Modesto  Corwin

Modesto Corwin


Module Federation for Plugins || Module Federation Tutorial: Live

Let’s use Module Federation to create an extensible Dockerized express server!

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Plugin template:
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Module Federation for Plugins || Module Federation Tutorial: Live
Alex  Sam

Alex Sam


Top Chat Software for Live Streaming & Broadcasting Web & Mobile Apps

Do you Increase your Website Engagment? 

I analysed, ranked and reviewed best live video streaming chat APIs and SDKs for your web & mobile app based on client reviews and ratings. portfolio, usecases, cost, secure streaming, live chat features, cost, support, etc.

Turn your viewers into participatients with Live Streaming Chat Solutions. There are lot of Real-time chat apis & SDks Providers have in online market now. You can easily integrte and customize real time chat solutions into your new or existing live video streaming web and iOS & android applications. Below have mentioned best real time chat api & SDk Proivders.

Live video streaming chat api
Live video streaming chat apis

Here are The Most Popular Live Video Streaming Chat APIs & SDKs to be Considered for your Mobile App

1. CONTUS Fly - Real-time Messaging Platform for Live Streaming Apps & Webs

CONTUS Fly is one of the leading real time messaging software providers in the market for a decade. Their messaging platforms are completely customizable since they provide Chat APIs and SDKs to integrate real time chat feasibility on your live streaming applications irrespective of audience base. Engage your audience like a live concert, stadium like experience through digitally. Create channels for every live streaming event, sports or anything that would create buzz. Enable audience to interact with each other over voice, video chats and real-time text chats with engaging emojis. CONTUS Fly enables users to add emojis and stickers to captivate each audience and create fun.

Highlight Features of CONTUS Fly Live Video Streaming Platform Includes:

  1. Chat for Live Video Streaming
  2. Video & Audio Recording
  3. Video Calling
  4. Drawing whitebord
  5. Screen Sharing
  6. End to End Encryption

2. Apphitect -Instant chat for Live Streaming Platforms

To make every live streaming and broadcasting videos more engaging and entertaining, Apphitect’s instant messaging comes with exciting Instant messaging chat APIs to add chat into streaming applications. Apphitect is built with multiple real time communication features like video chat, voice chat and real-time chat to your streaming apps. Their solution surprisingly has a wide range of features to communicate, engage and increase subscription benefits.

Highlight Features of Apphitect Live Insterative Broadcasting Software Includes:

  1. Live Video Streaming Chat
  2. Cross Platform Support
  3. Audio & Video Recording
  4. Live Video Calling
  5. Emoji & Stickers

3. MirrorFly - Enterprise Real Time Chat for Streaming Websites

One of the enterprise-grade real-time chat solutions built to create virtual chat experience for live streaming events and websites for big brands and startups. Irrespective of audience base, category, MirrorFly provides customizable real time chat APIs to add virtual communication mediums on live streaming and broadcasting applications. Their solution comes with absolute moderation tools and open channels to talk and listen with your audience. MirrorFly’s server infrastructure has the potential to handle concurrent messages and users and to achieve maximum sales conversion.

Highlight Features of MirrorFly Live Streaming Chat API Includes:

  1. Face to Face Video Calling
  2. Live Interactive Broadcasting
  3. Call Recording
  4. Digital Whiteboard
  5. Group Video Calling

4. Applozic - Real-time Chat Plugin for Live Broadcasting & Video Streaming apps

When it comes to building a live streaming chat app software that covers the entire platforms and demand All-in-One package (features, Customization to any extent) with a one-time payment for lifetime performance, then undoubtedly Contus Fly makes the right choice to partner with. The company offers live broadcasting SDK for Android/iOS and chat APIs for customization.

Highlight Features of Applozic Chat Live Streaming Platform Includes:

  1. Real time Communication
  2. Cross Platform Support
  3. Live Audio Broadcasting
  4. Push Notifications
  5. Secure Image Sharing

5. Sendbird - Top Real time Chat for Live Video Streams

Being a leading real time chat platform provider in the market, Sendbird has its own hallmark of communication features to the world’s most prominent live streaming applications. Their real time chat solution enables broadcasting and streaming platform’ owners to create a physical equivalent digital chat experience for the audience during any live event streaming to interact, collaborate and cheer together within the same streaming screen. By creating open channels and groups, you can enable the audience to interact with each other during any streaming, engage them with polls, stickers, multiple communication channels and more.

Highlight Features of Sendbird Live Streaming Chat API Includes:

  1. Chat for Streaming website
  2. Messaging Data
  3. Multi Platforms
  4. Push Notifications
  5. End to End Encryption

6. Agora - Interactive Live Chat for Live Video Streaming

Agora, a deep integratable API available in the market to deliver live interactive streaming experience for workplace, enterprises, gaming, retail, telehealth and social live streaming websites. With easy-to-embed SDKs, Agora empowers businesses to add HD and low latency video and voice chat features into any streaming platforms and channels. Their easy-to-embed real time chat features encourage higher levels of user engagement and opportunity to drive more audience.

