Average Ratings 2 Ratings

Total
ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Dash & Dash Enterprise allow you to build and deploy analytic web applications using Python, R, or Julia. No JavaScript or DevOps are required. The world's most successful companies offer AI, ML and Python analytics at a fraction of the cost of full-stack development. Dash is the way they do it. Apps and dashboards that run advanced analytics such as NLP, forecasting and computer vision can be delivered. You can work in Python, R, or Julia. Reduce costs by migrating legacy per-seat license software to Dash Enterprise's unlimited end-user pricing model. You can deploy and update Dash apps faster without an IT or DevOps staff. You can create pixel-perfect web apps and dashboards without having to write any CSS. Kubernetes makes it easy to scale. High availability support for mission-critical Python apps

Description

All components of a URL, including scheme, user, password, host, port, path, query, and fragment, can be accessed through their respective properties. Every manipulation of a URL results in a newly generated URL object, and the strings provided to the constructor or modification functions are automatically encoded to yield a canonical format. While standard properties return percent-decoded values, the raw_ variants should be used to obtain encoded strings. A human-readable version of the URL can be accessed using the .human_repr() method. Binary wheels for yarl are available on PyPI for operating systems such as Linux, Windows, and MacOS. In cases where you wish to install yarl on different systems like Alpine Linux—which does not comply with manylinux standards due to the absence of glibc—you will need to compile the library from the source using the provided tarball. This process necessitates having a C compiler and the necessary Python headers installed on your machine. It is important to remember that the uncompiled, pure-Python version is significantly slower. Nevertheless, PyPy consistently employs a pure-Python implementation, thus remaining unaffected by performance variations. Additionally, this means that regardless of the environment, PyPy users can expect consistent behavior from the library.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
Comet Yes 
F# Yes 
Julia Yes 
Kedro Yes 
Lyftrondata Yes 
MATLAB Yes 
Make Yes 
NVIDIA RAPIDS Yes 
OpenMemory Yes 
R Yes 
Spotfire Yes 
Tableau Yes 
ThinkData Works Yes 
Voxel51 Yes 
Zepl Yes 
data.world Yes 
navio Yes 
neptune.ai Yes 
skills.ai Yes 

Integrations

Python Yes 
Comet No 
F# No 
Julia No 
Kedro No 
Lyftrondata No 
MATLAB No 
Make No 
NVIDIA RAPIDS No 
OpenMemory No 
R No 
Spotfire No 
Tableau No 
ThinkData Works No 
Voxel51 No 
Zepl No 
data.world No 
navio No 
neptune.ai No 
skills.ai No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Plotly

Founded

2013

Country

Canada

Website

plotly.com

Vendor Details

Company Name

Python Software Foundation

Country

United States

Website

pypi.org/project/yarl/

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Data Visualization

Analytics Yes 
Content Management No 
Dashboard Creation Yes 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models Yes 
Visual Discovery No 

Embedded Analytics

Ad hoc Query No 
Application Development No 
Benchmarking No 
Dashboard No 
Interactive Reports No 
Mobile Reporting No 
Multi-User Collaboration No 
Self Service Analytics No 
Streaming Analytics No 
Visual Workflow Management No 

Product Features

Alternatives

Juicebox Reviews

Juicebox

Juice Analytics

Alternatives

Highcharts Reviews

Highcharts

Highsoft
requests Reviews

requests

Python Software Foundation
websockets Reviews

websockets

Python Software Foundation