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

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

The Case Against Ripping and Replacing: Why Capital Markets Firms Should Build Intelligence Into What They Already Have

By Neil Vernon, Chief Product Officer, Gresham. For years, capital markets firms have faced the same challenge: modernising sprawling, legacy data systems. Each attempt follows a familiar pattern – ambitious platform overhauls, eight-figure budgets, years of disruption – yet the old systems often remain in use long after the new ones are live. Replacing systems...

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...