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  1. Stackups
  2. AI
  3. Development & Training Tools
  4. Data Science Notebooks
  5. Mineo vs Vayu

Mineo vs Vayu

OverviewComparisonAlternatives

Overview

Vayu
Vayu
Stacks2
Followers10
Votes0
Mineo
Mineo
Stacks0
Followers1
Votes0

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CLI (Node.js)
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Manual

Detailed Comparison

Vayu
Vayu
Mineo
Mineo

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.

It is the platform to explore your data, develop and deploy your Python supercharged Notebooks and track the quality of your data using Machine learning.

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
Develop, share and deploy your supercharged Python notebooks on a scalable platform; Automate and streamline your workflows with Python-based data pipelines that leverage the power of notebooks; Establish processes to measure and track the quality of your data over the time using machine learning
Statistics
Stacks
2
Stacks
0
Followers
10
Followers
1
Votes
0
Votes
0
Integrations
Python
Python
R Language
R Language
PingFederate
PingFederate
Microsoft SQL Server
Microsoft SQL Server
Python
Python
PostgreSQL
PostgreSQL
Amazon Redshift
Amazon Redshift
Clickhouse
Clickhouse
Oracle
Oracle
Slack
Slack
OpenID Connect
OpenID Connect

What are some alternatives to Vayu, Mineo?

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.

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

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.

PyXLL

PyXLL

Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!

Sheety

Sheety

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

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.

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