The modern model platform for complex, critical models and calculations.
TRAC is a universal model orchestration solution for managing the most complex, critical and highly governed workflows. It combines your existing data and compute infrastructure, model development environments and the repository of versioned code, to create a single ecosystem in which to build and deploy models, orchestrate complex workflows and run analytics.
TRAC is designed to break the trade-off that has traditionally been required, between flexible (but uncontrolled) analytics solutions and highly controlled (but inflexible) production model platforms. It offers best of both worlds, power, control and analytical flexibility.
TRAC D.A.P. is the open-source data & analytics toolkit which provides the core capabilities of TRAC. It is maintained by finTRAC Limited in association with FINOS and is available to download and use for free under the Apache License, Version 2.0.
Documentation for TRAC D.A.P. is available at tracdap.finos.org.
The following packages are available:
| Package | Description |
|---|---|
| Model runtime for Python | Build models and test them in a sandbox, ready to deploy to the platform |
| Web API package | Build client apps in JavaScript or TypeScript using the TRAC platform APIs |
| Platform releases | Packages for the platform services and a standalone sandbox are published with each release on GitHub |
Commercially supported deployments of TRAC are available separately from finTRAC Limited.
The current release series (0.7) contains the core capabilities needed to build and run models, both for local development and in a hosted environment. It also contains the platform services and APIs needed to build client applications and system-to-system integrations.
Metadata compatibility is guaranteed within each release series (e.g. 0.7.x). Minor changes may occur between release series, mostly for internal structures and removal of deprecated APIs. The metadata model will be frozen at version 1.0 after which it may be added to but no fields will be removed or change. Configuration formats are subject to change between versions and extension (plugin) APIs should be considered internal for the time being.
For more information see the development roadmap.
With TRAC D.A.P. you can build and run production-ready models right on your desktop! All you need is an IDE, Python and the tracdap-runtime Python package. TRAC D.A.P. requires Python 3.8 or later.
The modelling tutorial shows you how to get set up and write your first models. You can write models locally using an IDE or notebook, once the model is working t can be loaded to the platform without modification. TRAC D.A.P. will validate the model and ensure it behaves the same on-platform as it does locally. Of course, the production platform will allow for significantly greater data volumes and compute power!
A full listing of the modelling API is available in the model API reference.
TRAC D.A.P. is designed for easy installation in complex and controlled enterprise environments. The tracdap-platform package is available with each release on our release page and includes a pre-built distribution of each of the platform services and supporting tools, suitable for deploying in a container or on physical or virtual infrastructure. All the packages are platform-agnostic.
A sandbox version of the platform is also available for quick setup in development, testing and demo scenarios. The tracdap-sandbox package is available with each release on our release page and instructions are available in the sandbox quick start guide in our documentation.
We have used the excellent tools from JetBrains to build TRAC D.A.P. After you fork and clone the repository you can open the project in IntelliJ IDEA and use the script dev/ide/copy_settings.sh (Linux/macOS) or dev\ide\copy_settings.bat (Windows) to set up some helpful IDE config, including modules for the non-Java components, run configurations, license templates etc. If you prefer another IDE that is also fine, you may wish to set up a similar set of config in which case we would welcome a PR.
If you need help getting set up to develop features for TRAC D.A.P., please get in touch!
- Fork it (https://github.com/finos/tracdap/fork)
- Create your feature branch (
git checkout -b feature/fooBar) - Read our contribution guidelines and Community Code of Conduct
- Commit your changes (
git commit -am 'Add some fooBar') - Push to the branch (
git push origin feature/fooBar) - Create a new Pull Request
NOTE: Commits and pull requests to FINOS repositories will only be accepted from those contributors with an active, executed Individual Contributor License Agreement (ICLA) with FINOS OR who are covered under an existing and active Corporate Contribution License Agreement (CCLA) executed with FINOS. Commits from individuals not covered under an ICLA or CCLA will be flagged and blocked by the FINOS Clabot tool (or EasyCLA). Please note that some CCLAs require individuals/employees to be explicitly named on the CCLA.
Need an ICLA? Unsure if you are covered under an existing CCLA? Email [email protected]
This product is maintained by finTRAC (https://fintrac.co.uk/) in association with the Fintech Open Source Foundation (https://www.finos.org/) and distributed under the terms of the Apache License, Version 2.0.
SPDX-License-Identifier: Apache-2.0
For more information including copyright history, see the NOTICE file.