Software Alternatives, Accelerators & Startups

BigML VS BugHerd

Compare BigML VS BugHerd and see what are their differences

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BigML logo BigML

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

BugHerd logo BugHerd

BugHerd: The Website Feedback Tool for Agencies
  • BigML Landing page
    Landing page //
    2022-10-08
  • BugHerd Landing page
    Landing page //
    2022-06-09

BugHerd is the world's leading website feedback and bug-tracking tool. Globally, thousands of leading agencies and marketing teams love it for the ease and collaboration it brings to their website projects.

BugHerd has revolutionised the way agencies collect and manage website feedback from clients and internal teams. It is perfect for teams and individuals involved in website design and development. With BugHerd you can easily pin feedback directly to specific elements of the web pages. It acts as a transparent layer on the website that is visible only to you and your team. Submitted feedback and bugs are sent to a central Kanban task board that provides all stakeholders with full visibility of the project.

Get started in 3 easy steps:

STEP 1

Go to bugherd.com and click Start 14-day Free trial.ย 

STEP 2

Sign up to create your first project. You can test BugHerd out on any website. It will only be visible to you.

STEP 3

And voila! You can start collecting feedback and invite others to try it out with you. Itโ€™s that simple.

BugHerd

$ Details
paid Free Trial $39.0 / Monthly (5 Users, 10 GB Data Storage)
Platforms
Browser Windows Web Google Chrome Mac OSX Firefox
Release Date
2010 January

BigML features and specs

  • User-Friendly Interface
    BigML offers an intuitive web-based interface that makes it easy for users to build and deploy machine learning models without deep technical knowledge.
  • Wide Range of Algorithms
    It supports various machine learning algorithms, including regression, classification, clustering, and anomaly detection, catering to diverse use cases.
  • Ease of Integration
    BigML provides robust API support, allowing seamless integration with other applications and systems for streamlined workflows.
  • Visualization Tools
    The platform includes powerful visualization tools that help in understanding data, model performance, and results, aiding in better decision-making.
  • Scalability
    BigML's cloud-based infrastructure allows it to scale easily, handling large datasets and complex models efficiently.
  • Automated Workflows
    It offers automation features like WhizzML for creating automated workflows and advanced scripts, making repetitive tasks simpler.

Possible disadvantages of BigML

  • Cost
    The pricing structure can be a limiting factor for startups or individual users, especially when dealing with large amounts of data.
  • Limited Customization
    While the platform offers many pre-built algorithms, there is limited scope for customization compared to building models from scratch using open-source libraries.
  • Learning Curve
    Despite its user-friendly design, there can be a learning curve for those unfamiliar with machine learning concepts, particularly for advanced features.
  • Dependency on Internet
    As a cloud-based service, users need a reliable internet connection to access and utilize BigML's features, which can be a drawback in areas with poor connectivity.
  • Data Privacy Concerns
    Using a cloud-based service can raise data privacy and security concerns, particularly for sensitive or proprietary data.

BugHerd features and specs

  • Audit Trail
  • Backlog Management
  • Task management
  • Ticket management
  • Workflow Management
  • Collaboration Tools
  • Task Board View
  • To Do List View
  • Easy Set Up
  • Guest Feedback
  • Feedback & Commenting
  • Feedback widget
  • Capture Metadata
  • Integrations
  • Annotations
  • Public Feedback
  • Unlimited Guests
  • Real Time Commenting
  • Kanban board
  • Triarge Feedback
  • API Support

Analysis of BigML

Overall verdict

  • BigML is a good choice for users seeking an accessible and efficient machine learning platform. Its combination of ease of use, flexibility, and robust features allows for effective data analysis and model deployment, making it suitable for many use cases.

Why this product is good

  • BigML is a popular machine learning platform known for its user-friendly interface and comprehensive suite of tools that cater to both beginners and experts. It offers a wide range of machine learning models and allows for seamless integration with other tools and workflows. Users appreciate its ease of use, scalability, and ability to handle various types of data. Additionally, BigML provides extensive documentation and support, making it an attractive option for those looking to implement machine learning solutions without extensive coding knowledge.

