able to process over 10 GB/sec on a single core on Intel CPUs - https://en.wikipedia.org/wiki/HighwayHash - minio/highwayhash
2018 · github.com · its alternatives →
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A Go library that implements Consistent Hashing and Consistent Hashing With Bounded Loads. - lafikl/consistent
2017 · github.com · its alternatives →
- 15DO
2015 · home.ronsor.gq · its alternatives →
- 16
I want to share a really dumb, but very practical project I have packaged this summer, to perform operations on strings much faster. I was using Python to work with a multi-terabyte newline-delimited file. Reading, splitting, and shuffling it was a nightmare. So, I wrapped a trivial hardware-friendly heuristic I've been using for the last few years into a CPython library. The part I enjoyed the most is implementing SIMD behavior without SIMD instructions... Using 64-bit words to work at 8-bit granularity. Unlike conventional SIMD, the code would remain the same for ~~almost~~ any hardware.…
2023 · ashvardanian.com · its alternatives →
- 17
A simple GPU hash table implemented in CUDA using lock free techniques - nosferalatu/SimpleGPUHashTable
2020 · github.com · its alternatives →
- 18AP
2016 · chara.cs.illinois.edu · its alternatives →
- 19
A minimalist deep learning library written from scratch in Python - sradc/SmallPebble
2021 · github.com · its alternatives →
- 20
Minimal, readable LLM post-training experiments on one 8GB GPU. Measures forgetting, seed variance, and RL emergence. - pochenai/nano-llm-posttraining
Aug 2026 · github.com · its alternatives →
- 21KC
If you’ve ever been curious about how GPT actually works under the hood, I built a small project you might find interesting. I implemented a GPT-style transformer from scratch in a single notebook—covering tokenization, embeddings, causal self-attention, training, and autoregressive text generation without relying on high-level abstractions. The focus was on mechanistic clarity rather than scale or performance, and the notebook is structured to read more like a technical walkthrough than an experiment log. Feedback from people who’ve built or studied transformers would be very welcome.
May 2026 · pythongiant.github.io · its alternatives →
- 22TS
2021 · mro.name · its alternatives →
- 23VA
2011 · thevash.com · its alternatives →
- 24
We’ve just open-sourced SemHash, a lightweight package for semantic text deduplication. It lets you effortlessly clean up your datasets and avoid pitfalls caused by duplicate samples in semantic search, RAG, and machine learning. Main Features: - Fast and hardware friendly: Deduplicate datasets with millions of records in minutes, on a CPU. - Flexible: Works on single or multiple datasets (e.g., train/test deduplication), and multi-column data (e.g., Question-Answering datasets). - Lightweight: Minimal dependencies (largest is NumPy). - Explainable: Easily inspect duplicates and what…
2025 · github.com · its alternatives →
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