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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Machine Learning Tools
  5. cnvrg.io vs scikit-learn

cnvrg.io vs scikit-learn

OverviewComparisonAlternatives

Overview

scikit-learn
scikit-learn
Stacks1.3K
Followers1.1K
Votes45
GitHub Stars63.9K
Forks26.4K
cnvrg.io
cnvrg.io
Stacks11
Followers22
Votes0

scikit-learn vs cnvrg.io: What are the differences?

Developers describe scikit-learn as "Easy-to-use and general-purpose machine learning in Python". scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. On the other hand, cnvrg.io is detailed as "An end-to-end machine learning platform to build and deploy AI models at scale". It is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud.

scikit-learn and cnvrg.io can be categorized as "Machine Learning" tools.

scikit-learn is an open source tool with 41.5K GitHub stars and 20.1K GitHub forks. Here's a link to scikit-learn's open source repository on GitHub.

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Detailed Comparison

scikit-learn
scikit-learn
cnvrg.io
cnvrg.io

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

It is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud.

-
Machine Learning Pipelines; AI Library; Open Compute; Dataset Management; Machine Learning Tracking; Machine Learning Model Deployment; Scalable Streaming Endpoints
Statistics
GitHub Stars
63.9K
GitHub Stars
-
GitHub Forks
26.4K
GitHub Forks
-
Stacks
1.3K
Stacks
11
Followers
1.1K
Followers
22
Votes
45
Votes
0
Pros & Cons
Pros
  • 26
    Scientific computing
  • 19
    Easy
Cons
  • 2
    Limited
No community feedback yet
Integrations
No integrations available
Apache Spark
Apache Spark
PostgreSQL
PostgreSQL
Kubernetes
Kubernetes
Google BigQuery
Google BigQuery
Python
Python
Amazon S3
Amazon S3
MySQL
MySQL
Keras
Keras
Kafka
Kafka
Red Hat OpenShift
Red Hat OpenShift

What are some alternatives to scikit-learn, cnvrg.io?

Ubuntu

Ubuntu

Ubuntu is an ancient African word meaning ‘humanity to others’. It also means ‘I am what I am because of who we all are’. The Ubuntu operating system brings the spirit of Ubuntu to the world of computers.

Debian

Debian

Debian systems currently use the Linux kernel or the FreeBSD kernel. Linux is a piece of software started by Linus Torvalds and supported by thousands of programmers worldwide. FreeBSD is an operating system including a kernel and other software.

Arch Linux

Arch Linux

A lightweight and flexible Linux distribution that tries to Keep It Simple.

TensorFlow

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

Fedora

Fedora

Fedora is a Linux-based operating system that provides users with access to the latest free and open source software, in a stable, secure and easy to manage form. Fedora is the largest of many free software creations of the Fedora Project. Because of its predominance, the word "Fedora" is often used interchangeably to mean both the Fedora Project and the Fedora operating system.

Linux Mint

Linux Mint

The purpose of Linux Mint is to produce a modern, elegant and comfortable operating system which is both powerful and easy to use.

CentOS

CentOS

The CentOS Project is a community-driven free software effort focused on delivering a robust open source ecosystem. For users, we offer a consistent manageable platform that suits a wide variety of deployments. For open source communities, we offer a solid, predictable base to build upon, along with extensive resources to build, test, release, and maintain their code.

Linux

Linux

A clone of the operating system Unix, written from scratch by Linus Torvalds with assistance from a loosely-knit team of hackers across the Net. It aims towards POSIX and Single UNIX Specification compliance.

CoreOS

CoreOS

It is designed for security, consistency, and reliability. Instead of installing packages via yum or apt, it uses Linux containers to manage your services at a higher level of abstraction. A single service's code and all dependencies are packaged within a container that can be run on one or many machines.

PyTorch

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

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