IFTTT is a marketing automation software solution offered by IFTTT. It is scaled for non-technical
users and less complex, generally two-step connectors and API’s.
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TensorFlow
Score7.6 out of 10
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TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
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Pricing
IFTTT
TensorFlow
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IFTTT
TensorFlow
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
Yes
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
IFTTT
TensorFlow
Cloud Data Integration
Comparison of Cloud Data Integration features of IFTTT and TensorFlow
Because of the multitude of options with IFTTT, it is hard to describe the best use scenarios, but I will share how I use the platform at this time. I use IFTTT to check Craigslist for certain IT equipment postings and email me if that occurs, turning items on and off with geo-fencing and WiFi network presence, and linking my calendar to my to-do list
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
IFTTT manages a number of social media accounts quite well. Being able to login to one platform with access to all your accounts is great.
IFTTT is easy to set up. IFTTT has a number of crowd sourced and created formulas that you can use, or if you're looking for something specific you can create your own. This allows for an endless number of combinations and ways to engage with the program.
IFTTT doesn't require constant upkeep. Once you have things setup you can forget about it and it just works.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The website section "Activity" tends to get very crowded over time. It would benefit from some search and filter functionalities.
Some services lack ingredients. "Ingredients" are attributes passed from one service to another to enhance IFTTT's power. However, some services (like Evernote's notes, for example) currently have too few ingredients available.
It is not possible to link more than two services. It would be great, for example, to have an option to take a mail message and post in multiple social networks and blogs with the same applet.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
There is no better alternative and although Integromat is new and the GUI is slick, they make you pay per push and IFTTT does not. The rest of the competition make you pay per integration or are just not as seamless in usage or have the depth of catalogue. If you use Zapier for instance, it is because they have an integration you have to use, not because Zapier does a better job.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
For the most part, IFTTT is great but it does have its limitations. You may only do one thing at a time. If you want branching logic it can be cumbersome and clunky. This it where something like Microsoft Flow does better. For simplicity, nothing can beat IFTTT for how easy it is to set up and use right out of the box
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I have had a few issues with apps over the years. Compared to other services, ITFFF is the best choice but no service is perfect unless you build it yourself for yourself. ITFFF needs more tutorials on how to create a custom platform, but overall I will recommend it as an easy to use, time-saving service.
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I haven't used Zapier extensively, but it seems that IFTTT is much simpler to set up. However, Zapier appears to be a much deeper integration where you can sync a variety of fields of data and customize the sync more than you can with IFTTT. Zapier may be more valuable for someone with a complex need and IFTTT is built for simple solutions for more basic apps.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
