A curated collection of resources for software engineers building billing, payments, pricing and accounting systems.
Awesome Billing is a curated GitHub repository that serves as a knowledge hub for software engineers and developers building billing, payments, and pricing systems. It aggregates articles, research papers, open-source tools, and best practices to help teams design and implement robust financial infrastructure for cloud platforms and SaaS businesses.
Software engineers, DevOps professionals, and product managers working on billing systems, fintech applications, or cloud services who need to understand the complexities of pricing, invoicing, and payments.
It saves developers time by providing a centralized, vetted collection of resources that would otherwise be scattered across the internet, reducing the learning curve and helping avoid common pitfalls in billing system design.
💰 Billing & Payments knowledge for cloud platforms
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Aggregates over 50 subtopics from pricing to fraud, saving hours of scattered research, as evidenced by the extensive table of contents covering everything from double-entry accounting to UX/UI.
Bridges software engineering with finance and accounting, providing real-world examples like multi-currency handling and tax compliance, as highlighted in sections like Accounting and Taxes.
Includes direct links to projects like Lago for metering and TigerBeetle for accounting, offering practical starting points for implementation rather than just theoretical advice.
Actively maintained on GitHub with recent additions, ensuring the list stays relevant with new tools and articles, though users must verify link currency.
The sheer volume of links, such as over 100 entries in the Pricing section alone, can be paralyzing without guided pathways or prioritization for newcomers.
While it collects tools and articles, it doesn't provide a cohesive architecture or step-by-step best practices for building a billing system from scratch, leaving gaps in practical application.
Resources are listed without ratings or recommendations, making it hard to identify the most critical or effective materials, which the README admits is a curated but unranked collection.