Top 5 Open-Source Alternatives to Continual

Continual

Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.

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AI Data Science And Machine Learning Data Science Tools Developer Tools IDE Languages Machine Learning NLP And Text Analytics Productivity Translation Service

Summary

The top open-source alternatives to Continual are Lobe, TensorFlow, and Python Package Index. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.

Lobe Landing Page
1

Lobe

Visual tool for building custom deep learning models
Pricing:
- Open Source
#AI #Data Science And Machine Learning #Developer Tools 15 social mentions
TensorFlow Landing Page
2

TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Pricing:
- Open Source
#Data Science And Machine Learning #Data Science Tools #Machine Learning 7 social mentions
Python Package Index Landing Page
3

Python Package Index

A repository of software for the Python programming language
Pricing:
- Open Source
#Translation Service #Languages #Productivity 70 social mentions
OpenAI Landing Page
4

OpenAI

GPT-3 access without the wait
Pricing:
- Open Source
#Productivity #Developer Tools #IDE 303 social mentions
Efemarai Landing Page
5

Efemarai

Easily test and debug your ML models
Pricing:
- Open Source
#Developer Tools #AI #Machine Learning 1 social mentions