terminal-based personal organizer
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Updated
Sep 13, 2023 - Rust
terminal-based personal organizer
Rust Universally Unique Lexicographically Sortable Identifier
A lightweight pomodoro focus tool with cross-platform desktop notifications on Linux, MacOS and Windows.
An efficient Code Editor made from scratch using egui!
F2 is a fast grammar based fuzzzer building on the advances made by F1 and fzero fuzzers.
an efficient way to generate github stats implemented in rust
Process any data size with a fixed, small memory footprint. EM-√ is an external-memory ETL/log processing engine with hard peak-RAM guarantees. Unlike traditional systems that "try" to stay within memory limits, EM-√ enforces a strict memory cap, enabling you to process arbitrarily large datasets using small memory footprints.
GUI for calculating the efficiency of CeBrA (Cerium Bromide Array) with different calibration sources. Runs on web and locally!
A Rust crate that provides a generic method to determine non-negativity for any type supporting PartialOrd and Default. Explore efficient, minimal-overhead checks that dive deep into the value nature of types in Rust.
A TextEdit like editor written in rust for speed and efficiency
Managed services of TIO Pro, optimized for highest possible cloud performance.
A simple command line utility to change directories easily
A Smart Command Line Tool
A simple and fast Rust-based command line tool for everyday tasks and automation.
Lightweight Solana observer framework for low-latency blockchain events without a full RPC node
Competitive Programming and Contests 23/24 - UniPi, fall semester.
⏳ Extend primitive integers in Rust with easy methods to create `std::time::Duration` objects for timeouts, delays, and schedules.
🚀 Process large datasets efficiently with EM-√, the external-memory ETL engine that enforces strict memory limits for reliable data handling.
This repository hosts a performance comparison between Python and Rust implementations of various algorithms. The aim is to provide an educational resource to see how the same algorithms can be executed in Python and Rust, highlighting the execution time and performance benefits.
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