Open Source Pricing & Packaging Infrastructure
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Updated
Aug 13, 2026 - Python
Open Source Pricing & Packaging Infrastructure
High-performance Rust quantitative finance library.
Real-time price recommendation engine with demand forecasting and A/B test infrastructure
getmage.io provides smart pricing for your in-app purchases. Distributing products globally should not be a one price fits all strategy. Get started with Mage to scale your products worldwide!
Modular multi-asset-class Monte Carlo engine for pricing exotic derivatives and structured products with calibrated implied volatility surfaces (Heston, local vol, SVI) and a user-friendly Django web interface.
Case study: campaign/discount pricing engine for a scan-based inventory system (private codebase)
Construct volatility surfaces from live equity options data using no-arbitrage constraints, SVI calibration, and provide local vol, Greeks, and diagnostics.
getmage.io provides smart pricing for your in-app purchases. Distributing products globally should not be a one price fits all strategy. Get started with Mage to scale your products worldwide!
Event-driven dynamic pricing engine for e-commerce using Go, Kafka, Redis, Oracle, and Next.js. It processes user behavior signals, computes demand-weighted prices in near real time, exposes REST + WebSocket APIs, supports manual overrides, and visualizes price history on a live dashboard.
Vukabid helps SMEs and enterprises identify, analyze, and win high-probability tenders with data-driven precision, By leveraging neural matching, automated compliance orchestration, and historical price benchmarking.
A microservice for calculating transaction fees and commissions with rule-based pricing engine built on .NET 9 and PostgreSQL
Python CLI application that generates house cleaning and yard service quotes using structured pricing rules, validation, and automated tests.
Scrapes competitor price points via headless browser and generates Gemini AI pricing advice.
Open-source dynamic pricing engine for ride-haling apps
Exploring market maker models for e-commerce dynamic pricing
🧾 Streamline B2B sales with this AI-driven microservice for accurate quotation computations and bilingual email generation, built with FastAPI and Pydantic.
A scalable stochastic simulation engine for derivative pricing that models uncertainty through probabilistic path sampling. Designed for high-dimensional financial systems, enabling accurate valuation of complex and path-dependent options.
ML pricing engine for vehicle buying — expected-value offer optimisation with XGBoost, FastAPI, dbt and MLflow
Mobile home pricing engine — dynamic cost calculator with transport logistics, customs duties, margin optimization. Multi-currency EU support.
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