Statements (56)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:software
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Perkin_Elmer_Informatics
|
| gptkbp:awards |
Innovation Award 2022
Best New Software 2021 |
| gptkbp:community_support |
active community
user forums frequent updates |
| gptkbp:developed_by |
gptkb:Signals
|
| gptkbp:features |
data visualization
real-time collaboration interactive coding |
| gptkbp:feedback |
surveys conducted
user feedback incorporated community suggestions considered |
| gptkbp:future_plans |
mobile app development
AI integration expanded features |
| gptkbp:has_documentation |
available online
|
| https://www.w3.org/2000/01/rdf-schema#label |
Signals Notebook
|
| gptkbp:integrates_with |
gptkb:Cloud_Computing_Service
data analysis tools machine learning frameworks |
| gptkbp:language |
gptkb:Library
|
| gptkbp:license |
MIT License
|
| gptkbp:market |
user-friendly interface
competitive pricing growing popularity |
| gptkbp:partnerships |
gptkb:Educational_Institution
tech companies data science organizations |
| gptkbp:performance |
low latency
high scalability |
| gptkbp:platform |
gptkb:website
|
| gptkbp:release_date |
2021-05-01
|
| gptkbp:repository |
gptkb:archive
|
| gptkbp:security_features |
user authentication
data encryption |
| gptkbp:supports |
gptkb:Jupyter_Notebooks
Markdown Python libraries |
| gptkbp:target_audience |
gptkb:University
gptkb:physicist data scientists |
| gptkbp:tutorials |
available online
video tutorials written guides |
| gptkbp:updates |
bug fixes
performance improvements regular feature enhancements |
| gptkbp:use_case |
data analysis
educational purposes research projects |
| gptkbp:user_interface |
customizable themes
web-based intuitive design |