Haystack Analytics
GitPrime
Waydev
LinearB
Teamplify
Code Climate Velocity
Gitential
CodeClimate
Amazon Machine Learning
Machine Learning Playground
Lobe
Apple Machine Learning Journal
ML5.js
TensorFlow
Google Cloud Machine Learning
mlblocks
Ship faster and improve team satisfaction with engineering analytics powered by your Github data. Analyze pull requests on the team level and get “northstar” metrics like cycle time, deployment frequency, and change failure rate to help you improve delivery. Quickly find bottlenecks like code review, experiment with changes like smaller pull requests or automated tests, and see the result.
Haystack Analytics Amazon Machine LearningAmazon Machine Learning might be a bit more popular than Haystack Analytics. We know about 2 links to it since March 2021 and only 2 links to Haystack Analytics. 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.
Heads up: site is not loading. Ios Safari & macOS Chrome. Mixed Content: The page at 'https://usehaystack.io/' was loaded over HTTPS, but requested an insecure favicon 'http://www.usehaystack.io/favicon.ico'. This request has been blocked; the content must be served over HTTPS. - Source: Hacker News / over 3 years ago
Hey HN! I'm Julian, co-founder of Haystack (https://usehaystack.io). We’re building one-click dashboards and alerts using Github data. While managing teams from startups to more established companies like Cloudflare, my cofounder Kan and I were constantly trying to improve our team and process. But it was pretty tough to tell if our efforts were paying off. Even tougher to tell where we could improve. We tried... - Source: Hacker News / over 3 years ago
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago
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.
Machine Learning Playground - Breathtaking visuals for learning ML techniques.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Lobe - Visual tool for building custom deep learning models
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 - A blog written by Apple engineers
