Related Products
|
||||||
About
PySpark is an interface for Apache Spark in Python. It not only allows you to write Spark applications using Python APIs, but also provides the PySpark shell for interactively analyzing your data in a distributed environment. PySpark supports most of Spark’s features such as Spark SQL, DataFrame, Streaming, MLlib (Machine Learning) and Spark Core. Spark SQL is a Spark module for structured data processing. It provides a programming abstraction called DataFrame and can also act as distributed SQL query engine. Running on top of Spark, the streaming feature in Apache Spark enables powerful interactive and analytical applications across both streaming and historical data, while inheriting Spark’s ease of use and fault tolerance characteristics.
|
About
With a three-dimensional view of your app's interface and the ability to change view properties at runtime, Spark can help you craft the best apps on earth. Wiring your app together with notifications? Spark's notification monitor shows you each NSNotification as it's sent, complete with a stack trace, a list of recipients and invoked methods, and more. Understand app structure at a glance and debug smarter. Connect your app to the Spark Inspector, and you'll see your app's interface front and center. As you interact with your app, the inspector updates in real-time! We monitor every change to your app's view hierarchy so you can always see what's going on. The view of your app you see in Spark isn't just beautiful, it's completely editable. You can modify almost every property of your views, from their class-level attributes to their CALayer transforms. When you make a modification, Spark invokes a method call within your app to directly modify that property.
|
|||||
Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
|
Platforms Supported
Windows
Not Supported
Mac
Supported
Linux
Not Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Supported
Android
Not Supported
Chromebook
Not Supported
|
|||||
Audience
Application development solution for DevOps teams
|
Audience
Developers seeking a runtime debugger solution to monitor and manage their applications
|
|||||
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
|
|||||
API
Offers API
Supported
|
API
Offers API
Not Supported
|
|||||
Screenshots and Videos |
Screenshots and Videos |
|||||
Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
|
Pricing
$49.99 one-time payment
Free Version
Not Supported
Free Trial
Supported
|
|||||
Reviews/
|
Reviews/
|
|||||
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
|
|||||
Company InformationPySpark
spark.apache.org/docs/latest/api/python/
|
Company InformationSpark Inspector
sparkinspector.com
|
|||||
Alternatives |
Alternatives |
|||||
|
|
||||||
|
|
|
|||||
|
|
||||||
Categories |
Categories |
|||||
Integrations
Amazon SageMaker Data Wrangler
Supported
Apache Spark
Supported
Comet LLM
Supported
Feast
Supported
Fosfor Decision Cloud
Supported
Tecton
Supported
Union Pandera
Supported
Xcode
Not Supported
|
Integrations
Amazon SageMaker Data Wrangler
Not Supported
Apache Spark
Not Supported
Comet LLM
Not Supported
Feast
Not Supported
Fosfor Decision Cloud
Not Supported
Tecton
Not Supported
Union Pandera
Not Supported
Xcode
Supported
|
|||||
|
|
|