Conduit VS Ploomber

Compare Conduit VS Ploomber and see what are their differences

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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.

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2023-01-19

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2023-08-24

Conduit

Website: conduit.io
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Ploomber

Website: ploomber.io
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Conduit features and specs

Privacy-focused
Conduit is built with a strong emphasis on user privacy, employing end-to-end encryption to ensure that all communication is secure and private.
Lightweight
Designed to be lightweight, Conduit is able to run efficiently on low-resource systems, making it suitable for a wide range of deployment environments.
Federated Network Support
Conduit supports the Matrix protocol, which allows for decentralized communication across servers, providing flexibility and resilience.
Open Source
As an open-source project, Conduit allows users and developers to inspect, modify, and contribute to the codebase, fostering community involvement and transparency.
Easy Setup
The platform is designed with an easy setup process, making it accessible for users who may not be deeply technical to set up and run their own server.

Possible disadvantages of Conduit

Limited Features
Compared to more established platforms, Conduit may have a more limited feature set, which could be a disadvantage for users requiring advanced functionalities.
Maturity
Being a relatively new project, it may lack the maturity and stability of more established communication platforms, potentially resulting in less polished experiences.
Community Size
With a smaller user and developer community compared to some alternative platforms, users might find less support or fewer third-party integrations available.
Scaling Challenges
While designed to be lightweight, users may encounter challenges when attempting to scale Conduit for very large deployments, as optimizations may still be ongoing.
Learning Curve
For users unfamiliar with the Matrix protocol or federated systems, there could be a learning curve involved in understanding how to make the most of Conduit's capabilities.

Ploomber features and specs

Ease of Use
Ploomber provides a simple interface to manage data pipelines, making it accessible for developers and data scientists without extensive experience in pipeline orchestration.
Integration with Jupyter
It integrates seamlessly with Jupyter notebooks, allowing users to create, develop, and test pipelines directly in an interactive environment.
Code Reusability
Ploomber enables users to efficiently reuse code components across different projects, enhancing productivity and reducing redundancy.
Modular Design
The platform supports a modular approach to building data workflows, making it easier to maintain and update individual components without affecting the entire system.
Scalability
Ploomber can scale pipelines as needed, from running locally on a single machine to deploying across distributed systems, accommodating various project sizes and requirements.

Possible disadvantages of Ploomber

Learning Curve
While designed to be user-friendly, new users may still face a learning curve to fully understand and leverage the features and capabilities of Ploomber.
Limited Customization
Some users might find the level of customization insufficient for specific niche requirements, potentially requiring workarounds or additional tools.
Dependency Management
Managing dependencies can occasionally be complex, especially in larger projects with numerous interdependent components, leading to potential conflicts.
Community and Support
As a relatively new platform, the community and support resources for Ploomber may not be as expansive as those for more established data pipeline tools.
Performance Overhead
In certain scenarios, the abstraction layers in Ploomber might introduce performance overhead compared to more low-level pipeline solutions.

Conduit videos

+ Add

The Conduit Nintendo Wii Review - Video Review

Ploomber videos

+ Add

Open-Source Spotlight - Ploomber - Eduardo Blancas

Category Popularity

0-100% (relative to Conduit and Ploomber)

Conduit

Ploomber

Developer Tools

58 58%

Developer Tools

42% 42

60 60%

40% 40

No Code

69 69%

No Code

31% 31

Productivity

100 100%

Productivity

0% 0

User comments

Share your experience with using Conduit and Ploomber. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Ploomber should be more popular than Conduit. 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.

Conduit mentions (1)

What services you guys used for CDC (Change Data capture) for Sql as well as no sql databases ?
If you're looking for a tool with a UI and in which you can also easily extend the functionality with your own, custom data connectors, you might also want take a look at Conduit which is another open-source tool we've developed to make building and running real-time data infrastructure more straightforward and less time consuming. Source: almost 3 years ago

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 / over 1 year 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 2 years 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 2 years ago
Saving log files
That's what we do for lineage with https://ploomber.io/. Source: over 2 years 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 3 years ago

What are some alternatives?

When comparing Conduit and Ploomber, you can also consider the following products

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

ZenML - Create reproducible machine learning pipelines

Omdena - Collaborative platform to build real-world AI

PrimeHub - PrimeHub provides a ready-to-use research and training environment for data scientists to focus on their true productivity in a collaborative environment.

Affinity - Relationship Intelligence, Reimagined

Attri - Attri helps companies become AI-first organizations with research in the AI field, designing and applying AI processes, platforms, and solutions for success.