l5kit VS datapane

Level 5 | Self-driving Research | Palo Alto, US & London, UK & Tokyo, Japan | Full-Time + Interns | Onsite (Hybrid - 2 days in p/w - currently closed)

Level 5 at Woven Planet develops real-time car automation solutions via applied Machine Learning and Computer Vision (SFM, SLAM, 3D Perception etc). The system is adding self-driving capabilities to vehicles with the end goal of providing autonomy features to all cars from the largest car company in the world, Toyota. For more information please read through https://www.self-driving-cars.org

The platform at Level 5 is written in Python & C++. We are an AWS environment with additional use of NumPy, PyTorch, GRPC, Kafka, Kubernetes, Terraform, SageMaker, Spark, Postgres & others. We work in a OneBox cloud environment with continuous deployment and are firm believers in the benefits of open source (https://github.com/woven-planet/l5kit). We apply multiple flavours of ML to petabytes of data; such as Deep Learning, Transformers, Neural Networks & Reinforcement Learning. If you are interested in applying Machine Learning (ML) to real world data - look no further. https://www.self-driving-cars.org/datasets

If you like the idea of working on some of the most challenging problems in applied computer science. We are looking for talent across Data, Computer Vision, Machine Learning, Infrastructure, Research - and of course Software Engineering. Please find our jobs at https://boards.greenhouse.io/l5

If you're looking for an easy way to build an HTML report using Python, you might find Datapane (https://github.com/datapane/datapane) helpful. I'm one of the people building it! We don't support polars (yet, on the roadmap) but we do support pandas so you can convert to a pandas DataFrame and include your data and any plots, etc.

If you're interested in an easier way to create reports using Python and Plotly/Pandas, you should check out our open-source library, Datapane: https://github.com/datapane/datapane - you can create a standalone, redistributable HTML file in a few lines of Python.

You might be interested in what we're hacking on at Datapane (I'm one of the founders): https://github.com/datapane/datapane.

You can create standalone HTML data reports from Python/Jupyter in ~3 lines of code: https://docs.datapane.com/reports/overview/

You can build web apps from Jupyter using Datapane [0]. I'm one of the founders, so let me know if I can help at all.

You can either export a static site [1] (and host on GH pages or S3), or, if you need backend logic, you can add Python functions [2] and serve on your favourite host (we use Fly).

We have specific Jupyter integration to automatically convert your notebook into an app [3].

[0] https://github.com/datapane/datapane

[1] https://docs.datapane.com/reference/reports/#datapane.proces...

[2] https://docs.datapane.com/apps/overview/

[3] https://docs.datapane.com/reports/jupyter-integration/#conve...

Our GitHub is https://github.com/datapane/datapane and you can get started here: https://docs.datapane.com/quickstart/

Thanks a lot! Yes, absolutely, a few people have brought this up and working working on removing the header right now. If I can help at all, feel free to reach us on GH Discussions: https://github.com/datapane/datapane/discussions