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Ploomber VS Ultra Hal Assistant

Compare Ploomber VS Ultra Hal Assistant and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Ploomber logo Ploomber

Ploomber is an open-source framework that helps data scientists quickly deploy the code they develop in interactive environments (Jupyter, VScode, PyCharm, etc.), eliminating the need for time-consuming manual porting to production platforms.

Ultra Hal Assistant logo Ultra Hal Assistant

Zabaware is the creator of award winning artificial intelligence (AI) technology called Ultra Hal. Ultra Hal is an entertaining chatbot that learns and evolves from conversation. The more you talk to it the smarter it becomes.
  • Ploomber Landing page
    Landing page //
    2023-08-24
  • Ultra Hal Assistant Landing page
    Landing page //
    2021-10-20

Ploomber videos

+ Add

Open-Source Spotlight - Ploomber - Eduardo Blancas

More videos:

  • Review - EDUARDO BLANCAS - Ploomber: Open-Source Tools for Maintainable and Production-Ready Data Science
  • Review - Ploomber: Developing Maintainable & Reproducible Data- Eduardo Blancas, Ido Michael | SciPy 2022

Ultra Hal Assistant videos

+ Add

Zabaware's Ultra Hal Assistant - Official Promo Video

Category Popularity

0-100% (relative to Ploomber and Ultra Hal Assistant)

Ploomber

Ultra Hal Assistant

Developer Tools
100 100%
Developer Tools
0% 0
Marketing Platform
0 0%
Marketing Platform
100% 100
AI
32 32%
AI
68% 68
Open Source
100 100%
Open Source
0% 0

User comments

Share your experience with using Ploomber and Ultra Hal Assistant. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Ploomber seems to be more popular. It has been mentiond 7 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.

Ploomber mentions (7)

  • Show HN: JupySQL – a SQL client for Jupyter (ipython-SQL successor)
    - One-click sharing powered by Ploomber Cloud: https://ploomber.io Note that JupySQL is a fork of ipython-sql; which is no longer actively developed. Catherine, ipython-sql's creator, was kind enough to pass the project to us (check out ipython-sql's README). We'd love to learn what you think and what features we can ship for JupySQL to be the best SQL client! Please let us know in the comments! - Source: Hacker News / 6 months ago
  • A three-part series on deploying a Data Science Platform on AWS
    Developing end-to-end data science infrastructure can get complex. For example, many of us might have struggled to try to integrate AWS services and deal with configuration, permissions, etc. At Ploomber, we’ve worked with many companies in a wide range of industries, such as energy, entertainment, computational chemistry, and genomics, so we are constantly looking for simple solutions to get them started with... Source: over 1 year ago
  • Is Colab still the place to go?
    If you like working locally with notebooks, you can run via the free tier of ploomber, that'll allow you to get the Ram/Compute you need for the bigger models as part of the free tier. Also, it has the historical executions so you don't need to remember what you executed an hour later! Source: over 1 year ago
  • Saving log files
    That's what we do for lineage with https://ploomber.io/. Source: over 1 year ago
  • Three Tools for Executing Jupyter Notebooks
    NBClient supports running notebooks via CLI for the most basic use cases. However, for more sophisticated execution options, consider the Ploomber! - Source: dev.to / almost 2 years ago
View more

Ultra Hal Assistant mentions (0)

We have not tracked any mentions of Ultra Hal Assistant yet. Tracking of Ultra Hal Assistant recommendations started around Mar 2021.

What are some alternatives?

When comparing Ploomber and Ultra Hal Assistant, you can also consider the following products

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datagran - All-in-one AI data workspace

Recombee - Recommender system as a service that uses advanced Machine Learning and Artificial Intelligence algorithms. Easy to try and evaluate.

FiscalNote - FiscalNote is a GRM platform enabling government affairs professionals to maximize their influence on legislation.

julia-ann - julia-ann is the implementation of backpropagation artificial neural networks in Julia that allow users to build multilayer networks and accept DataFrames as inputs.

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