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BugSnag VS TFlearn

Compare BugSnag VS TFlearn and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

BugSnag logo BugSnag

Not all bugs are worth fixing. Prioritize and fix software bugs that matter while improving software stability with every release.

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
  • BugSnag Landing page
    Landing page //
    2023-08-05

Bugsnag monitors application stability so you can make data-driven decisions on whether you should be building new features or fixing bugs.

We are a full stack stability management solution with best-in-class functionality for mobile applications.

Not present

BugSnag

Website
bugsnag.com
Pricing URL
Official BugSnag Pricing
$ Details
freemium
Platforms
iOS Android JavaScript PHP Java Python C++ .Net Ruby Swift Laravel Go
Release Date
2012 September
Edit details

TFlearn

Website
tflearn.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

BugSnag videos

+ Add

Bug Tracking in Laravel: Bugsnag vs Flare [Demo/Review]

More videos:

  • Review - Detect and diagnose errors with Bugsnag
  • Review - 3 Reasons to Use Tools Like Bugsnag

TFlearn videos

+ Add

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

Category Popularity

0-100% (relative to BugSnag and TFlearn)

BugSnag

TFlearn

Error Tracking
100 100%
Error Tracking
0% 0
OCR
0 0%
OCR
100% 100
Exception Monitoring
100 100%
Exception Monitoring
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using BugSnag and TFlearn. For example, how are they different and which one is better?
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Reviews

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

BugSnag Reviews

  1. Works as expected

    I've been using BugSnag for several years now in multiple projects. The integration with Ruby on Rails is seamless and flawless, and I've never experienced a single issues.

    🏁 Competitors: Rollbar
    👍 Pros:    Clean ui|Easy to use
6 Bugsnag Alternatives to Consider in 2021
Bugsnag is a famous error monitoring tool used for the same purpose. It is renowned for its ability to track down your application’s health against a laid down goal and notify you when you are off the roadmap. However, it has its drawbacks too. This is why customers often end up looking for Bugsnag alternatives. Fortunately, there are plenty of Bugsnag alternatives available...
Source: scoutapm.com

TFlearn Reviews

We have no reviews of TFlearn yet.
Be the first one to post

Social recommendations and mentions

TFlearn might be a bit more popular than BugSnag. We know about 2 links to it since March 2021 and only 2 links to BugSnag. 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.

BugSnag mentions (2)

  • Ask HN: Who is hiring? (February 2022)
    Bugsnag (SmartBear) | Android SDK Engineer | Full time | Onsite (Bath, UK) or Remote (UK) | https://bugsnag.com/ Cross platform crash-reporting and application stability dashboard. We're looking for an experienced Android engineer to join our open source team and help maintain our Android SDKs - used by engineering teams worldwide including some of the biggest names in tech. Work with a team of diversely-skilled... - Source: Hacker News / over 2 years ago
  • Self-hosted Standard Notes contacting many servers including Google on iOS
    Bugsnag.com btw is contacted if Error Reporting is enabled. Feel free to disable that. Source: over 2 years ago

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 / over 3 years ago

What are some alternatives?

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

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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

Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.

Clarifai - The World's AI

AirBrake - Airbrake is the leading exception reporting service, currently providing error tracking.

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.

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