PHP★ 4,854↓ 1.8M/moOct 24, 2026
TypeScript★ 4,854↓ 927K/moOct 21, 2026
RubyGems80Excellenthealth index

lobsters/lobstersComputing-focused community centered around link aggregation and discussion
Ruby · HTML★ 4,854Oct 24, 2026

lk-geimfari/mimesisMimesis is a Python library for generating fake but realistic data in multiple languages and locales.
Python★ 4,853↓ 2M/moOct 24, 2026
Go★ 4,852Oct 21, 2026
Go★ 4,851Oct 24, 2026
C#★ 4,847Sep 16, 2026
Go91Excellenthealth index

mvanhorn/cli-printing-pressEvery API has a secret identity. This finds it, absorbs every feature from every competing tool, then builds the GOAT CLI — designed for AI agents first, with SQLite sync, offline search, and compound insight commands.
Go · Go Template★ 4,847Oct 24, 2026
Go★ 4,846Oct 24, 2026
npm94Exceptionalhealth index
JavaScript★ 4,845↓ 8.9M/moOct 3, 2026
npm96Exceptionalhealth index
TypeScript★ 4,841↓ 439M/moSep 17, 2026
npm88Excellenthealth index
JavaScript★ 4,835↓ 94.2M/moSep 17, 2026
npm87Excellenthealth index

pdfme/pdfmeOpen-source PDF generation library built with TypeScript and React. Features a WYSIWYG template designer, PDF viewer, and powerful generation capabilities. Create custom PDFs effortlessly in both browser and Node.js environments.
TypeScript★ 4,831↓ 3.5M/moSep 15, 2026
Go81Excellenthealth index
Go★ 4,830Sep 19, 2026
Packagist96Exceptionalhealth index
PHP★ 4,830↓ 6.6M/moOct 24, 2026
C · C++★ 4,829Sep 19, 2026
npm89Excellenthealth index

vinta/pangu.jsOpinionated paranoid text spacing in JavaScript, with on-device AI semantic judgment
TypeScript · JavaScript★ 4,826↓ 246.1K/moSep 18, 2026
RubyGems73Goodhealth index
Ruby★ 4,824Oct 24, 2026
Ruby★ 4,823Oct 24, 2026
PHP★ 4,823↓ 137.2K/moOct 24, 2026
Go81Excellenthealth index
Go★ 4,821Oct 24, 2026
Ruby · Gherkin★ 4,820Oct 24, 2026
NuGet98Exceptionalhealth index
C#★ 4,820Sep 19, 2026
npm94Exceptionalhealth index
TypeScript★ 4,817↓ 572.1K/moOct 20, 2026
C#★ 4,817Oct 24, 2026
PyPI90Excellenthealth index

py-why/EconMLALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Jupyter Notebook · Python★ 4,817↓ 348.7K/moOct 18, 2026
Packagist53Moderatehealth index

endroid/qr-codePHP QR Code library that helps you create QR codes in a jiffy
PHP★ 4,816↓ 3.8M/moOct 20, 2026

Studio-42/elFinder📁 Open-source file manager for web, written in JavaScript using jQuery and jQuery UI
JavaScript · PHP★ 4,811↓ 238.5K/moOct 24, 2026
npm · Go98Exceptionalhealth index
TypeScript★ 4,810↓ 1,502/moSep 17, 2026
Go96Exceptionalhealth index
Go★ 4,809Oct 24, 2026