Software Alternatives & Reviews

Recollectr VS Amazon Machine Learning

Compare Recollectr VS Amazon Machine Learning and see what are their differences

Recollectr logo Recollectr

Minimally disruptive, maximally efficient note-taking — record and recall without breaking your flow.

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Recollectr Landing page
    Landing page //
    2018-09-29

Notetaking without distractions or delays — Search & Create Omnibox — WYSIWYG Markdown — Natural Language Reminders — Customizable Global Hotkey.

  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Recollectr

$ Details
freemium $24.0 / Annually
Platforms
Windows Linux Mac OSX Android iOS
Release Date
2018 May

Recollectr features and specs

  • Notes: Yes
  • Reminders: Yes
  • Natural Language Understanding: For reminder setting (English only)
  • Notifications: Yes
  • Knowledge Base: Interlinkable notes
  • Hashtag collections: Yes
  • Checklists: Yes

Amazon Machine Learning features and specs

No features have been listed yet.

Recollectr videos

A very old video of our very first public version

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to Recollectr and Amazon Machine Learning)
Note Taking
100 100%
0% 0
AI
0 0%
100% 100
Task Management
100 100%
0% 0
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Recollectr should be more popular than Amazon Machine Learning. It has been mentiond 6 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.

Recollectr mentions (6)

  • If you could pick only ONE productivity app to use for the rest of your life, what would it be?
    Been there myself! For one you may not have heard of, check out Recollectr. Source: 12 months ago
  • I landed a lead role, and I'm freaking out
    Perhaps I'm biased as the creator, but as someone who also has ADHD, Obsidian seems overwhelming. I'm the creator of Recollectr which has a lot of the same functionality built into a much more streamlined UI. Source: over 1 year ago
  • What is your productivity tech stack?
    I wasn't satisfied with Standard Notes either; so how about Recollectr? Source: almost 2 years ago
  • Tips for remembering what I just did?
    I've spent the past few years making Recollectr, a desktop-first note-taking app to help you, "Record and recall without breaking your flow.". Source: almost 2 years ago
  • Version 3.16.198 zip export gives all zero length notes.
    We just pushed the new version (3.16.199) out via the auto-updater; it's also available on https://recollectr.io too. Source: almost 2 years ago
View more

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    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: over 1 year ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago

What are some alternatives?

When comparing Recollectr and Amazon Machine Learning, you can also consider the following products

Left - A minimalist multi-platform text editor

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Amie - GitHub for research and data science

Lobe - Visual tool for building custom deep learning models

Agenda - A date-focused note taking app for both planning and documenting your projects.

Apple Machine Learning Journal - A blog written by Apple engineers