Open source, composable payments platform | PCI compliant | SaaS and Self-host options | Enables connectivity to multiple payment, payout, fraud, vault and tokenization providers | Uplifts authorization with intelligent routing and revenue recovery | Reduce payment processing costs with cost observability | Reduces payment ops with reconciliation
Top PROCESSING GitHub Repositories & Tools (2026)
Discover the most starred and trending open source tools tagged with #processing.
๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Community-built comprehensive 2D content creation appplication for graphic design, digital art, and interactive real-time motion graphics powered by a node-based procedural graphics engine
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
Open-source inference server and production cluster for all the models your agent needs.
Event streaming platform for agentic AI. Continuously ingest, transform, and serve event streams in real time, at scale.
Style and Grammar Checker for 25+ Languages
Cross-platform desktop GUI app to clean image metadata
3D visualization and mesh analysis for science and engineering
One library | Many payment processors | Scale to multiple processors with few lines of code.
Fast, Simple and a cost effective tool to replicate data from Postgres to Data Warehouses, Queues and Storage
Cross-platform, customizable ML solutions for live and streaming media.
Web-based Traffic and Cybersecurity Network Traffic Monitoring
๐ A flexible and fun JavaScript file upload library
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
โก๏ธ OpenAI PHP is a supercharged community-maintained PHP API client that allows you to interact with OpenAI API.
๐ Efficient implementations for emerging model architectures
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
The Semantic Intelligence Layer for Ontologies
Machine learning with dataframes