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

The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.

About

WebAssembly (abbreviated Wasm) is a binary instruction format for a stack-based virtual machine. Wasm is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications. The Wasm stack machine is designed to be encoded in a size- and load-time-efficient binary format. WebAssembly aims to execute at native speed by taking advantage of common hardware capabilities available on a wide range of platforms. WebAssembly describes a memory-safe, sandboxed execution environment that may even be implemented inside existing JavaScript virtual machines. When embedded in the web, WebAssembly will enforce the same-origin and permissions security policies of the browser. WebAssembly is designed to be pretty-printed in a textual format for debugging, testing, experimenting, optimizing, learning, teaching, and writing programs by hand. The textual format will be used when viewing the source of Wasm modules on the web.

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

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

Data scientists and machine learning engineers seeking a tool to optimize their natural language processing models with robust sentence embeddings

Audience

Developers

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

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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

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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

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

PyPI
Founded: 2003
United States
pypi.org

Company Information

Python
Founded: 1991
www.python.org

Company Information

Tensorflow
Founded: 2015
United States
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder

Company Information

WebAssembly
Founded: 2015
webassembly.org

Alternatives

Alternatives

Alternatives

word2vec

word2vec

Google

Alternatives

AssemblyScript

AssemblyScript

The AssemblyScript Project
yarl

yarl

Python Software Foundation
Modsurfer

Modsurfer

Dylibso
Exa

Exa

Exa.ai

Categories

Categories

Categories

Categories

Integrations

APIFuzzer
Anon
Arcade
Contrast Security
DataClarity Unlimited Analytics
DeerFlow
Dianahost
Gemini 2.5 Pro Preview (I/O Edition)
Gigasheet
OpenAI o3
Papr
RA.Aid
Sim Studio
Sparrow SAST
Squish
StackGen
Stenography
Visual Studio
pywinauto
skillsync

Integrations

APIFuzzer
Anon
Arcade
Contrast Security
DataClarity Unlimited Analytics
DeerFlow
Dianahost
Gemini 2.5 Pro Preview (I/O Edition)
Gigasheet
OpenAI o3
Papr
RA.Aid
Sim Studio
Sparrow SAST
Squish
StackGen
Stenography
Visual Studio
pywinauto
skillsync

Integrations

APIFuzzer
Anon
Arcade
Contrast Security
DataClarity Unlimited Analytics
DeerFlow
Dianahost
Gemini 2.5 Pro Preview (I/O Edition)
Gigasheet
OpenAI o3
Papr
RA.Aid
Sim Studio
Sparrow SAST
Squish
StackGen
Stenography
Visual Studio
pywinauto
skillsync

Integrations

APIFuzzer
Anon
Arcade
Contrast Security
DataClarity Unlimited Analytics
DeerFlow
Dianahost
Gemini 2.5 Pro Preview (I/O Edition)
Gigasheet
OpenAI o3
Papr
RA.Aid
Sim Studio
Sparrow SAST
Squish
StackGen
Stenography
Visual Studio
pywinauto
skillsync
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