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What is OpenTofu?

OpenTofu represents a fork of Terraform, launched by a consortium of companies such as Gruntwork, Spacelift, Harness, Env0, and Scalr, in response to HashiCorp's shift from an open-source license to the Business Source License (BUSL). This initiative has attracted substantial support from a diverse array of stakeholders. From a technical standpoint, OpenTofu 1.6.x is quite similar to Terraform 1.6.x in terms of features, yet the two projects are anticipated to diverge over time. A notable difference is that OpenTofu functions as an open-source project, which seeks to promote collaborative development without being under the control of a single organization. While companies may encounter difficulties when making the switch to a new platform, the risks associated with staying on a project that alters its licensing unexpectedly can be even greater. Transitioning to OpenTofu is further supported by its transfer to the Linux Foundation, which helps reduce the risks involved, and its promise to retain feature parity with Terraform in future updates serves to lessen any potential technical complications. This collaborative framework not only boosts transparency but also encourages wider community participation in the continuous evolution of OpenTofu. Ultimately, the movement towards OpenTofu signifies a broader push for more democratic and open development practices in software within the industry.

What is ClearML?

ClearML stands as a versatile open-source MLOps platform, streamlining the workflows of data scientists, machine learning engineers, and DevOps professionals by facilitating the creation, orchestration, and automation of machine learning processes on a large scale. Its cohesive and seamless end-to-end MLOps Suite empowers both users and clients to focus on crafting machine learning code while automating their operational workflows. Over 1,300 enterprises leverage ClearML to establish a highly reproducible framework for managing the entire lifecycle of AI models, encompassing everything from the discovery of product features to the deployment and monitoring of models in production. Users have the flexibility to utilize all available modules to form a comprehensive ecosystem or integrate their existing tools for immediate use. With trust from over 150,000 data scientists, data engineers, and machine learning engineers at Fortune 500 companies, innovative startups, and enterprises around the globe, ClearML is positioned as a leading solution in the MLOps landscape. The platform’s adaptability and extensive user base reflect its effectiveness in enhancing productivity and fostering innovation in machine learning initiatives.

Media

Media

Integrations Supported

Brainboard
ClouDNS
Kubernetes
Massdriver
Spacelift

Integrations Supported

Brainboard
ClouDNS
Kubernetes
Massdriver
Spacelift

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$15
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenTofu

Company Website

opentofu.org

Company Facts

Organization Name

ClearML

Date Founded

2016

Company Location

Israel

Company Website

clear.ml/

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Virtual Machine

Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server

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