[dare0505]

What's interesting about Google is, they can have open source products that are hated a big % of devs (Angular) and something that doesn't have that problem (Tensorflow).

I wonder what's the underlying issue behind this disparity. Wonder if it the teams themselves behind those products...

[nabla9]

Maybe it's the software itself and nothing associated with it. When something is 'Google' it's not automatically good or bad.

[stochastic_monk]

I see PyTorch and, to a much lesser extent, DyNet used in state-of-the-art NLP applications. I wonder if PyTorch is “winning”.

[fizixer]

A lot responses challenging your Angular-is-hated claim, but I'd like to challenge your other one.

Tensorflow is not necessarily the most loved framework, despite it being in python, and being around for years now. This is in stark contrast to the way TF was marketed and hyped up, as the f/w that's going to take over the world of DL. That clearly didn't happen.

I think torch/pytorch is more popular (but don't quote me on that). And there are about half-a-dozen more competing with these two.

Putting two and two together, Angular and TF likely have more similarities than differences when it comes to community response.

[hippich]

what other viable projects besides tf/torch you would recommend to take a look at?

[michaelbuckbee]

I think "hated" is a too strong a word here. They're releasing software that they use themselves and I think there are hits and misses in large part based upon how closely your own processes and what you're trying to accomplish match up with what Google is trying to do.

[bobbby]

I'm no fan of Angular but that's a bit harsh.

Surely it's just the difference between a product for mass consumption and a niche one.

[typicalbender]

Old opinions strongly held. I think Angular 1 left a bad taste in peoples mouths and that gets carried over in perpetuity. Take php for example, I'm sure you can find plenty of devs who haven't touched php in 10+ years but will still say they despise it.

[netdur]

Angular is hated? Angular is my only way out of Javascript fatigue, it just works.

[dylanz]

It gets a lot of hate on HN when compared to React/Vue/etc, but I used it for years and it was a breathe of fresh air coming from raw JS. I think a lot of people on HN form opinions on software and its landscape without actually using it or interacting with its community (outside of HN).

[aboutruby]

I think most people (including me) didn't like the 1.4 to 2.0 "transition" (e.g. not a single ounce of backward compatibility, basically Angular 1.4 was abandoned)

[dekhn]

you might not be aware but there is a lot of unhappiness with TensorFlow in the community. For example, I hear many comments about how complex it is, how hard the basic API is to use, how many random parts it's acquired. Most of those people point at Torch, and in fact tensorflow is adopting some of Torch's approaches for this reason.

It will be interesting to see if tensorflow retains a fairly high level of popularity over time. The 1->2 transition is a big risk for them because so many people are on TF 1, there's a ton of intrusive changes.

[rjdagost]

For myself, I was surprised by how low-level Tensorflow was. I found that basic operations (things like saving and reloading a trained model) were much more difficult than in Keras, scikit-learn, or other machine learning libraries. Using Tensorflow feels sort of like computing derivatives with limits.

[mattkrause]

There’s some frustration with tensorflow too. It often feels like there are a dozen different, somewhat incompatible ways to do 90% of something.

[FridgeSeal]

And the documentation and examples seem to go out of their way to avoid mentioning when you should use any given approach; instead happily inexplicably using any one of them with wild abandon.

[piadodjanho]

In the academia people prefer PyTorch over TensorFlow.