Filament is a data science notebook that helps teams explore, visualise, and extract insights from data.Start Free Trial
A collaborative notebook for the whole team
Designed for data-driven teams, Filament combines a powerful interactive coding environment with an intuitive WYSIWYG text editor.
With real-time collaborative editing of text and code, whether you’re a data scientist, a marketing executive or a researcher, everyone can work on the same page, at the same time.
Ready for remote teams
Start analysing your data in seconds with Filament’s zero-setup environment.
The cloud-native platform is built for remote working; access your data and analysis from anywhere, on any device.
Avoid downloading data to insecure devices by analysing your sensitive data in our secure cloud environment.
Built on open source
Filament provides Python-based data analysis, and is ready to go with all your favourite libraries, including: Pandas, Numpy, SciPy, Matplotlib, Scikit-Learn + more.
No vendor lock in, import your .ipynb notebook files and export your analysis as Markdown documents or Jupyter notebooks.
Create instant impact
Use Filament to share your work in a way everyone can understand.
Filament gives your work instant impact by enabling you to publish your analysis, plus commentary, in the same document. The unique integration of code, data, and context, empowers non-technical colleagues to make data-driven decisions.
Fine-grained access control means you can share your data analysis with an individual colleague, your whole organisation, or the entire Internet.
Frequently Asked Questions
What programming languages does Filament support?
What Python packages are available to me?
Our standard environment comes pre-installed with Pandas, Numpy, SciPy, Matplotlib, Scikit-Learn and lots more. If the package you need isn’t available, you can simply `pip install` from inside a Filament page.
Can I import my existing iPython notebooks (.ipynb)?
Can I export from Filament to iPython / Jupyter notebook (.ipynb) format?
What version of Python can I use?
Can users select different types of compute resources?
Do you offer support?
For any other enquiries you can contact us at email@example.com