Parabola VS Metaflow

Parabola Reviews

Metaflow Reviews

Parabola mentions (4)

• Ask HN: Is There a Zapier for APIs?

  Https://parabola.io/ https://pipedream.com/ https://autocode.com/ I think the first is no-code while the two others are more like low-code (pipedream free amy be enough for you). - Source: Hacker News / 2 months ago

• Show HN: Glue – Pandas as a DAG (Now a web app)

  Hey guys, I posted this maybe a year ago. It was originally an electron based desktop app which was cool but pretty hard to maintain / get people to download and test it out. Given that there would likely always need to be a cloud component regardless I decided that it would be easier to port it over into a web app and maintain it that way. Since doing that I took a job and am pretty burned out on the project. I... - Source: Hacker News / over 1 year ago

• connecting two Woocommerce stores

  This sounds like a task that might be better suited to Parabola, if there are lots of orders every day. Source: almost 3 years ago

• Parabola Lets Your Computer Work For You

  No-code tools and platforms are starting to take center stage much more today. Given the countless opportunities these kinds of technology enable, it makes a lot of sense why citizen developers continue to increase in multitudes. That mentioned, parabola.io is one fine example of how visual programming is changing the game, not only in tech but more so in businesses.... Source: almost 3 years ago

Metaflow mentions (12)

• What are some open-source ML pipeline managers that are easy to use?

  I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: 12 months ago

• Needs advice for choosing tools for my team. We use AWS.

  1) I've been looking into [Metaflow](https://metaflow.org/), which connects nicely to AWS, does a lot of heavy lifting for you, including scheduling. Source: about 1 year ago

• Selfhosted chatGPT with local contente

  Even for people who don't have an ML background there's now a lot of very fully-featured model deployment environments that allow self-hosting (kubeflow has a good self-hosting option, as do mlflow and metaflow), handle most of the complicated stuff involved in just deploying an individual model, and work pretty well off the shelf. Source: about 1 year ago

• [OC] Gender diversity in Tech companies

  They had to figure out video compression that worked at the volume that they wanted to deliver. They had to build and maintain their own CDN to be able to have a always available and consistent viewing experience. Don’t even get me started on the resiliency tools like hystrix that they were kind enough to open source. I mean, they have their own fucking data science framework and they’re looking into using neural... Source: over 1 year ago

• Going to Production with Github Actions, Metaflow and AWS SageMaker

  Github Actions, Metaflow and AWS SageMaker are awesome technologies by themselves however they are seldom used together in the same sentence, even less so in the same Machine Learning project. - Source: dev.to / over 1 year ago