Recommended for

  • Data scientists and analysts looking for an intuitive platform to build and deploy models.
  • Businesses aiming to integrate machine learning into their operations without a steep learning curve.
  • Educators and students who wish to explore machine learning concepts hands-on.
  • Developers needing a scalable solution with ample API support for custom applications.
  • Organizations looking for a reliable and secure cloud-based machine learning solution.

Analysis of BugHerd

Overall verdict

  • Overall, BugHerd is a robust and effective tool for teams looking to improve their bug tracking and feedback processes, particularly for web development projects. It is generally well-received by users who appreciate its simplicity and the efficiency it brings to the feedback process.

Why this product is good

  • BugHerd is a popular tool for managing website feedback and bug tracking. It provides an intuitive interface that allows users to pin feedback directly on a website, making the process of reporting issues very visual and straightforward. This can significantly streamline communication between developers, designers, and clients, reducing the back-and-forth often associated with bug reporting and feedback loops.

Recommended for

    BugHerd is particularly recommended for web development teams, digital agencies, and product managers who are responsible for maintaining and improving websites. It is also a great fit for teams who work closely with clients and require an easy way to collect and manage client feedback directly in the context of the website in question.

BigML videos

BigML is Machine Learning for Everyone

More videos:

  • Review - BigML Spring 2016 Webinar - WhizzML!

BugHerd videos

Looking For Bug Tracking Software? Bugherd Review + Tutorial

More videos:

  • Review - What is BugHerd?
  • Tutorial - BugHerd Tutorial
  • Review - BugHerd: Visual Feedback Tool for Websites
  • Tutorial - Take a look at BugHerd

Category Popularity

0-100% (relative to BigML and BugHerd)
Data Science And Machine Learning
Visual Bug Reports
0 0%
100% 100
Technical Computing
100 100%
0% 0
Bug Reporting
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 BigML and BugHerd

BigML Reviews

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

BugHerd Reviews

30 Best Customer Feedback Survey Tools: An Overview | Mopinion
Bugherd is primarily an issue tracking and project management tool for developers and designers. However, this tool also has an in-page feedback option, which allows customers to report bugs straight from the website. The visual task board makes it easy to manage, assign and prioritise tasks quickly. Bugherd can also be integrated with several apps like zapier, slack and...
Source: mopinion.com
Top 17 Best Bug Tracking Tools: an overview 19 Jun 2017
BugHerd is a web-based issue tracking project management tool. Intended for developers and designers, issues are organised around four lists: Backlog, To Do, Doing and Done โ€“ enabling teams to keep up with the status of various tasks. The tool captures a screenshot of the issue including the exact HTML element being annotated. Already have a tool such as Redmine or Pivotal...
Source: mopinion.com
Top 10 Bug Tracking Tools for Web Developers and Designers
BugHerd toolbar is intuitively designed to be like a Kanban Board and can register all kinds of prioritized issues including screenshots. It enables web developers to identify the bugs directly through entering the website URL in BugHerd toolbar. It is extremely easy to access and also contains all the technical documentations for resolving bugs clinically.
Bug Tracker Needed? Here 6 Best Bug Tracking Software to Use
So, the main difference is that this is already a specialized bug tracker. Using GitHub you should always manually include any related information such as a concrete page on which the bug was found, screen resolution, the operating system, etc., then with Bugherd this meta information is tracked and added automatically.
Source: everhour.com

Social recommendations and mentions

Based on our record, BugHerd should be more popular than BigML. It has been mentiond 5 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.

BigML mentions (2)

  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Bigml.com โ€” Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / about 5 years ago
  • Theory: The price action was intentionally manipulated to prevent any AI from being able to predict it. First time this model shows as flat. Forever.
    They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: about 5 years ago

BugHerd mentions (5)

What are some alternatives?

When comparing BigML and BugHerd, you can also consider the following products

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Marker.io - Visual feedback and bug reporting tool for websites

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Usersnap - Usersnap is a customer feedback software for SaaS companies that need to constantly improve and grow their products.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

Userback - Userback empowers product teams to collect, understand, and act on user feedback with unprecedented speed and clarity.