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  5. Dataflow vs mljar Mercury

Dataflow vs mljar Mercury

OverviewComparisonAlternatives

Overview

mljar Mercury
mljar Mercury
Stacks1
Followers3
Votes0
GitHub Stars4.3K
Forks272
Dataflow
Dataflow
Stacks0
Followers1
Votes1

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CLI (Node.js)
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Detailed Comparison

mljar Mercury
mljar Mercury
Dataflow
Dataflow

It is the easiest way to turn your Python Notebooks into interactive web applications and publish to the cloud. It is dual-licensed. The main features are available in the open-source version. It is perfect for quick demos, educational purposes, sharing notebooks with friends.

Build, run & deploy data pipelines, ML models and Streamlit apps without DevOps. Jupyter, Airflow & VS Code in one managed Python platform. Free trial.

You define interactive widgets for your notebook with the YAML header; Your users can change the widgets values, execute the notebook and save result (as PDF or HTML file); You can add authentication to your notebooks, so only logged users will see the notebook; You can hide your code to not scare your (non-coding) collaborators; Easily deploy to any server; You can schedule the notebook for automatic execution in selected time intervals;
Managed Dependencies, Development Ready Workspace, Shared Foundation, Deploy to Production, Cloud-Agnostic
Statistics
GitHub Stars
4.3K
GitHub Stars
-
GitHub Forks
272
GitHub Forks
-
Stacks
1
Stacks
0
Followers
3
Followers
1
Votes
0
Votes
1
Integrations
Matplotlib
Matplotlib
XGBoost
XGBoost
PyTorch
PyTorch
TensorFlow
TensorFlow
PostgreSQL
PostgreSQL
Plotly.js
Plotly.js
YAML
YAML
NumPy
NumPy
scikit-learn
scikit-learn
Jupyter
Jupyter
No integrations available

What are some alternatives to mljar Mercury, Dataflow?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Hasura

Hasura

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

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