Fitness Studio Management

Part of the worlds-biggest-software-project initiative.

An open, AI-native platform for class booking, membership billing, instructor scheduling, and retail — built for boutique studios that are tired of opaque pricing, multi-week onboarding, and vendor lock-in.

Fitness Studio Management is a candidate open-source platform for independent gyms, boutique studios, and multi-location operators. It unifies group class scheduling, recurring membership billing, member self-service, and in-studio retail in a single system, and applies AI to the operational decisions — capacity, retention, scheduling — that today require either expensive enterprise tiers or guesswork.

Why Fitness Studio Management?

Incumbents are expensive and opaque. Mindbody runs $139–$699+/month with a ~2.75% transaction fee on top; Glofox, Zingfit, Pike13, Wodify, TeamUp and Hapana all use undisclosed custom pricing, and Zen Planner's advertised $99/month routinely exceeds $447/month once add-ons are layered in.
Onboarding takes weeks. Setup complexity is a documented top reason studios abandon software, with Mindbody in particular drawing complaints about multi-week onboarding and a steep learning curve.
AI is gated to premium tiers — or absent. Only Hapana offers meaningful AI-driven churn scoring and engagement analytics; most platforms have no native capability at all, leaving smaller studios without access to retention intelligence.
Data is locked in. Studio owners cannot easily export or analyse their own data across the major platforms, and the only existing open-source entry — GYM One (MIT) — is rudimentary, with no mobile app, no analytics, and no marketing automation.
Mixed-model studios are underserved. Studios running both group classes and personal training routinely operate two systems because no incumbent handles both well in one unified scheduler.

Key Features

Scheduling & Booking

Group class scheduling with recurring templates, capacity limits, and exception handling
Waitlist management with automatic member promotion and notifications
Online booking via embeddable widget and mobile-friendly web app
Unified scheduler covering both group classes and personal training appointments
Seat/equipment-position selection booking for cycling, rowing, and similar formats (using non-trademarked terminology)

Membership, Billing & Retail

Recurring membership billing with automated failed-payment retry (dunning)
Customisable membership plan builder covering plans, pricing, and access rules
Member self-service portal for booking, cancellation, payment, and history
POS and basic retail inventory for in-studio sales and merchandise
PCI DSS compliant payment processing

Member Experience & Engagement

Attendance tracking with front desk, kiosk, and app-based check-in
Email and SMS notification automation for reminders, failed payments, and re-engagement
White-label or branded mobile app for iOS and Android
Hybrid digital/on-demand class delivery and virtual content library
Wearable and fitness device data ingestion

Operations & Analytics

Reporting dashboards covering revenue, attendance trends, and membership health
Staff scheduling, payroll reporting, and permission roles
Multi-location and franchise management with centralised reporting
Performance and workout tracking module with personal record boards

AI-Native Advantage

AI is applied to the operational decisions that drive studio economics: a churn-prediction model trained on attendance patterns surfaces at-risk members weeks before they cancel; a dynamic capacity engine adjusts class caps and waitlist promotions based on historical no-show rates and predicted demand; instructor assignments are correlated with fill rates, member ratings, and revenue to surface optimal scheduling and flag burnout risk. LLM-assisted programme design generates class templates adapted to studio niche, member progression data, and ACSM safety guidelines, while retail demand forecasting predicts merchandise and supplement stock from attendance trends.

Tech Stack & Deployment

The platform is designed to be self-hostable (mirroring the open-source posture of GYM One but with a modern feature set) as well as deployable as a managed cloud service. Integrations follow the open-API pattern adopted by Glofox, Hapana, Pike13, and TeamUp, with REST endpoints and webhooks for booking, payment, and membership events, plus connectors for Stripe, Zapier, QuickBooks, Mailchimp, and wearable/fitness data sources. Architecture targets ACSM Health/Fitness Facility Standards, IHRSA operational benchmarks, ADA accessibility requirements, and PCI DSS for payment handling.

Market Context

The fitness studio management software market was valued at approximately USD 1.5 billion in 2024 and is forecast to reach USD 3.5 billion by 2033 at a ~9.7% CAGR (Verified Market Reports); the broader gym management software segment is on track from USD 2.03 billion in 2025 to USD 4.02 billion by 2032 at 10.24% CAGR (Business Research Insights). Cloud-based platforms now account for roughly 57% of usage, North America holds over 40% market share, and the buyer base spans solo trainers and boutique operators (Vagaro, Pike13, TeamUp price points) through to franchise chains and enterprise multi-location brands (ClubReady, Mindbody, ABC Fitness/Glofox).

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Note: "Spot Scheduling®" is a registered trademark of Zingfit/Mariana Tek. Use neutral terminology such as "seat selection booking" or "equipment reservation" in any contributed code, UI copy, or documentation.

Licence

Licence to be determined. See discussion for context.