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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Phalcon is a comprehensive PHP framework that is uniquely delivered as a C-extension, setting a new standard for speed among PHP frameworks. Its groundbreaking design ensures that developers can harness its power without requiring any knowledge of C programming. The framework’s features are made accessible through PHP classes and interfaces that fall under the Phalcon namespace, making them readily usable. When the web server's daemon initializes, both Zephir and C extensions are loaded just once, allowing the classes and functions provided by the extension to be immediately available for application development. Since the code is pre-compiled for a specific platform and processor, there is no need for interpretation, which significantly enhances performance. Thanks to its efficient architecture and targeted optimizations, Phalcon achieves minimal overhead for applications based on the MVC design pattern. Developers can effortlessly create both single and multi-module applications with the familiar file structure, schemes, and patterns they already understand. The process of building REST servers and applications is streamlined, with the elimination of unnecessary boilerplate, resulting in simple services that can be encapsulated within a single file. Overall, Phalcon empowers developers to create high-performance applications with remarkable ease and efficiency.

Description

Developing machine learning applications should be effortless and seamless. UnionML is an open-source framework in Python that enhances Flyte™, streamlining the intricate landscape of ML tools into a cohesive interface. You can integrate your favorite tools with a straightforward, standardized API, allowing you to reduce the amount of boilerplate code you write and concentrate on what truly matters: the data and the models that derive insights from it. This framework facilitates the integration of a diverse array of tools and frameworks into a unified protocol for machine learning. By employing industry-standard techniques, you can create endpoints for data retrieval, model training, prediction serving, and more—all within a single comprehensive ML stack. As a result, data scientists, ML engineers, and MLOps professionals can collaborate effectively using UnionML apps, establishing a definitive reference point for understanding the behavior of your machine learning system. This collaborative approach fosters innovation and streamlines communication among team members, ultimately enhancing the overall efficiency and effectiveness of ML projects.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Algolia
Amazon Web Services (AWS)
C
Cloudflare
Crowdin
DigitalOcean
Files
Google Cloud Platform
HTML
JSON
Microsoft Azure
MongoDB
MySQL
PHP
PostgreSQL
Python
Redis
SQLite
memcached

Integrations

Algolia
Amazon Web Services (AWS)
C
Cloudflare
Crowdin
DigitalOcean
Files
Google Cloud Platform
HTML
JSON
Microsoft Azure
MongoDB
MySQL
PHP
PostgreSQL
Python
Redis
SQLite
memcached

Pricing Details

Free
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

Phalcon

Website

phalcon.io

Vendor Details

Company Name

Union

Founded

2021

Country

United States

Website

www.union.ai/unionml

Product Features

Product Features

Machine Learning

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

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