kraken VS robin

Compare kraken vs robin and see what are their differences.

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kraken robin
2 1
643 169
- -
9.1 0.0
5 days ago almost 2 years ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

kraken

Posts with mentions or reviews of kraken. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-15.

robin

Posts with mentions or reviews of robin. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing kraken and robin you can also consider the following projects:

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Single-Image-Dehazing-Python - python implementation of the paper: "Efficient Image Dehazing with Boundary Constraint and Contextual Regularization"

tesseract-ocr - Tesseract Open Source OCR Engine (main repository)

handprint - Apply different text recognition services to images of handwritten documents.

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁

benchmarks - Public dataset benchmarks used for measuring the performance of MindsDB.

open-mcr - :pencil: Exam bubble sheet scorer. Created with OpenCV and Python.

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

igel - a delightful machine learning tool that allows you to train, test, and use models without writing code

pandora - Pandora is an analysis framework to discover if a file is suspicious and conveniently show the results