
CherryPy
Flask
Django
Bottle
web2py
Tornado
Pyramid Web Framework
BlueBream
UMA Vision
Condeco
Skedda
Joan
Condeco Desk Booking Software
Tribeloo
Condeco Visitor Management
GoBright Desk Booking System
AskUMA is an AI-powered workplace and smart building platform designed to help organisations manage hybrid work, optimise space, and make better decisions using real-time data. It brings together desk and room booking, visitor management, occupancy analytics, and workplace insights in a single, easy-to-use platform.
AskUMA integrates seamlessly with tools teams already use, including Microsoft 365, Google Workspace, Cisco Webex, Jabra, and other collaboration technologies, as well as a wide range of IoT sensors for occupancy, environmental and utilisation data. This allows organisations to understand how spaces are actually used and improve efficiency, employee experience, and sustainability.
Built for modern workplaces, AskUMA supports flexible working without adding friction. It helps workplace, IT and facilities teams reduce wasted space, improve planning, and create smarter, more responsive buildings.
CherryPy
UMA VisionUMA Vision's answer:
UMA Vision is unique because it turns raw workplace data into actionable insights by combining real-time sensor information, collaboration platform integrations, and AI-driven analytics in one unified workspace platform. Instead of treating space, schedules, and people as separate silos, UMA Vision connects them ingesting data from IoT sensors, calendars, Microsoft 365, Google Workspace, Cisco Webex and devices like Jabra to provide a holistic, real-time view of how spaces are actually used.
What sets UMA Vision apart is its focus on meaningful outcomes rather than isolated features. It doesnโt just show utilisation metrics; it helps workplace and facilities teams understand patterns, forecast demands, and make smarter decisions about space planning, hybrid working, employee experience and resource allocation. With intuitive dashboards, AI forecasting, and seamless integrations, UMA Vision bridges the gap between operational data and strategic insight, empowering organisations to optimise buildings, reduce waste, and enhance the way people work.
UMA Vision's answer:
People choose UMA Vision because it goes beyond reporting to actively connect, understand and optimise the workplace in real time.
Deep, native integrations UMA Vision connects directly with tools organisations already use, including Microsoft 365, Google Workspace, Cisco Webex, Jabra and collaboration devices, combining calendar, meeting and presence data into a single, accurate view of workplace activity.
From insight to interaction Unlike many competitors that only report on data, UMA Vision integrates with building management systems (BMS) and IoT infrastructure, allowing organisations not just to observe spaces, but to interact with them including lighting, environmental controls and occupancy-driven automation.
Sensor-led, not assumption-led UMA Vision uses real-time occupancy and environmental sensors to show how spaces are actually used, reducing reliance on manual check-ins, badge data or assumptions.
One platform, not disconnected tools Instead of stitching together multiple systems for booking, analytics, sensors and building controls, UMA Vision brings them together in a single platform designed for workplace, IT and facilities teams.
Built for action, not dashboards With AI-driven insights and forecasting, UMA Vision helps organisations make practical decisions around space optimisation, hybrid working, energy efficiency and employee experience not just view static reports.
UMA Vision's answer:
UMA Vision is designed for organisations managing modern, hybrid workplaces that need accurate, real-time insight into how their buildings and spaces are used.
Its primary audience includes:
Workplace and real estate teams responsible for space planning, utilisation and hybrid work strategy
Facilities and building managers who need visibility into occupancy, environmental conditions and building performance
IT and digital workplace teams managing integrations with Microsoft 365, Google Workspace, collaboration tools and workplace technology
Enterprise organisations and multi-site businesses looking to optimise space, reduce waste and improve operational efficiency
Organisations with smart buildings or IoT investments that want to move from passive reporting to active, data-driven building optimisation
UMA Vision's answer:
UMA Vision began with a simple insight: finding and managing meeting rooms shouldnโt be hard. In 2017, CTO and Founder Stephen Milner recognised a common workplace problem the frustration of locating and booking meeting space and set out to solve it. What started as a voice-activated assistant evolved over time into what is now UMA Vision, a comprehensive AI-powered workplace and smart building platform that addresses the broader challenges of hybrid working, space optimisation, and real-time building intelligence.
