Software Alternatives, Accelerators & Startups

Algorithmia VS Codefield

Compare Algorithmia VS Codefield 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.

Codefield logo Codefield

Tools for developers, designers and photographers
  • Algorithmia Landing page
    Landing page //
    2023-09-14
  • Codefield Landing page
    Landing page //
    2022-01-13

Algorithmia

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

Codefield videos

No Codefield videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Algorithmia and Codefield)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Productivity
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)

Codefield mentions (0)

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

What are some alternatives?

When comparing Algorithmia and Codefield, 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.

Chrome Developer Tool - Develop and Debug Chrome Apps & Extensions. By Google

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.

Spaceship ZSH - Powerful, customizable Zsh prompt, your own spaceship 🚀

MCenter - Machine Learning Operationalization

GitHub Student Developer Pack - The best developer tools, free for students.