Software Alternatives & Reviews

neptune.ai VS Pachyderm

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

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.

Pachyderm logo Pachyderm

Pachyderm is an open source analytics engine that uses Docker containers for distributed computations.
  • 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.

  • Pachyderm Landing page
    Landing page //
    2023-10-17

neptune.ai

Categories
  • Data Science And Machine Learning
  • Data Science Notebooks
  • Machine Learning Tools
  • Machine Learning
  • AI
Website neptune.ai
Pricing URL Official neptune.ai Pricing
Details $freemium
Platforms
Python
Release Date2018-04-03

Pachyderm

Categories
  • Data Science And Machine Learning
  • Data Science Notebooks
  • Machine Learning Tools
  • Machine Learning
Website pachyderm.com
Pricing URL-
Details $
Platforms
-
Release Date-

neptune.ai videos

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

Pachyderm videos

TuneUp iTunes library tool - Pachyderm Review

More videos:

  • Review - Enabling reproducibility at scale with R and Pachyderm
  • Review - 2019 Claypool Cellars Purple Pachyderm Pinot Noir Rosé Wine Review
  • Demo - Intro to Pachyderm | The Data Foundation for Machine Learning
  • Tutorial - How to Use Pachyderm - Beginner's Tutorial Walkthrough

Category Popularity

0-100% (relative to neptune.ai and Pachyderm)
Data Science And Machine Learning
Data Science Notebooks
72 72%
28% 28
Machine Learning Tools
68 68%
32% 32
Machine Learning
100 100%
0% 0

User comments

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Reviews

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

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

Pachyderm Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Pachyderm: This is another great alternative to tools like Airflow. Here's a great GitHub writeup about some of the simple differences between Airflow and Pachyderm. Note: Paychyderm has an open-source edition on their website.
Source: www.xplenty.com

Social recommendations and mentions

Based on our record, neptune.ai seems to be a lot more popular than Pachyderm. While we know about 22 links to neptune.ai, we've tracked only 1 mention of Pachyderm. 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.

neptune.ai mentions (22)

  • 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 / 2 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 / 6 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: 8 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 / 8 months ago
  • [D] Is there any all in one deep learning platform or software
    Tbh I have done a pretty good search on this topic, I couldn't find any. I thought maybe community could help me find one, if people like you (who works at neptune.ai) have the same opinion then it is what it is :). Anyway thank you for the suggestions that you gave, probably gonna use that. Source: 9 months ago
View more

Pachyderm mentions (1)

  • Proton Is Trying to Become Google–Without Your Data
    > Work: https://pachyderm.com/ Well, I know what I'm not using if I ever have a need for an ML pipeline. - Source: Hacker News / almost 2 years ago

What are some alternatives?

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

Weights & Biases - Developer tools for deep learning research

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

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.

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.

Spell - Deep Learning and AI accessible to everyone

9 Spokes - 9 Spokes is a free data dashboard that connects your apps to identify powerful insights to deliver your business KPI's.