Iris AI
Enago Read
ScienceBox
FirstIgnite
Receptiviti
genei.io
arc.io
Narrative Science
nbviewer.org
Observable
Jupyter
RunKit
Binder
Antconc
GitHub & BitBucket HTML Preview
Tableau
The Iris.ai Researcher Workspace is a flexible tool suite that allows all researchers - without a necessary AI background knowledge - to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.
The Iris.ai Researcher Workspace can service numerous research use cases, from knowledge processing in R&D, systematic literature reviews and IP analysis to automated post-market surveillance or pharmacovigilance. Let AI take over all those tedious tasks so our best and brightest can focus on the tasks that really matter and improve our lives.
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Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
Enago Read - All In One AI-Powered Reading Assistant. A Reading Space to Ideate, Create Knowledge and Collaborate on Research
Observable - Interactive code examples/posts
ScienceBox - Simple data science collaboration & productivity on the web
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
FirstIgnite - Matching scientific research to business needs
RunKit - RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.