Software Alternatives & Reviews

monkeylearn VS Dokku

Compare monkeylearn VS Dokku and see what are their differences

monkeylearn logo monkeylearn

Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.

Dokku logo Dokku

Docker powered mini-Heroku in around 100 lines of Bash
  • monkeylearn Landing page
    Landing page //
    2022-04-02
  • Dokku Landing page
    Landing page //
    2023-07-24

monkeylearn videos

Analyzing Customer Reviews with MonkeyLearn and RapidMiner

More videos:

  • Review - Webinar - Introduction to MonkeyLearn
  • Review - Making a Custom Text Classifier with MonkeyLearn

Dokku videos

00028 Creating Your Own PaaS with Dokku

Category Popularity

0-100% (relative to monkeylearn and Dokku)
NLP And Text Analytics
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Natural Language Processing
Cloud Hosting
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare monkeylearn and Dokku

monkeylearn Reviews

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Dokku Reviews

35+ Of The Best CI/CD Tools: Organized By Category
Dokku is a great alternative if you’re working with a stringent budget. It’s a miniaturized self-hosted platform as a service. You can deploy applications to it using Git. Because it’s a Heroku derivative, it’s compatible with Heroku apps.
Heroku vs self-hosted PaaS
CapRover is in many ways similar to Dokku. It uses Docker for deployment just like Dokku but CapRover does not support buildpack deployments as it uses Dockerfiles only. This is not necessarily a bad thing since Dockerfile deployments are great in Dokku as well. You don’t have to write your own dockerfiles however for simple deployments as there are multiple defaults for...
Source: www.mskog.com

Social recommendations and mentions

Dokku might be a bit more popular than monkeylearn. We know about 12 links to it since March 2021 and only 11 links to monkeylearn. 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.

monkeylearn mentions (11)

  • Best AI SEO Tools for NLP Content Optimization
    MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 5 months ago
  • free-for.dev
    Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
  • [D] What are the best SaaS APIs for non-English NLP tasks?
    MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic).  But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
  • Word Cloud From This Sub [OC]
    R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
  • Can I use Google Search Console to look at queries and improve my blog posts?
    Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: almost 2 years ago
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Dokku mentions (12)

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What are some alternatives?

When comparing monkeylearn and Dokku, you can also consider the following products

Amazon Comprehend - Discover insights and relationships in text

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

Google Cloud Natural Language API - Natural language API using Google machine learning

Google Cloud Functions - A serverless platform for building event-based microservices.