As workplaces shifted towards hybrid models, UMA Vision expanded beyond basic booking to integrate desk and room scheduling, visitor management, space analytics, IoT sensor data and advanced integrations with tools like Microsoft 365, Google Workspace, Cisco Webex, Jabra and more, enabling organisations to turn data into meaningful decisions about how spaces are used.
Unlike standalone booking or analytics tools, UMA Vision was built to be an open, connected platform that works with existing technology stacks and smart building systems including building management systems (BMS) to not only report on occupancy and utilisation but also support automation, energy efficiency and operational responsiveness. This evolution reflects UMAโs commitment to helping organisations make hybrid workplaces smarter, more efficient and user-centric.
UMA Vision's answer:
UMA Vision is built on a modern, data-centric technology stack that brings together AI, real-time integrations, IoT and open protocols to power smart workplaces and buildings.
Cloud-native analytics & AI โ UMA Vision uses advanced analytics and artificial intelligence to process data from multiple sources, provide forecasting, space-utilisation insights and actionable intelligence across the workspace.
API-driven integrations โ It connects with key enterprise software such as Microsoft 365, Google Workspace, Cisco Webex, Jabra and other collaboration tools, enabling unified calendars, presence data and smart scheduling.
IoT sensor ecosystem โ UMA Vision ingests real-time sensor data from a wide range of devices (occupancy, environmental, energy, air quality, sound, etc.), using protocols like LoRaWAN, Modbus, BACnet, MQTT and EnOcean to bring building systems into one platform.
Real-time building interaction โ The platform integrates with existing building management systems (BMS) and automation layers, enabling not just reporting but interactive control of lighting, HVAC and other building functions.
Interactive mapping & visualisation โ Intelligent 2D/3D floor plans and dashboards visualise occupancy, bookings and environmental conditions, providing intuitive spatial insights for workplace and facilities teams.
Secure, open platform design โ UMA Visionโs open architecture and APIs make it extensible, allowing enterprises to leverage existing infrastructure and future integrations without vendor lock-in.
UMA Vision's answer:
Premier League Football Club โ a top-tier professional sports organisation using UMA Vision for hybrid workplace planning and space integration.
NHS Mid Yorkshire Hospitals Trust โ part of the UK National Health Service using real-time occupancy sensors and insights to improve space utilisation across its estate.
Alzheimerโs Research (Los Angeles) โ a research organisation with interactive floor maps and flexible workplace management powered by UMA Vision.
London & Partners โ the promotional organisation for the UK capital, using UMA Vision for hot-desking and utilisation reporting following relocation.
BHP Chartered Accountants โ a large independent firm of chartered accountants in the North of England using UMA Vision to manage hot-desking and improve meeting room workflows.
Other organisations that use UMA Vision include:
Multi-national financial services firms โ enterprise buyers leveraging space analytics and hybrid work scheduling.
Premier League football teams (beyond the one named case study) โ sports sector clients seeking hybrid workplace optimisation.
Small charities and not-for-profit organisations โ adopting the platform for cost-effective space planning and insights.
Weโve been using UMA Vision to better understand how our workspace is actually being used, and itโs made a real difference. The platform gives clear, actionable insights without overwhelming you with data, which makes it easy to turn usage patterns into practical decisions.
What stood out most was how quickly we were able to get value from it. The dashboards are intuitive, reporting is straightforward, and the data helped us identify opportunities to improve space efficiency and support hybrid work more effectively. Itโs been especially useful for planning and justifying changes with real evidence rather than assumptions.
Overall, UMA Vision feels like a mature, well-thought-out product thatโs built for real operational use, not just analytics for analyticsโ sake.
UMA Vision is thoughtfully designed and easy to get value from quickly. The interface is clean, the workflows make sense, and the team behind it is responsive and clearly cares about product quality. Itโs refreshing to work with a tool thatโs evolving fast while staying focused on real customer needs.
Based on our record, CherryPy seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Generally, what needs to be done to create an Django/Electron app is to package (I'm using pyInstaller)the Django app into an stand-alone executable and then bundle that into an Electron app. The question is which server should be used for this case to server Django before packaging it with pyInstaller? At the moment I'm using cherryPy as a WSGI web server to serve Django. Source: over 4 years ago
I know there are plenty of questions about Flask and CherryPy and static files but I still can't seem to get this working. Source: over 4 years ago
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