About a-team Marketing Services
The knowledge platform for the financial technology industry
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: How to simplify and modernize data architecture to unleash data value and innovation

The data needs of financial institutions are growing at pace as new formats and greater volumes of information are integrated into their systems. With this has come greater complexity in managing and governing that data, amplifying pain points along data pipelines. In response, innovative new streamlined and flexible architectures have emerged that can absorb and...

BLOG

Centralised Data Management Key to AI Success: Webinar Review

The absence of a centralised data management strategy for artificial intelligence is the biggest hurdle to integrating data from different sources for use with the technology. That was the finding of a survey of capital markets participants at a recent A-Team LIVE webinar “How to Organise, Integrate, and Structure Data for Successful AI”. While expert...

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: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...