Plotly Dash

Plotly Dash

Plotly
python-sql

python-sql

Python Software Foundation

About

Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or DevOps required. Through Dash, the world's largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach. Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more. Work in the languages you love: Python, R, and Julia. Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise's open-core, unlimited end-user pricing model. Move faster by deploying and updating Dash apps without an IT or DevOps team. Create pixel-perfect dashboards & web apps, without writing any CSS. Scale effortlessly with Kubernetes. Support mission-critical Python applications with high availability.

About

Pygame is a set of Python modules designed for writing video games. Pygame adds functionality on top of the excellent SDL library. This allows you to create fully featured games and multimedia programs in the python language. Pygame is highly portable and runs on nearly every platform and operating system. Pygame is free. Released under the LGPL license, you can create open-source, freeware, shareware, and commercial games with it. With dual-core CPUs common, and 8-core CPUs cheaply available on desktop systems, making use of multi-core CPUs allows you to do more in your game. Selected pygame functions release the dreaded python GIL, which is something you can do from C code. Uses optimized C and assembly code for core functions. C code is often 10-20 times faster than python code, and assembly code can easily be 100x or more times faster than python code. Comes with many operating systems. Just an apt-get, emerge, pkg_add, or just install away.

About

python-sql is a library to write SQL queries in a pythonic way. Simple selects, select with where condition. Select with join or select with multiple joins. Select with group_by and select with output name. Select with order_by, or select with sub-select. Select on other schema and insert query with default values. Insert query with values, and insert query with query. Update query with values. Update query with where condition. Update query with from the list. Delete query with where condition, and delete query with sub-query. Provides limit style, qmark style, and numeric style.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data science teams

Audience

Developers in search of a solution to create fully featured games and multimedia programs

Audience

Developers searching for a solution offering a library to write SQL queries

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

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 4.5 / 5
ease 5.0 / 5
features 4.5 / 5
design 5.0 / 5
support 4.5 / 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:

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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 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

Training

Documentation
Webinars
Live Online
In Person

Company Information

Plotly
Founded: 2013
Canada
plotly.com

Company Information

pygame
www.pygame.org/wiki/about

Company Information

Python Software Foundation
United States
pypi.org/project/python-sql/

Company Information

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

Alternatives

Highcharts

Highcharts

Highsoft

Alternatives

Alternatives

Alternatives

Juicebox

Juicebox

Juice Analytics
Yellowfin

Yellowfin

Yellowfin, Inc
warcat

warcat

Python Software Foundation

Categories

Categories

Categories

Categories

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Integrations

Python
Anaconda
Comet
Domino Enterprise MLOps Platform
F#
FreeBSD
Lyftrondata
MATLAB
Make
NetBSD
OpenBSD
OpenMemory
Oracle Solaris
Spotfire
Tableau
ThinkData Works
Voxel51
data.world
neptune.ai
skills.ai

Integrations

Python
Anaconda
Comet
Domino Enterprise MLOps Platform
F#
FreeBSD
Lyftrondata
MATLAB
Make
NetBSD
OpenBSD
OpenMemory
Oracle Solaris
Spotfire
Tableau
ThinkData Works
Voxel51
data.world
neptune.ai
skills.ai

Integrations

Python
Anaconda
Comet
Domino Enterprise MLOps Platform
F#
FreeBSD
Lyftrondata
MATLAB
Make
NetBSD
OpenBSD
OpenMemory
Oracle Solaris
Spotfire
Tableau
ThinkData Works
Voxel51
data.world
neptune.ai
skills.ai

Integrations

Python
Anaconda
Comet
Domino Enterprise MLOps Platform
F#
FreeBSD
Lyftrondata
MATLAB
Make
NetBSD
OpenBSD
OpenMemory
Oracle Solaris
Spotfire
Tableau
ThinkData Works
Voxel51
data.world
neptune.ai
skills.ai
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