Search Results for "web-based notebook"

JupyterLab is the next-generation web-based user interface for Project Jupyter. Try it on Binder. JupyterLab follows the Jupyter Community Guides. JupyterLab enables you to work with documents and activities such as Jupyter notebooks, text editors, terminals, and custom components in a flexible, integrated, and extensible manner. You can arrange multiple documents and activities side by side in the work area using tabs and splitters. Documents and activities integrate with each other,...

Gogs is a simple, stable, self-hosted Git service that is easy to install and setup. All you have to do is run the binary on any platform that Go supports: Linux, macOS and Windows. You may also install from source, from packages, or ship with Docker or Vagrant. Gogs is very lightweight with minimal hardware requirements, running on Raspberry Pi and even on NAS devices. Gogs offers plenty of great features, including various access repositories, repository and organization webhooks,...

Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text, and multimedia resources in a single document. For data scientists and machine learning engineers, Jupyter has emerged as a de facto standard. At the same time, there has been growing criticism that the way notebooks are being used leads to low resource utilization.

NoteBook FanControl (NBFC) is a cross-platform fan control service for notebooks. It comes with a powerful configuration system, which allows to adjust it to many different notebook models. Currently, there are no pre-built releases for Linux, but you can easily build NBFC yourself. In general the NBFC Wiki is the first place to go if you have any questions.

IHaskell is a kernel for the Jupyter project, which allows you to use Haskell inside Jupyter frontends (including the console and notebook). It currently supports GHC 8.0 through 9.0. For GHC 7.10 support please use the GHC7 tag. For a tour of some IHaskell features, check out the demo Notebook. More example notebooks are available on the wiki. The wiki also has more extensive documentation of IHaskell features. IHaskell is based upon the IPython architecture and frontend, so learning about that will help. ...

Personal notebook with google like search capabilities. This project is no longer active.