France

Em'

Expert
@whispem

Founder & Maintainer @ WhispHub | Rust Developer πŸ¦€ | Data Science Alumni @ AMSE

minikv. Distributed, multi-tenant key-value and object store in Rust, with Raft consensus, WAL durability, and production-oriented operations.

397

whispem-lang. Whispem is a small, self-hosted programming language. The compiler is written in Whispem, compiles itself, and runs on a standalone C VM β€” no external dependencies beyond a C compiler. Rust serves as the reference implementation.

139

mini-kvstore-v2. Single node key–value store in Rust β€” segmented log, in-memory index, checksums, and manual compaction.

30

sussurro.cpp. Offline neural translation across English, Spanish, French & Italian β€” type or speak, read or hear it. Built on ggml.

28

mini-kvstore-go. Key-value store in Go with segmented logs, compaction, bloom filters & HTTP API

26

learn-assembly-with-em. Drowning in C? Dive deeper β€” after assembly, C feels like floating

24

dprism. A terminal-native tool that lets you explore, profile, and understand datasets instantly β€” without leaving your terminal, without spinning up Jupyter, without writing a single line of code. Built with Polars for lightning-fast data processing and Ratatui for a beautiful, responsive TUI.

18

whisphub-cli. Command-line client for WhispHub β€” push your code from terminal.

5

whispem.

4

kvstore-coffee. A minimalist HTTP key-value store in CoffeeScript (multi-files version).

4

DNA-Helix-3D-Visualization. Swift

3

DNA-Animation. Swift

2

asm.kvstore. A single-node key/value store over TCP, written in pure x86-64 assembly. No libc β€” syscalls only.

2

ProgressBar. Swift

1

Circles-Animation. Swift

1

LunarView. Swift

1

datastory. Automated data storytelling tool written in Rust, with a Python API. Ingest CSV, Parquet, or JSON, analyze data, and generate narrative reports with advanced visualizations. Modular, extensible, and ready for enterprise data science teams.

1

breast-cancer-diagnosis. Predicting breast-tumour malignancy from cell-nucleus morphometry β€” five features, one model a clinician can read.

1
18
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