Lambert Labs is a Python-focused development agency. We employ the brightest analytical minds to tackle challenging scientific problems.

Lambert Labs is a Python-focused development agency. We employ the brightest analytical minds to tackle challenging scientific problems.
We are experts at aggregating and cleaning data (text, images and videos) from websites, APIs and other sources.
We use Flask and Django to build custom solutions to fit your needs
We use the latest browser automation tools to to test systems and websites across multiple browsers and devices
Lambert Labs is essential to our business, having taken on responsibilities across our entire tech stack. In addition to the team being a pleasure to work with, they are incredibly diligent and knowledgable, always offering insightful, astute solutions. Highly recommended.
While creating our online degree program for Python developers, we received invaluable support from Lambert Labs in the form of expert consulting and the development of learning materials. Every team member was highly skilled and fully dedicated to their contribution, delivering work of excellent quality from both pedagogical and technical perspectives.
We employed George and the team to assist with automating parts of the unit testing for our clients at YouSoft and for internal training and they did a fantastic job – on time and within budget. Highly recommended.
We turned to Lambert Labs when we needed help with our data ingestion and ETL processes. Work was always completed professionally, and they helped make our data pipelines more efficient. George and his team really go above and beyond to ensure targets are met on time and I can wholeheartedly recommend them to anyone.
We have been working through our first project with Lambert Labs and I have been delighted with the progress achieved. When it comes to Python and Django, Lambert Labs know their stuff. They have designed and built the data core and learner management system to our latest product, Peasyread. The system looks good and works well. I chose them because they have good processes for testing and managing the software.