Software Alternatives, Accelerators & Startups

Algorithmia VS SFOX

Compare Algorithmia VS SFOX and see what are their differences

Algorithmia logo Algorithmia

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

SFOX logo SFOX

Algorithmic bitcoin trading: Safe & Smart
  • Algorithmia Landing page
    Landing page //
    2023-09-14
  • SFOX Landing page
    Landing page //
    2023-07-24

Algorithmia

$ Details
Release Date
2014 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Diego Oppenheimer
Employees
10 - 19

SFOX

Website
sfox.com
$ Details
-
Release Date
2014 January
Startup details
Country
United States
State
California
Founder(s)
Akbar Thobhani
Employees
10 - 19

Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

SFOX videos

NYSE Floor Talk: Akbar Thobani, Co-Founder & CEO, sFOX

Category Popularity

0-100% (relative to Algorithmia and SFOX)
Data Science And Machine Learning
Tech
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Crypto
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Algorithmia seems to be more popular. It has been mentiond 5 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.

Algorithmia mentions (5)

SFOX mentions (0)

We have not tracked any mentions of SFOX yet. Tracking of SFOX recommendations started around Mar 2021.

What are some alternatives?

When comparing Algorithmia and SFOX, you can also consider the following products

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Quantiacs - Earn money by creating trading algorithms in your spare time

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Signals Network - trader to data scientist

MCenter - Machine Learning Operationalization

BestFit: Gym Workout & Fitness - The app provides individual training plans with an algorithm