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What is SteelSync?

Is your Tech team feeling limited by the features of Linear? Discover SteelSync, the comprehensive solution designed to turn these challenges into improved operational productivity. Our cutting-edge tool enhances Linear's functionality by tackling common hurdles you face daily: Automated “Business” Interactions: Say goodbye to the tedious process of manually handling feature requests and bug reports. SteelSync streamlines these communications through automation, greatly reducing time spent and the likelihood of errors. Centralized Updates: Struggling to keep “the Business” and users outside of Linear informed? Our solution gathers updates in one place with monthly summaries, ensuring everyone receives the latest real-time information. Unified, Real-Time Board: Frustrated with managing various disconnected tools? Our all-inclusive public board integrates all your project management requirements, providing a cohesive and current overview. Streamlined Public Roadmaps: Effortlessly share future initiatives with stakeholders. SteelSync's public roadmap feature enhances transparency, making it simple to communicate important project milestones clearly. By integrating SteelSync into your workflow, you can radically change how your team collaborates and engages, resulting in a more productive and efficient operation. Embrace the future of project management with SteelSync today, and watch your team's potential soar.

What is DataMelt?

DataMelt, commonly referred to as "DMelt," is a versatile environment designed for numerical computations, data analysis, data mining, and computational statistics. It facilitates the plotting of functions and datasets in both 2D and 3D, enables statistical testing, and supports various forms of data analysis, numeric computations, and function minimization. Additionally, it is capable of solving linear and differential equations, and provides methods for symbolic, linear, and non-linear regression. The Java API included in DataMelt integrates neural network capabilities alongside various data manipulation techniques utilizing different algorithms. Furthermore, it offers support for symbolic computations through Octave/Matlab programming elements. As a computational environment based on a Java platform, DataMelt is compatible with multiple operating systems and supports various programming languages, distinguishing it from other statistical tools that often restrict users to a single language. This software uniquely combines Java, the most prevalent enterprise language globally, with popular data science scripting languages such as Jython (Python), Groovy, and JRuby, thereby enhancing its versatility and user accessibility. Consequently, DataMelt emerges as an essential tool for researchers and analysts seeking a comprehensive solution for complex data-driven tasks.

Media

No images available

Media

Integrations Supported

Integrations Supported

Apache NetBeans
Eclipse BIRT

API Availability

API Availability

Has API

Pricing Information

$19 per month

Pricing Information

$0
Access to full documentation (examples, Java API documentation, online manual) requires one-time membership payment (20$/user)
Free Version

Supported Platforms

SaaS

Supported Platforms

Android
Windows
Mac
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

SteelSync

Date Founded

2022

Company Location

United States

Company Website

www.steelsync.io

Company Facts

Organization Name

jWork.ORG

Date Founded

2005

Company Location

United States

Company Website

datamelt.org

Categories and Features

IT Project Management

Not specified

Categories and Features

Artificial Intelligence

For Healthcare
Image Recognition
Machine Learning
Natural Language Processing
Predictive Analytics

Data Analysis

Data Discovery
Data Visualization
Predictive Analytics
Regression Analysis
Statistical Modeling
Text Analytics

Data Mining

Data Extraction
Data Visualization
Machine Learning
Predictive Modeling
Statistical Analysis
Text Mining

Data Visualization

Analytics
Simulation Models
Visual Discovery

Deep Learning

Convolutional Neural Networks
Document Classification
ML Algorithm Library
Model Training
Self-Learning
Visualization

Education

Not specified

Neural Network

Not specified

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Simulation
Survival Analysis
Time Series
Visualization

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