7. Enablex - A Redefined Communication APIs for In-app Chat

Their smart and secure chat APIs deliver real-time chat feasibility for live and on-demand video streaming websites. The real time chat features provides users to communicate and engage within the same streaming platform irrespective of interaction medium and audience count. Enablex offers platform-as-a-service communication solutions for real time messaging integration with APIs hosting possibility on public, private and cloud deployment. Their APIs are enriched with multiple communication features and engagement tools like live-polls, stickers and more.

8. Pubnub - In-app Chat Platforms for Live Event Streaming Websites

In order to increase user engagement with live and remote audiences, Pubnub offers real time messaging chat functionality with interactive features to drive event-based engagement with mass chat. Their in-app chat feature enhances live programs, event streaming and blogging content with live polling, multiple chats and more. It also enables live streaming websites to build community, channels and super groups during live streaming to bring the entire audience base to one place.

9. Vonage - Communication APIs for In-app Messagings

Vonage is a prime provider of communication APIs for major industrial sectors and enterprise workplaces. With its API, businesses such as live streaming applications can integrate in-app messaging features into any streaming platforms on Android, iOS and Web to empower user engagement. Their APIs are powered with scalable infrastructure and provide multiple communication mediums such as in-app voice, video and chat proactively engaging the audience.

10. Firekast - Live Chat Widget for Video Streaming Player

Firekast provides a customizable live chat widget with HTML code for streaming players to enable chat within any streaming or on-demand videos. The chat widget gives the ability for brands and content owners to make the audience to interact with each other for better engagement and proactivity during streaming. The Firekast Live chat comes with moderator tools that will allow administrators to delete or ban abusive content and users from the channel or groups. Firekast’s live chat comes with a private chat widget to create public or private chat rooms to make effective collaboration and discussions.

And this is all the real time chat providers in the market to implement chat functionality in any live streaming or broadcasting platforms. More than delivering entertaining live content, creating a massive engagement and buzz for every live event is the smarter way to turn every audience into a protiable subscriber. Picking up the right software provider is more important than just handling the integration process.

#live #live-streaming-solutions #live-streaming-chat-api #live-streaming-chat-sdk #chat-api-for-live-broadcasting

Adobe XD plugin for Flutter with CodePen Tutorial

Recently Adobe XD releases a new version of the plugin that you can use to export designs directly into flutter widgets or screens. Yes, you read it right, now you can make and export your favorite design in Adobe XD and export all the design in the widget form or as a full-screen design, this can save you a lot of time required in designing.

What we will do?
I will make a simple design of a dialogue box with a card design with text over it as shown below. After you complete this exercise you can experiment with the UI. You can make your own components or import UI kits available with the Adobe XD.

#developers #flutter #adobe xd design export to flutter #adobe xd flutter code #adobe xd flutter code generator - plugin #adobe xd flutter plugin #adobe xd flutter plugin tutorial #adobe xd plugins #adobe xd to flutter #adobe xd tutorial #codepen for flutter.

Willie  Beier

Willie Beier


Tutorial: Getting Started with R and RStudio

In this tutorial we’ll learn how to begin programming with R using RStudio. We’ll install R, and RStudio RStudio, an extremely popular development environment for R. We’ll learn the key RStudio features in order to start programming in R on our own.

If you already know how to use RStudio and want to learn some tips, tricks, and shortcuts, check out this Dataquest blog post.

Table of Contents

#data science tutorials #beginner #r tutorial #r tutorials #rstats #tutorial #tutorials

Tutorial: Loading and Cleaning Data with R and the tidyverse

1. Characteristics of Clean Data and Messy Data

What exactly is clean data? Clean data is accurate, complete, and in a format that is ready to analyze. Characteristics of clean data include data that are:

  • Free of duplicate rows/values
  • Error-free (e.g. free of misspellings)
  • Relevant (e.g. free of special characters)
  • The appropriate data type for analysis
  • Free of outliers (or only contain outliers have been identified/understood), and
  • Follows a “tidy data” structure

Common symptoms of messy data include data that contain:

  • Special characters (e.g. commas in numeric values)
  • Numeric values stored as text/character data types
  • Duplicate rows
  • Misspellings
  • Inaccuracies
  • White space
  • Missing data
  • Zeros instead of null values

2. Motivation

In this blog post, we will work with five property-sales datasets that are publicly available on the New York City Department of Finance Rolling Sales Data website. We encourage you to download the datasets and follow along! Each file contains one year of real estate sales data for one of New York City’s five boroughs. We will work with the following Microsoft Excel files:

  • rollingsales_bronx.xls
  • rollingsales_brooklyn.xls
  • rollingsales_manhattan.xls
  • rollingsales_queens.xls
  • rollingsales_statenisland.xls

As we work through this blog post, imagine that you are helping a friend launch their home-inspection business in New York City. You offer to help them by analyzing the data to better understand the real-estate market. But you realize that before you can analyze the data in R, you will need to diagnose and clean it first. And before you can diagnose the data, you will need to load it into R!

