Software Alternatives, Accelerators & Startups

TFlearn VS Heroku

Compare TFlearn VS Heroku and see what are their differences

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Heroku logo Heroku

Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
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  • Heroku Landing page
    Landing page //
    2023-10-05

TFlearn videos

Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

Heroku videos

What is Heroku | Ask a Dev Episode 14

More videos:

Category Popularity

0-100% (relative to TFlearn and Heroku)
OCR
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Data Science And Machine Learning
Cloud Hosting
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TFlearn and Heroku

TFlearn Reviews

We have no reviews of TFlearn yet.
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Heroku Reviews

  1. Useful Cloud Platform

    Great service to build, run and manage applications entirely in the cloud!

    🏁 Competitors: Amazon AWS, Dokku on Digital Ocean, Firebase
    👍 Pros:    Easy user interface|Good customer service|Multi-language cloud application platform
    👎 Cons:    Limitation with some addons|Low network performance
  2. 🏁 Competitors: Docker, Amazon AWS
    👍 Pros:    Powerful development environments|Great value for the money|Great customer support|Paas

2023 Firebase Alternatives: Top 10 Open-Source & Free
Heroku Postgres – Majority of businesses like Heroku because of its SQL database support. Yes, PostgreSQL as a service is an appealing product of this PaaS vendor with quick deployment approaches.
5 Free Heroku Alternatives with Free Plan for Developers
Koyeb is a decent alternative to Heroku that you can consider for hosting or deploying your web apps and APIs. It has all the features of Heroku that you will need for your projects. So far, I have not encountered an importer tool for migrating Heroku deployments but I am sure doing that manually will not be that hard. Just like Heroku it offers you an intuitive web UI as...
Choosing the best Next.js hosting platform
However, there are a few disadvantages to Heroku. First of all, despite its build pack, Heroku will run your project as a Node.js application. As a result, you will lose some of Next.js’ most interesting features, such as Incremental Static Regeneration. Analytics are replaced by metrics and measured throughput, response time, and memory usage (only on paid plans).
Top 10 Netlify Alternatives
Heroku is another alternative to Netlify that doesn’t only host static websites but has the ability to host dynamic websites. This PaaS platform was launched in 2007 and conferred highly scalable features to deploy, host and launch applications.
The Best Cloud Hosting Providers for Elixir Phoenix
There are two different ways to deploy a Phoenix app on Heroku. You can use Heroku buildpacks or the Heroku container stack. For testing, we followed the Deploying on Heroku guide from the Phoenix docs to deploy Phoenix and Postgres using the Heroku container stack and Docker. We created our Phoenix app, updated for releases, added Heroku environment variable config, and...
Source: staknine.com

Social recommendations and mentions

Based on our record, Heroku seems to be a lot more popular than TFlearn. While we know about 72 links to Heroku, we've tracked only 2 mentions of TFlearn. 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.

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago

Heroku mentions (72)

  • Heroku Reviews Apps prevent delivering bugs on production
    Review Apps run the code in any GitHub PR in a complete, disposable Heroku application. Review Apps each have a unique URL you can share. It’s then super easy for anyone to try the new code. - Source: dev.to / 15 days ago
  • How to keep an HTTP connection alive for 9 hours
    The app is deployed to Heroku and when it came time to switch the mode to email-on-account-creation mode, it was a very simple environment change:. - Source: dev.to / 8 months ago
  • How to Process Scheduled Queue Jobs in Node.js with BullMQ and Redis on Heroku
    Heroku is a cloud platform that makes it easy to deploy and scale web applications. It provides a number of features that make it ideal for deploying background job applications, including:. - Source: dev.to / 10 months ago
  • I made a Bot.. How do I use it?
    Once you've created it you can host it locally (this means leaving the program running on your computer) or host it through a service online. I haven't personally tried this yet, but I believe you can use a site like heroku.com or other similar services. Source: 12 months ago
  • Making AJAX Applications Crawlable? How to build a simple web service on Google App Engine to produce HTML Snapshots?
    I have my app hosted on Heroku, who (to my knowledge) are unable to offer a solution for running a Headless (GUI-less) Browser - such as HTMLUnit - for generating HTML Snapshots for Googlebot to index my AJAX content. Source: about 1 year ago
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What are some alternatives?

When comparing TFlearn and Heroku, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Clarifai - The World's AI

Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.