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About

Clojure is a robust, practical, and fast programming language with a set of useful features that together form a simple, coherent, and powerful tool. Clojure is a dynamic, general-purpose programming language, combining the approachability and interactive development of a scripting language with an efficient and robust infrastructure for multithreaded programming. Clojure is a compiled language, yet remains completely dynamic, every feature supported by Clojure is supported at runtime. Clojure provides easy access to the Java frameworks, with optional type hints and type inference, to ensure that calls to Java can avoid reflection. Clojure is a dialect of Lisp, and shares with Lisp the code-as-data philosophy and a powerful macro system. Clojure is predominantly a functional programming language and features a rich set of immutable, persistent data structures. When a mutable state is needed, Clojure offers a software transactional memory system and reactive Agent system.

About

Common Lisp is the modern, multi-paradigm, high-performance, compiled, ANSI-standardized, most prominent (along with Scheme) descendant of the long-running family of Lisp programming languages. Common Lisp is known for being extremely flexible, having excellent support for object oriented programming, and fast prototyping capabilities. It also sports an extremely powerful macro system that allows you to tailor the language to your application, and a flexible run-time environment that allows modification and debugging of running applications (excellent for server-side development and long-running critical software). It is a multi-paradigm programming language that allows you to choose the approach and paradigm according to your application domain.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

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

Users looking for a solution to streamline and improve their interactive development process to build programs

Audience

Programmable Programming Language solution for DevOps teams

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

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

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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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

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

Clojure
clojure.org

Company Information

Common Lisp
common-lisp.net

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Racket

Racket

Racket Language

Alternatives

Gensim

Gensim

Radim Řehůřek
ML.NET

ML.NET

Microsoft
MLlib

MLlib

Apache Software Foundation
MXNet

MXNet

The Apache Software Foundation
ABAP

ABAP

SAP PRESS
Keepsake

Keepsake

Replicate

Categories

Categories

Categories

Integrations

ChatGPT
Codecov
DeepSeek R1
DeepSeek-V3
ERNIE Bot
ERNIE X1 Turbo
Gemini 2.5 Pro
Gemini 3 Deep Think
Gemma
Gemma 3
Grok 4 Heavy
Grok 4.1
Light Table
Mistral Large 2
ModelOp
NumPy
Qwen
Qwen2.5-1M
Spacemacs
Zed

Integrations

ChatGPT
Codecov
DeepSeek R1
DeepSeek-V3
ERNIE Bot
ERNIE X1 Turbo
Gemini 2.5 Pro
Gemini 3 Deep Think
Gemma
Gemma 3
Grok 4 Heavy
Grok 4.1
Light Table
Mistral Large 2
ModelOp
NumPy
Qwen
Qwen2.5-1M
Spacemacs
Zed

Integrations

ChatGPT
Codecov
DeepSeek R1
DeepSeek-V3
ERNIE Bot
ERNIE X1 Turbo
Gemini 2.5 Pro
Gemini 3 Deep Think
Gemma
Gemma 3
Grok 4 Heavy
Grok 4.1
Light Table
Mistral Large 2
ModelOp
NumPy
Qwen
Qwen2.5-1M
Spacemacs
Zed
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