Software Alternatives, Accelerators & Startups

Algorithmia VS Bunnyshell

Compare Algorithmia VS Bunnyshell and see what are their differences

Algorithmia logo Algorithmia

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Bunnyshell logo Bunnyshell

Everything already automated, from code to production: create servers, provision & configure, deploy.
  • Algorithmia Landing page
    Landing page //
    2023-09-14
  • Bunnyshell Landing page
    Landing page //
    2023-09-15

Bunnyshell automates all steps in the release process, from creating servers on multiple clouds (AWS, Azure, Google Cloud, Digital Ocean) to easy provisioning (ready to use apps - install & configure with one click) and one click deployments.

We are helping companies save time and money by standardizing and automating otherwise time consuming, knowledge-dependant or prone to error infrastructure-related tasks.

With Bunnyshell and a few clicks, any developer can:

Migrate easily (from premise to cloud, cloud to cloud) Create servers on multiple clouds Provision & configure applications Deploy with one click and zero downtime (multiple deployments time) Version their work and rollback any time Create dev & test environments on any cloud, version, OS Have automated security updates for all projects

Algorithmia

Pricing URL
-
$ Details
Release Date
2014 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Diego Oppenheimer
Employees
10 - 19

Bunnyshell

$ Details
-
Release Date
2018 January
Startup details
Country
Romania
State
Bucuresti
City
Bucharest
Founder(s)
Alin Dobra
Employees
10 - 19

Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

Bunnyshell videos

Deploy BitWarden automatically with bunnyshell on Azure Stack

Category Popularity

0-100% (relative to Algorithmia and Bunnyshell)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Cloud Computing
0 0%
100% 100

User comments

Share your experience with using Algorithmia and Bunnyshell. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Algorithmia and Bunnyshell

Algorithmia Reviews

We have no reviews of Algorithmia yet.
Be the first one to post

Bunnyshell Reviews

Top 10 Ephemeral Environments Solutions in 2024
Bunnyshell's forte lies in resource optimization within ephemeral environments, offering cost-efficient solutions. Its integration capabilities and developer-friendly interfaces make it a viable option for teams seeking scalability in ephemeral setups. Bunnyshell's intuitive dashboard and one-click deployment enhance its user appeal among development teams, focusing on rapid...
Source: www.qovery.com

Social recommendations and mentions

Based on our record, Algorithmia should be more popular than Bunnyshell. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Algorithmia mentions (5)

Bunnyshell mentions (2)

What are some alternatives?

When comparing Algorithmia and Bunnyshell, you can also consider the following products

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Porter - Heroku that runs in your own cloud

MCenter - Machine Learning Operationalization

8base - Rethink development using 8base's low-code development platform.