+

Related Products

  • Highcharts
    123 Ratings
    Visit Website
  • TinyPNG
    46 Ratings
    Visit Website
  • Windsurf Editor
    148 Ratings
    Visit Website
  • JOpt.TourOptimizer
    8 Ratings
    Visit Website
  • DashboardFox
    5 Ratings
    Visit Website
  • gPanel
    60 Ratings
    Visit Website
  • SciSure
    294 Ratings
    Visit Website
  • Docmosis
    48 Ratings
    Visit Website
  • TradingView Stock Widgets
    16 Ratings
    Visit Website
  • Hostinger
    56,462 Ratings
    Visit Website

About

Bokeh makes it simple to create common plots, but also can handle custom or specialized use-cases. Plots, dashboards, and apps can be published in web pages or Jupyter notebooks. Python has an incredible ecosystem of powerful analytics tools: NumPy, Scipy, Pandas, Dask, Scikit-Learn, OpenCV, and more. With a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks, the Bokeh server is the bridge that lets you connect these tools to rich, interactive visualizations in the browser. Microscopium is a project maintained by researchers at Monash University. It allows researchers to discover new gene or drug functions by exploring large image datasets with Bokeh’s interactive tools. Panel is a tool for polished data presentation that utilizes the Bokeh server. It is created and supported by Anaconda. Panel makes it simple to create custom interactive web apps and dashboards by connecting user-defined widgets to plots, images, tables, or text.

About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

DevOps teams searching for a visualization library solution

Audience

Component Library solution for DevOps teams

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Bokeh
bokeh.org

Company Information

NumPy
numpy.org

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

Alternatives

Alternatives

h5py

h5py

HDF5
Plotly Dash

Plotly Dash

Plotly
Focos

Focos

Bending Spoons Apps

Categories

Categories

Categories

Integrations

3LC
Avanzai
Coiled
Cython
Dash
Flower
Google Maps
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
Train in Data
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

Integrations

3LC
Avanzai
Coiled
Cython
Dash
Flower
Google Maps
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
Train in Data
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn

Integrations

3LC
Avanzai
Coiled
Cython
Dash
Flower
Google Maps
JAX
MPI for Python (mpi4py)
NVIDIA FLARE
PaizaCloud
PyCharm
Train in Data
Unify AI
Visual Studio Code
Yamak.ai
Yandex Data Proc
h5py
imageio
scikit-learn
Claim Bokeh and update features and information
Claim Bokeh and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information
Claim statsmodels and update features and information
Claim statsmodels and update features and information