Spark Streaming

Spark Streaming

Apache Software Foundation
+

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About

PyPI is the official repository for Python software packages, hosting hundreds of thousands of projects that developers can publish and users can discover and install. It supports both source distributions (“sdists”) and pre-built binary “wheels”, allowing packages to include native extensions for different platforms. Projects on PyPI consist of multiple releases, each of which can include various files for different operating systems or Python versions. Metadata for each package includes things like version number, dependencies, licensing, classifiers, description (including rendering Markdown or reStructuredText), and other information that tools like pip use to resolve, download, and install the correct package. PyPI provides search and filtering based on package metadata, letting users find what they need via keywords, compatibility, or other package attributes.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.

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

Python developers searching for a solution to publish, distribute, search for, and install software libraries and tools

Audience

Developers interested in a beautiful but advanced programming language

Audience

Real-Time Data Streaming solution for businesses

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

No information available.
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

PyPI
Founded: 2003
United States
pypi.org

Company Information

Python
Founded: 1991
www.python.org

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org/streaming/

Alternatives

Alternatives

Alternatives

ksqlDB

ksqlDB

Confluent
yarl

yarl

Python Software Foundation
Samza

Samza

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation

Categories

Categories

Categories

Integrations

AI21 Studio
CodeSonar
Codoki
DataOps.live
ELCA Smart Data Lake Builder
Google Earth Engine
L-Edit Photonics
Maqetta
NiceGUI
OpenAI Agents SDK
Polar Signals
ProxyMesh
Scale SERP
Selenium
SolarWinds Pingdom
Supacodes
Train in Data
Uptrace
YAG-Suite
Zama

Integrations

AI21 Studio
CodeSonar
Codoki
DataOps.live
ELCA Smart Data Lake Builder
Google Earth Engine
L-Edit Photonics
Maqetta
NiceGUI
OpenAI Agents SDK
Polar Signals
ProxyMesh
Scale SERP
Selenium
SolarWinds Pingdom
Supacodes
Train in Data
Uptrace
YAG-Suite
Zama

Integrations

AI21 Studio
CodeSonar
Codoki
DataOps.live
ELCA Smart Data Lake Builder
Google Earth Engine
L-Edit Photonics
Maqetta
NiceGUI
OpenAI Agents SDK
Polar Signals
ProxyMesh
Scale SERP
Selenium
SolarWinds Pingdom
Supacodes
Train in Data
Uptrace
YAG-Suite
Zama
Claim PyPI and update features and information
Claim PyPI and update features and information
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Claim Python and update features and information
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Claim Spark Streaming and update features and information