Fathym simplifies cloud complexity by orchestrating cloud-native tools and services, and bringing together the exploding worlds of no-code and low-code with ‘high-code.’
Get started today with amazing biotech devices from:
All-in-one.
With Fathym you can get going with a full, best-practice, Azure cloud today – at the touch of a button.
You can do this through Fathym's SaaS Cloud for shared resources, or through our Enterprise Cloud – deployed into your Azure tenant for maximum access and control.
The Fathym platform is a composable application platform for delivering future-proof, enterprise-ready applications with Azure. Source Control via GitHub repositories. Build Pipelines via GitHub Actions.
You can choose a different source control, such as GitLab, Bit Bucket, Azure, or even ZIP files. You can choose a different build pipeline, such as Azure, Netlify, or Cloudflare.
Infrastructure as Code via Azure Bicep and ARM.
You can choose a different Infrastructure management tools, such as Terraform, Chef, Puppet or Ansible.
Low Code via Fathym’s Low Code Units.
These flexible containers are not just configurations like other “low code” offerings. They’re real code – in components.
Identity via Fathym’s Identity and Permission system integrated with Azure Active Directory.
Other integration options include Okta, Auth0, and others.
State Flow is a unique Fathym offering storing the “state” of applications, services, configurations and even user experiences.
Enterprise as Code graph database.
Enterprise as Code (EaC) is a directed graph database that is an all-in-one map to all the resources and services that make up your digital organization.
This dynamic graph stores cloud configurations, codebases, deployment pipelines, states, identities, digital assets, applications and more.
With Fathym’s EaC, out-of-the-box, an enterprise-scale cloud is configured, launched and maintained – ready for users of varying skills and backgrounds to easily create digital products and services.
From device to cloud in no time.
Flash your device's firmware and get connected to Fathym IoT Ensemble in just a few steps.
Fathym gives you hot, warm and cold database storage and API flows for processing device data and sending downstream.
Cold
Raw, long term data-storage and
access. Allows for deep learning,
AI, ML, and more.
Warm
Structured, time series data for
analytics, alerts, monitoring and
dashboards.
Hot
Flow real-time data from
your connected device using pub/sub
or WebSockets.
Launching data-driven apps has never been so easy.
Fathym gives you the out-of-the-box workflow to rapidly launch apps, dashboards or alerts from open-source templates.
Whether PowerBI dashboards or ML-powered web applications, launch apps at the click of a button or customize to fit your needs.
Use Fathym to version, deploy and host applications with GitHub or npm.
Get Started with Open Devices.
The number of open biotech devices available is increasing every day.
Visit these fine manufacturers and distributors to get yours and get started.
Emotibit
The EmotiBit is a small device that allows you to stream 16+ data streams from the body, including PPG, EDA/GSR, 9-axis IMU, and body temperature.
A compact, state-of-the-art, open hardware solution for home NIR-HEG biofeedback. Monitor Heart Rate Variability (HRV), breathing, and skin temperature.
Fathym’s EaC is a proprietary directed graph database that holds the map for how your applications, LCUs, digital assets, permissions, and users come together.
Low-Code Units (LCUs)
Fathym’s LCUs are the most basic building blocks of the Fathym world. These flexible containers can hold anything ranging from small bits of data to large applications.
Distributed File System (DFS)
Fathym’s DFS stores all the components, code, builds, and assets of your applications.
This system can span clouds and even cloud-edge architectures (for distributed applications like IoT).
State Flows
The current state of an application is made up of static and dynamic pieces, some user driven, some owner defined, some infrastructure driven.
From how microservices are defined and deployed to what a user inputs in a form, Fathym’s proprietary State Flows keeps it all working together.
Data-driven Apps
Spinning up cloud-native apps to make full use of your data has never been so easy.
Fathym Runtime
Our proprietary runtime brings all the pieces and services together. It conducts the orchestration of cloud-native services, making your enterprise and applications run seamlessly out of the parts.
The Fathym runtime powers the deployment, hosting and seamless integration of modular and distributed frontends and services as composable web projects.
Behind the scenes.
The future is what we want it to be.
Content
The growing world of data management
Enterprise as Code (EaC)
Fathym’s EaC is a proprietary directed graph database that holds the map for how your applications, LCUs, digital assets, permissions, and users come together.
