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Apple Machine Learning Journal VS LinearB

Compare Apple Machine Learning Journal VS LinearB and see what are their differences

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Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers

LinearB logo LinearB

LinearB delivers software leaders the insights they need to make their engineering teams better through a real-time SaaS platform. Visibility into key metrics paired with automated improvement actions enables software leaders to deliver more.
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13
  • LinearB Landing page
    Landing page //
    2023-08-19

Category Popularity

0-100% (relative to Apple Machine Learning Journal and LinearB)

Apple Machine Learning Journal

LinearB

AI
100 100%
AI
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Predictive Analytics
0 0%
Predictive Analytics
100% 100

User comments

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Social recommendations and mentions

Based on our record, LinearB should be more popular than Apple Machine Learning Journal. It has been mentiond 26 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.

Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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LinearB mentions (26)

  • 🦊 GitLab: A Python Script Calculating DORA Metrics
    LinearB is a SaaS solution that retrieves metrics overtime, some of them being used to calculate DORA Metrics. They also have a Youtube channel that advocate for DORA Metrics and more. - Source: dev.to / 4 months ago
  • 6 Proven Strategies For Being A Great Platform Engineer
    In helping engineering orgs get visibility into developer workflows with LinearB, Dan Lines and Ori Keren discovered that the majority of cycle time was being spent in pull request and code review. They found that:. - Source: dev.to / 11 months ago
  • How to consolidate metrics from across the entire organisation
    LinearB and there are a few cheaper alternatives. Ties in DORA metrics from gut repos and agile project management tools like JIRA. https://linearb.io. Source: about 1 year ago
  • Measure Performance and Engagement Meaningfully
    You can also try these alternatives - LinearB, Jellyfish. Source: about 1 year ago
  • 'Software Engineering Dashboards: Types, Risks, and Future' by Margaret-Anne Storey & Christoph Treude
    Some recommended dashboard tools that you can try: Jellyfish, Typo, LinearB. Source: about 1 year ago
View more

What are some alternatives?

When comparing Apple Machine Learning Journal and LinearB, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

GitPrime - GitPrime uses data from any Git based code repository to give management the software engineering metrics needed to move faster and optimize work patterns.

Lobe - Visual tool for building custom deep learning models

Swarmia - Swarmia is an engineering productivity software trusted by 600+ engineering teams worldwide. Use key engineering metrics to unblock the flow, align engineering with business objectives, and drive continuous improvement.

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