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  1. Stackups
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  4. Tools For Github
  5. Next Release vs Vayu

Next Release vs Vayu

OverviewComparisonAlternatives

Overview

Next Release
Next Release
Stacks0
Followers1
Votes0
GitHub Stars20
Forks9
Vayu
Vayu
Stacks2
Followers10
Votes0

Vayu vs Next Release: What are the differences?

Developers describe Vayu as "*Interactive, no-code data science notebook *". It is an end-to-end tool for data science, without writing any code. Import, prepare, analyze, visualize and share in just a few clicks. Build interactive reports, automate workflows and share templates. On the other hand, Next Release is detailed as "Automated Release Notes for companies using GitHub". It enables you to easily distribute professional, best in class, automatically generated notes or use them as a platform to kickstart your artistic release note process. With all the information you need in one place, it’s never been simpler to prepare tailored notes for each of your target audiences.

Vayu and Next Release are primarily classified as "Data Science Notebooks" and "Tools for GitHub" tools respectively.

Some of the features offered by Vayu are:

  • The power of SQL, R and Python, without a single line of code
  • Lightning fast drag and drop queries to accelerate productivity
  • Turn your notebook into repeatable steps anyone can follow

On the other hand, Next Release provides the following key features:

  • Automatic SemVar using GitHub Pull Requests
  • Release note dashboard
  • Share release notes via Slack

Next Release is an open source tool with 8 GitHub stars and 6 GitHub forks. Here's a link to Next Release's open source repository on GitHub.

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Detailed Comparison

Next Release
Next Release
Vayu
Vayu

It enables you to easily distribute professional, best in class, automatically generated notes or use them as a platform to kickstart your artistic release note process. With all the information you need in one place, it’s never been simpler to prepare tailored notes for each of your target audiences.

It is an end-to-end tool for data science, without writing any code. Import, prepare, analyze, visualize and share in just a few clicks. Build interactive reports, automate workflows and share templates.

Automatic SemVar using GitHub Pull Requests; Release note dashboard; Share release notes via Slack
The power of SQL, R and Python, without a single line of code; Lightning fast drag and drop queries to accelerate productivity; Turn your notebook into repeatable steps anyone can follow; Share your notebooks and datasets with anyone; Bring your best and brightest on board to collaborate on your data journey; Your workflow, all in one place. From start to finish, VAYU does it all; Flexibile, agile and limitless. VAYU can be tailored to suit you and your team
Statistics
GitHub Stars
20
GitHub Stars
-
GitHub Forks
9
GitHub Forks
-
Stacks
0
Stacks
2
Followers
1
Followers
10
Votes
0
Votes
0
Integrations
GitHub
GitHub
Slack
Slack
Python
Python
R Language
R Language

What are some alternatives to Next Release, Vayu?

Jupyter

Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

Apache Zeppelin

Apache Zeppelin

A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more.

Deepnote

Deepnote

Deepnote is building the best data science notebook for teams. In the notebook, users can connect their data, explore and analyze it with real-time collaboration and versioning, and easily share and present the polished assets to end users.

Bubble

Bubble

It is a visual programming language that lets you build a fully-functional web app without writing code. Users have built marketplaces, CRM tools, social networks. Engineers can focus on new features and add them as plugins with code, while business people can focus on the customer-facing product.

Remergr.io

Remergr.io

Keep your pull requests automatically up-to-date and resolve your pull requests' conflicts directly from GitHub's UI. Save hundreds of hours you spend resolving conflicts by keeping always your pull requests automatically up-to-date to reduce the chance of conflicts. If conflicts are found, you can straightforwardly resolve them on GitHub's UI with a click of a button.

Sheety

Sheety

Power websites, apps, or whatever you like, all from a spreadsheet. Changes to your spreadsheet update your API in realtime.

Astral

Astral

Astral pulls down all of your starred repositories on GitHub and allows you to organize them using one or more tags.

Draftbit

Draftbit

Create, customize, launch, and iterate on your mobile app, all from your browser. Source code included.

Amazon Honeycode

Amazon Honeycode

It gives you the power to build powerful mobile & web applications without writing any code. It uses the familiar spreadsheet model and lets you get started in minutes. If you or your teammates are already familiar with spreadsheets and formulas, you’ll be happy to hear that just about everything you know about sheets, tables, values, and formulas still applies.

TravisBuddy

TravisBuddy

TravisBuddy is a cloud service that creates comments in failed pull requests and tell the author what went wrong and what they can do to fix it.

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