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.
We have collected here some useful links to help you find out if Ploomber is good.
Check the traffic stats of Ploomber on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Ploomber on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Ploomber's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Ploomber on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Ploomber on Reddit. This can help you find out how popualr the product is and what people think about it.
- 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 2 years ago
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, weโve 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: almost 4 years ago
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: almost 4 years ago
That's what we do for lineage with https://ploomber.io/. Source: almost 4 years ago
NBClient supports running notebooks via CLI for the most basic use cases. However, for more sophisticated execution options, consider the Ploomber! - Source: dev.to / about 4 years ago
Now that I'm on the other side (I have to hire people), I'm starting to see things from the company's perspective. If you interview at a company and they don't take you because you aren't able to derive a mathematical formula, then you probably have to reflect if that's a place where you want to work. Maybe the team is more research-oriented, and you want more practical work. The interview tells you a lot about... Source: over 4 years ago
I recommend checking out Ploomber (https://ploomber.io), it was designed to have seamless integration with Jupyter and SQL (and also supports .sql files). You can generate full sql pipelines that ends with reports. We've also wrote a guide on writing clean SQL at scale (https://ploomber.io/blog/sql/). Source: over 4 years ago
Do you know an article comparing Ploomber to other products?
Suggest a link to a post with product alternatives.
Is Ploomber good? This is an informative page that will help you find out. Moreover, you can review and discuss Ploomber here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