3. Load Data into R with readxl

Benefits of using tidyverse tools are often evident in the data-loading process. In many cases, the tidyverse package readxl will clean some data for you as Microsoft Excel data is loaded into R. If you are working with CSV data, the tidyverse readr package function read_csv() is the function to use (we’ll cover that later).

Let’s look at an example. Here’s how the Excel file for the Brooklyn borough looks:

The Brooklyn Excel file

Now let’s load the Brooklyn dataset into R from an Excel file. We’ll use the readxlpackage. We specify the function argument skip = 4 because the row that we want to use as the header (i.e. column names) is actually row 5. We can ignore the first four rows entirely and load the data into R beginning at row 5. Here’s the code:

library(readxl) # Load Excel files
brooklyn <- read_excel("rollingsales_brooklyn.xls", skip = 4)

Note we saved this dataset with the variable name brooklyn for future use.

4. View the Data with tidyr::glimpse()

The tidyverse offers a user-friendly way to view this data with the glimpse() function that is part of the tibble package. To use this package, we will need to load it for use in our current session. But rather than loading this package alone, we can load many of the tidyverse packages at one time. If you do not have the tidyverse collection of packages, install it on your machine using the following command in your R or R Studio session:


Once the package is installed, load it to memory:


Now that tidyverse is loaded into memory, take a “glimpse” of the Brooklyn dataset:

## Observations: 20,185
## Variables: 21
## $ BOROUGH <chr> "3", "3", "3", "3", "3", "3", "…
## $ `TAX CLASS AT PRESENT` <chr> "1", "1", "1", "1", "1", "1", "…
## $ BLOCK <dbl> 6359, 6360, 6364, 6367, 6371, 6…
## $ LOT <dbl> 70, 48, 74, 24, 19, 32, 65, 20,…
## $ `EASE-MENT` <lgl> NA, NA, NA, NA, NA, NA, NA, NA,…
## $ `BUILDING CLASS AT PRESENT` <chr> "S1", "A5", "A5", "A9", "A9", "…
## $ ADDRESS <chr> "8684 15TH AVENUE", "14 BAY 10T…
## $ `APARTMENT NUMBER` <chr> NA, NA, NA, NA, NA, NA, NA, NA,…
## $ `ZIP CODE` <dbl> 11228, 11228, 11214, 11214, 112…
## $ `RESIDENTIAL UNITS` <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1…
## $ `COMMERCIAL UNITS` <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0…
## $ `TOTAL UNITS` <dbl> 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1…
## $ `LAND SQUARE FEET` <dbl> 1933, 2513, 2492, 1571, 2320, 3…
## $ `GROSS SQUARE FEET` <dbl> 4080, 1428, 972, 1456, 1566, 22…
## $ `YEAR BUILT` <dbl> 1930, 1930, 1950, 1935, 1930, 1…
## $ `TAX CLASS AT TIME OF SALE` <chr> "1", "1", "1", "1", "1", "1", "…
## $ `BUILDING CLASS AT TIME OF SALE` <chr> "S1", "A5", "A5", "A9", "A9", "…
## $ `SALE PRICE` <dbl> 1300000, 849000, 0, 830000, 0, …
## $ `SALE DATE` <dttm> 2020-04-28, 2020-03-18, 2019-0…

The glimpse() function provides a user-friendly way to view the column names and data types for all columns, or variables, in the data frame. With this function, we are also able to view the first few observations in the data frame. This data frame has 20,185 observations, or property sales records. And there are 21 variables, or columns.

#data science tutorials #beginner #r #r tutorial #r tutorials #rstats #tidyverse #tutorial #tutorials

Jeromy  Lowe

Jeromy Lowe


Data Visualization in R with ggplot2: A Beginner Tutorial

A famous general is thought to have said, “A good sketch is better than a long speech.” That advice may have come from the battlefield, but it’s applicable in lots of other areas — including data science. “Sketching” out our data by visualizing it using ggplot2 in R is more impactful than simply describing the trends we find.

This is why we visualize data. We visualize data because it’s easier to learn from something that we can see rather than read. And thankfully for data analysts and data scientists who use R, there’s a tidyverse package called ggplot2 that makes data visualization a snap!

In this blog post, we’ll learn how to take some data and produce a visualization using R. To work through it, it’s best if you already have an understanding of R programming syntax, but you don’t need to be an expert or have any prior experience working with ggplot2

#data science tutorials #beginner #ggplot2 #r #r tutorial #r tutorials #rstats #tutorial #tutorials