Software Alternatives, Accelerators & Startups

Bunnyshell VS neptune.ai

Compare Bunnyshell VS neptune.ai and see what are their differences

Bunnyshell logo Bunnyshell

Everything already automated, from code to production: create servers, provision & configure, deploy.

neptune.ai logo 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.
  • 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

  • neptune.ai Landing page
    Landing page //
    2023-08-24

Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.

Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code

Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.

Bunnyshell

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

neptune.ai

Website
neptune.ai
$ Details
freemium
Platforms
Python
Release Date
2018 April
Startup details
Country
Poland
State
Mazowieckie
City
Warsaw
Founder(s)
Piotr Niedzwiedz
Employees
10 - 19

Bunnyshell videos

Deploy BitWarden automatically with bunnyshell on Azure Stack

neptune.ai videos

Machine Learning Experiment Management with Neptune.ai - How to start

Category Popularity

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

User comments

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Reviews

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

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

neptune.ai Reviews

  1. Easy to use, not overdone, good for model management and collab

    Only negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group

Social recommendations and mentions

Based on our record, neptune.ai seems to be a lot more popular than Bunnyshell. While we know about 23 links to neptune.ai, we've tracked only 2 mentions of Bunnyshell. 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.

Bunnyshell mentions (2)

neptune.ai mentions (23)

  • A step-by-step guide to building an MLOps pipeline
    Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / 14 days ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 4 months ago
  • Show HN: A gallery of dev tool marketing examples
    Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 9 months ago
  • How to structure/manage a machine learning experiment? (medical imaging)
    There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
  • How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)
    Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 10 months ago
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What are some alternatives?

When comparing Bunnyshell and neptune.ai, you can also consider the following products

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.

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.

ARGONAUT - Definition, Synonyms, Translations of Argonaut by The Free Dictionary

Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Porter - Heroku that runs in your own cloud

Weights & Biases - Developer tools for deep learning research