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Average Ratings 0 Ratings

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ease
features
design
support

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Description

The SensiML Analytics Toolkit enables the swift development of smart IoT sensor devices while simplifying the complexities of data science. It focuses on creating compact algorithms designed to run on small IoT endpoints instead of relying on cloud processing. By gathering precise, traceable, and version-controlled datasets, it enhances data integrity. The toolkit employs advanced AutoML code generation to facilitate the rapid creation of autonomous device code. Users can select their preferred interface and level of AI expertise while maintaining full oversight of all algorithm components. It also supports the development of edge tuning models that adapt behavior based on incoming data over time. The SensiML Analytics Toolkit automates every step necessary for crafting optimized AI recognition code for IoT sensors. Utilizing an expanding library of sophisticated machine learning and AI algorithms, the overall workflow produces code capable of learning from new data, whether during development or after deployment. Moreover, non-invasive applications for rapid disease screening that intelligently classify multiple bio-sensing inputs serve as essential tools for aiding healthcare decision-making processes. This capability positions the toolkit as an invaluable resource in both tech and healthcare sectors.

Description

TinyOS is a freely available operating system under the BSD license, specifically crafted for energy-efficient wireless devices that are utilized in various applications like sensor networks, ubiquitous computing, personal area networks, smart buildings, and smart meters. Its development and support come from a global community comprised of both academic and industrial contributors, with an impressive average of 35,000 downloads annually. Recently, the transition to GitHub for hosting has been finalized, which involves gradually phasing out the existing TinyOS development mailing lists for bug tracking and issues, in favor of utilizing GitHub's tracking system. We extend our gratitude to all the dedicated developers who are actively enhancing TinyOS and facilitating pull requests for improvements, thereby fostering a collaborative development environment that benefits all users. This evolution signifies a major step forward in streamlining communication and collaboration within the TinyOS community.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

SensiML

Founded

2017

Country

United States

Website

sensiml.com

Vendor Details

Company Name

TinyOS

Website

www.tinyos.net

Product Features

Machine Learning

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

Product Features

Alternatives

Alternatives

ML.NET Reviews

ML.NET

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