About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Xenomorph Integrates Python with TimeScape

Subscribe to our newsletter

Xenomorph has integrated the Python Open Source scripting language with its TimeScape cross-asset data management platform, allowing developers to take advantage of the language’s fast time to prototype, test and change ideas, as well as its integration with other programming languages including C and C++.

Python has been built into the application programming interface of TimeScape and is available immediately, giving developers access to validated gold copy data, real-time data and analytics that are managed in the platform.

Commenting on the integration of Python with TimeScape, Naj Alavi, managing director of Xenomorph for the Americas, says: Python is a powerful scripting language that is used by a number of Xenomorph’s clients in back-testing trading ideas and prototyping analytics. The integration of Python means gold copy data validated in TimeScape can be accessed in Python. Quants, risk managers, IT and operations staff all have their preferred ways and environments for working with data. Our aim is to open up the benefits of data management to all users and departments, encouraging greater data transparency, higher data quality and lower costs in data use and reuse.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...