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Lotus

MITPython0.10.2

Open-source pricing and billing engine for SaaS companies to deploy, monitor, and experiment with custom subscriptions and usage-based pricing.

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1.8k stars137 forks0 contributors

What is Lotus?

Lotus is an open-source pricing and billing engine that enables SaaS companies to deploy, monitor, and experiment with custom subscriptions and complex models like usage-based pricing. It provides a flexible control panel to integrate data from multiple systems, helping businesses find optimal pricing schemes without significant engineering effort.

Target Audience

SaaS, PaaS, and IaaS companies looking to implement or scale complex pricing models, including usage-based billing, per-seat plans, and enterprise subscriptions.

Value Proposition

Developers choose Lotus for its extensible framework, powerful experimentation tools, and seamless integrations, which reduce the time and engineering cost of managing pricing infrastructure compared to building in-house solutions.

Overview

Open Source Pricing & Packaging Infrastructure

Use Cases

Best For

  • Implementing usage-based pricing for SaaS products
  • Managing and versioning complex subscription plans
  • Running A/B tests on pricing strategies
  • Integrating billing with existing payments and CRM systems
  • Reducing engineering time on pricing infrastructure
  • Experimenting with hybrid pricing models (e.g., usage + per-seat)

Not Ideal For

  • Businesses with simple, fixed pricing models that don't require complex subscription management
  • Teams needing a fully managed, cloud-hosted billing solution without self-hosting responsibilities
  • Companies requiring out-of-the-box, certified payment compliance (e.g., PCI-DSS) for direct processing
  • Projects with minimal DevOps resources to maintain a multi-technology stack

Pros & Cons

Pros

Extensible Pricing Framework

Supports usage-based, per-seat, and bespoke enterprise plans with a fully extensible framework, allowing custom schemes for any business model as described in the features.

Powerful Experimentation Tools

Includes backtesting, A/B testing, and forecasting to evaluate pricing changes on business outcomes, enabling data-driven experimentation cycles.

Flexible Integrations

Offers seamless integrations with existing payments and CRM systems, plus an expressive API for custom connections, reducing vendor lock-in.

Intuitive Plan Management

Simplifies subscription, plan versioning, and deployment tracking for engineering teams, as highlighted in the sensible plan management feature.

Cons

Self-Hosting Complexity

Currently only available as a self-hosted solution requiring Docker and maintenance of a complex stack (Postgres, Redis, microservices), increasing operational overhead.

Steep Initial Setup

The setup involves multiple technologies like React, Python, Go, and Celery, which can be daunting for teams without diverse technical expertise.

No Managed Cloud Option

Lack of a cloud-hosted version means teams must handle all infrastructure, monitoring, and scaling themselves, unlike SaaS alternatives.

Frequently Asked Questions

Quick Stats

Stars1,841
Forks137
Contributors0
Open Issues25
Last commit3 days ago
CreatedSince 2022

Tags

#open-source#api#monetization#python#typescript#postgresql#react-typescript#pricing#saas#django#self-hosted#subscription-management#analytics#billing

Built With

R
Redpanda
T
TimescaleDB
G
Go
D
Django
C
Celery
P
Python
R
Redis

Links & Resources

Website

Included in

Billing1.3k
Auto-fetched 1 day ago

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“In low-touch SaaS, the most common way packages are presented are as different columns in a pricing grid, with each column corresponding to a plan, offered at a different price, with differential access to features or maximum allowable usage along some axis interesting to the business.”

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