There isn't a specific open-source library dedicated to metering-based pricing calculation, as pricing models can vary greatly depending on the business requirements and the nature of the service. However, there are several general-purpose libraries and tools that can be used as building blocks to create a custom solution for metering-based pricing calculation.
Here are a few libraries and tools that can be helpful:
Billing engines: Libraries like Kill Bill (https://killbill.io/) and jBilling (http://www.jbilling.com/) are open-source billing platforms that can be customized to implement various pricing models, including metered billing.
Time-series databases: Time-series databases like InfluxDB (https://www.influxdata.com/) or OpenTSDB (http://opentsdb.net/) can be used to store and aggregate usage data efficiently.
Data processing libraries: Python's Pandas (https://pandas.pydata.org/) and NumPy (https://numpy.org/) libraries can be used to manipulate and analyze usage data, as well as to apply pricing rules.
Visualization libraries: Libraries like Matplotlib (https://matplotlib.org/) or Plotly (https://plotly.com/python/) can be used to create visualizations of usage data, which can be helpful for understanding and optimizing pricing models.
To create a metering-based pricing calculation solution, you would typically combine these libraries and tools based on your specific requirements, and implement custom logic to handle your pricing model.
