anon VS iko.ai

Compare anon VS iko.ai and see what are their differences

Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured

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anon

Machine learning, automated

iko.ai

Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.

Landing page //
2022-02-07

Landing page //
2021-11-29

Anon reviewed by Mark Kermode

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Category Popularity

0-100% (relative to anon and iko.ai)

anon

iko.ai

47 47%

53% 53

Productivity

42 42%

Productivity

58% 58

Developer Tools

39 39%

Developer Tools

61% 61

Data Science And Machine Learning

100 100%

Data Science And Machine Learning

0% 0

User comments

Share your experience with using anon and iko.ai. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, iko.ai seems to be more popular. It has been mentiond 13 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.

anon mentions (0)

We have not tracked any mentions of anon yet. Tracking of anon recommendations started around May 2021.

iko.ai mentions (13)

How does Google Colab "work"
We built a fascinating platform, https://iko.ai, that allows you to train, track, package, deploy, and monitor machine learning models with real-time collaborative notebooks on your own Kubernetes clusters. Source: over 1 year ago
Stripe App Marketplace
Hi, Edwin. I'm in the process of integrating Stripe to https://iko.ai. I recently discovered Portal (https://stripe.com/docs/billing/subscriptions/integrating-customer-portal) and I thank you for that. Less code for me. I'm a bit ashamed to say, but I'm having trouble with checking if the customer has a valid subscription. I'm currently only storing the customer_id in the database and retrieving the information... - Source: Hacker News / almost 2 years ago
Lessons Learned from Running Apache Airflow at Scale
That was one the reasons we do "bring your own compute" with https://iko.ai so people who already have a billing account on AWS, GCP, Azure, DigitalOcean, can just get the config for their Kubernetes clusters and link them to iko.ai and their machine learning workloads will run on whichever cluster they select. If you get a good deal from one cloud provider, you can get started quickly. It's useful even for... - Source: Hacker News / almost 2 years ago
Are all startups chaos?
We built an internal platform to streamline this that allows us to train, package, deploy, and monitor models (very shameless plug for our product https://iko.ai that we started because I was tired of watching colleagues look from the window to see if their train was here because they had to come to the office to train their model on the "powerful machine" and they spent 6 hours in commute every day and at some... Source: almost 2 years ago
Juptyter Notebook Applications
We built https://iko.ai which offers real-time collaborative notebooks to train, track, package, deploy, and monitor machine learning models. Source: about 2 years ago