Based on our record, Autocode should be more popular than nbviewer.org. It has been mentiond 23 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.
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 / 3 months ago
Over at Autocode, we make it really easy to build APIs and Discord bots. We’ve found a lot of success in running hackathons focused on our Discord community. Historically, we’ve been able to use these hackathons to build awareness of new APIs on our platform, quickly find bugs in existing APIs, and build up a library of content that new users can reference. Today, I’m going to show you how we run our hackathons... - Source: dev.to / 10 months ago
Autocode - Build JavaScript-powered bots, scripts, and APIs with code generation and instant deployment. Source: 10 months ago
A couple of weeks ago, I discovered Autocode, a suite of tools that allows you to develop and launch many software projects with one of the best Developer Experience (DX) I've ever seen. I was so impressed by the DX that I decided to create a plugin for ChatGPT using Autocode. - Source: dev.to / about 1 year ago
I'm kinda a noob so sorry if this is a dumb question: Is there a repo for this project I can clone locally? It looks like it is tightly coupled to autocode.com. I'd like to run it locally. Source: about 1 year ago
Example notebooks are included in the repo and can be previewed using nbviewer:. Source: over 1 year ago
Nbviewer (https://nbviewer.org/): very easy to use for smaller jupyter notebook that does not require heavy rendering. Source: over 1 year ago
Nbconvert renders everything exactly as it looks in your notebook app into a read-only HTML version and is what GitHub uses for notebooks. Interactive plots from Bokeh, Holoviews, etc can still work if you trust the JS, and since editing notebooks while showing them during a meeting usually doesn't go well, read-only is probably good enough (eager to hear feedback on this point though). The nice thing is that... Source: over 1 year ago
Just as a heads up, I used plotly to generate a lot of the charts, so you'll need to view it from an nbviewer like nbviewer.org. Source: about 2 years ago
I used a lot of plotly not knowing that Github wouldn't show it, so you'll need notebook viewer like nbviewer.org to see some of the charts. Source: about 2 years ago
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