sinhrks/distributed — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2017-01-21
Analyze millions of customer records faster by spreading the work across a cluster
Run thousands of experiment variations simultaneously to find the best approach
Train a machine learning model on a dataset too large for a single machine
Process a large dataset in minutes instead of hours by parallelizing across multiple servers
| sinhrks/distributed | 0xallam/my-recipe | 0xhassaan/nn-from-scratch | |
|---|---|---|---|
| Stars | — | — | 0 |
| Language | Python | Python | Python |
| Last pushed | 2017-01-21 | 2022-11-22 | — |
| Maintenance | Dormant | Dormant | — |
| Setup difficulty | hard | moderate | moderate |
| Complexity | 4/5 | 2/5 | 4/5 |
| Audience | data | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires setting up and coordinating multiple machines as a cluster before you can run distributed jobs.
A Python library for spreading code across a cluster of machines so large datasets and heavy computations finish in minutes instead of hours.
Mainly Python. The stack also includes Python.
Dormant — no commits in 2+ years (last push 2017-01-21).
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly data.
This repo across BitVibe Labs
double-check against the repo, no cap.