Software Alternatives, Accelerators & Startups

Noction Flow Analyzer (NFA) VS iko.ai

Compare Noction Flow Analyzer (NFA) VS iko.ai and see what are their differences

Noction Flow Analyzer (NFA) logo Noction Flow Analyzer (NFA)

Powerful, Feature-rich, Affordable in-depth traffic analysis system, built with network engineers in mind.

iko.ai logo iko.ai

Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.
  • Noction Flow Analyzer (NFA) Landing page
    Landing page //
    2022-02-14
  • iko.ai Landing page
    Landing page //
    2021-11-29

Category Popularity

0-100% (relative to Noction Flow Analyzer (NFA) and iko.ai)
Customer Support
100 100%
0% 0
AI
0 0%
100% 100
Network & Admin
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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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.

Noction Flow Analyzer (NFA) mentions (0)

We have not tracked any mentions of Noction Flow Analyzer (NFA) yet. Tracking of Noction Flow Analyzer (NFA) recommendations started around Mar 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: almost 2 years 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: about 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: over 2 years ago
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What are some alternatives?

When comparing Noction Flow Analyzer (NFA) and iko.ai, you can also consider the following products

SolarWinds Orion Platform - SolarWinds Orion Platform is an infrastructure monitoring and management solution that has been designed to streamline and manage the composite and physically dispersed IT infrastructure.

Censius.ai - Building the future of MLOps

N-able Backup - Backing up your data and data protection has never gotten easier.

JarvisLabs.ai - Let's make AI simple

The Galileo Suite - The Galileo Suite is an IT network and data management platform that offers solutions like operational intelligence, performance monitoring, data security, predictive analysis, etc.

Evidently AI - Open-source monitoring for machine learning models