Plotly

Plotly, also known by its URL, Plot.ly,[1] is an online analytics and data visualization tool, headquartered in Montreal, Quebec. Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST. (https://en.wikipedia.org/wiki/Plotly)


References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. L. Capocchi, J.F. Santucci: A web-based simulation of discrete-event system of system with the mobile application DEVSimPy-mob (2021) not zbMATH
  2. Hubert Baniecki, Wojciech Kretowicz, Piotr Piatyszek, Jakub Wisniewski, Przemyslaw Biecek: dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python (2020) arXiv
  3. Adrien Leger; Tommaso Leonardi: pycoQC, interactive quality control for Oxford NanoporeSequencing (2019) not zbMATH
  4. Faruk Diblen, Jisk Attema, Rena Bakhshi, Sascha Caron, Luc Hendriks, Bob Stienen: spot: Open Source framework for scientific data repository and interactive visualization (2019) not zbMATH
  5. O. R. Bingol, A. Krishnamurthy: NURBS-Python: An open-source object-oriented NURBS modeling framework in Python (2019) not zbMATH
  6. Wheeler, D., Keller, T., DeWitt, S.J., Jokisaari, A.M., Schwen, D., Guyer, J.E., Aagesen, L.K., Heinonen, O.G., Tonks, M.R., Voorhees, P.W., Warren, J.A: PFHub: The Phase-Field Community Hub (2019) not zbMATH
  7. Pfenninger, S., Pickering, B: Calliope: a multi-scale energy systems modelling framework (2018) not zbMATH
  8. Amen, Saeed: Using Python to analyse financial markets (2017)
  9. Leon Thurner, Alexander Scheidler, Florian Schaefer, Jan-Hendrik Menke, Julian Dollichon, Friederike Meier, Steffen Meinecke, Martin Braun: Pandapower - an Open Source Python Tool for Convenient Modeling, Analysis and Optimization of Electric Power Systems (2017) arXiv
  10. Carugo, Oliviero (ed.); Eisenhaber, Frank (ed.): Data mining techniques for the life sciences (2016)
  11. Romain Gaillac; Pluton Pullumbi; François-Xavier Coudert: ELATE: An open-source online application for analysis and visualization of elastic tensors (2016) arXiv
  12. Duarte, Nubia E.; Giolo, Suely R.; Pereira, Alexandre C.; de Andrade, Mariza; Soler, Júlia P.: Using the theory of added-variable plot for linear mixed models to decompose genetic effects in family data (2014)
  13. Sorby, Sheryl; Casey, Beth; Veurink, Norma; Dulaney, Alana: The role of spatial training in improving spatial and calculus performance in engineering students (2013) MathEduc
  14. Smith, Christina D.; Johnson, Dallas E.: Comparing analyses of unbalanced split-plot experiments (2007)
  15. Johnson, George; Te Wu, Tai: Kabat database and its applications: 30 years after the first variability plot. (2000) ioport
  16. Seo, Han Son: A dynamic plot for the specification of curvature in linear regression (1999)
  17. Bryson, Maurice C.; Johnson, Mark E.: Constructing and simulating multivariate distributions using Khintchine’s theorem (1982)