Low-Code Units (LCUs)
Fathym’s LCUs are the most basic building blocks of the Fathym world. These flexible containers can hold anything ranging from small bits of data to large applications.
Distributed File System (DFS)
Fathym’s DFS stores all the components, code, builds, and assets of your applications.
This system can span clouds and even cloud-edge architectures (for distributed applications like IoT).
State Flows
The current state of an application is made up of static and dynamic pieces, some user driven, some owner defined, some infrastructure driven.
From how microservices are defined and deployed to what a user inputs in a form, Fathym’s proprietary State Flows keeps it all working together.
Data-driven Apps
Spinning up cloud-native apps to make full use of your data has never been so easy.
Fathym Runtime
Our proprietary runtime brings all the pieces and services together. It conducts the orchestration of cloud-native services, making your enterprise and applications run seamlessly out of the parts.
The Fathym runtime powers the deployment, hosting and seamless integration of modular and distributed frontends and services as composable web projects.
Turn Baserow data into
custom apps.
Baserow is an open-source no-code database tool and Airtable alternative that allows users to create their own PostreSQL database without technical expertise. If you can use a spreadsheet, you can use Baserow.
Baserow offers the flexibility to self-host your database, giving you autonomy and control over your data. As an alternative to spreadsheets, the real value in databases is in how they can power fully functional web applications. This is where Fathym comes in.
Fathym offers an automated launch pad to jumpstart development of custom apps powered by Baserow. The launch pad is a deployable package that consists of a frontend starting point for a Material UI React site and a pre-configured integration between Fathym and Baserow.
In addition to the launch pad, the Fathym platform gives users a streamlined development and CI/CD workflow to accelerate custom development and automate application deployment and hosting.
Check out the step by step tutorial on how to use the Baserow launch pad with Fathym.
Baserow offers docs on how to self host on a number of platforms.
At Fathym we go one step further: A LowCodeUnit (LCU) to launch Baserow on your own Azure cloud as an Azure Container Instance.
All you need to do is run a few commands on the Fathym CLI. To install the CLI, run this command in your IDE of choice:
npm i @fathym/cli@latest -g
Low-code meets AI.
Habistack is the most flexible, cloud-native API for delivering machine learning and statistics-based forecasts with any combination of variables.
Habistack brings together NOAA’s HRRR and GFS as a predictive weather forecast data stream with current conditions data from ground-based weather stations all over the US. Habistack incorporates into this model historical sensor data from current-conditions sensors, building a forecast-to-IoT sensor machine learning model.
This model becomes the basis for an AI/ML engine with the ability to predict IoT sensor readings from a wide variety of environmental (and other) sensors. This prediction capability, when combined with current sensor readings and recent and historic data, is a geospatial intelligence system that exposes the AI/ML model and data into micro-climate forecast APIs.
Habistack’s demo application is a surface-level, road-weather application. It uses infrared and temperature sensors on roads to predict the temperature of the road surface anywhere in the world. Combining this temperature prediction with known weather variables such as recent precipitation, it outputs a Road State variable.
Deploy the Baserow launch pad.
The Baserow launch pad can be deployed through Fathym in just a couple of clicks.
Three routes are deployed to a new project.
A landing page for Fathym and Baserow
A basic React frontend starting that can be used as the frontend of a Baserow-powered application
An API proxy to securely connect the Fathym project to a Baserow API
You are also free to import custom frontends to your project from GitHub or npm.
Integrate Fathym and Baserow.
The launch pad comes with a pre-configured integration between Fathym and Baserow (via API proxy) – whether Baserow's hosted SaaS or a self-hosted instance on Heroku, Docker, AWS, Azure or any other cloud.
To complete the integration, you simply have to generate and copy an API token in Baserow and add it to the security field of the Fathym API proxy. That's all there is to integrating Fathym and Baserow!
Assemble your app.
Baserow offers a large number of templates to easily input data as you would with a spreadsheet, whether for blog post management or HR applicant tracking.
With Fathym and Baserow integrated, you can assemble and deploy applications that retrieve and display the data populating fields in a Baserow database. As data is created, read, updated and deleted in Baserow, this is reflected in the data that is generated and displayed in your app.
And there you have it – an end-to-end workflow for launching Baserow-powered applications with Fathym. Fathym is an all-in-one solution for handling your Baserow app development needs – connecting frontends to Baserow databases and deploying and hosting applications.