Software Alternatives & Reviews

Nanonets VS Dataiku

Compare Nanonets VS Dataiku and see what are their differences

Nanonets logo Nanonets

Worlds best image recognition, object detection and OCR APIs. NanoNets’ platform makes it straightforward and fast to create highly accurate Deep Learning models.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Nanonets Landing page
    Landing page //
    2023-10-23

NanoNets is a Deep Learning web platform that makes it easier than ever before to use Deep Learning in practical applications. It combines the convenience of a web-based platform with Deep Learning models to create image recognition and object classification applications for your business. You can easily build and integrate deep learning models using NanoNets’ API. You can also work with our pre-trained models which have been trained on huge datasets and return accurate results. NanoNets has leveraged recent advances in Deep Learning to build rich representations of data which are transferable across tasks. It’s as simple as uploading your input, generating the output and getting a functioning and highly accurate Deep Learning model for your AI needs. NanoNets is revolutionary because it allows you to train models without large datasets. With just 100 images you can train a model on our platform to detect features and classify images with a high degree of accuracy. NanoNets benefits you in four important ways: ● It reduces the amount of data needed to build a Deep Learning Model ● NanoNets handles the infrastructure for hosting and training the model, and for the run time ● It reduces the cost of running deep learning models by sharing infrastructure across models ● It is possible for anyone to build a deep learning model

  • Dataiku Landing page
    Landing page //
    2023-08-17

Nanonets

$ Details
freemium
Platforms
Browser REST API Docker Cross Platform Python JavaScript Java PHP Go C++
Release Date
2017 January

Nanonets videos

Nanonets Airtable Walkthrough

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to Nanonets and Dataiku)
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Tools
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 Nanonets and Dataiku

Nanonets Reviews

7 Best OCR Software of 2022 (Free and PAID)
Nanonets use artificial intelligence to extract data from documents without any human intervention. It is designed to be easy to use and accurate and can handle a variety of different languages.
The best alternatives to Abbyy FineReader
Top five alternatives to Abbyy FineReader PDF1. Klippa DocHorizonPros of Klippa DocHorizonConsKlippa DocHorizon is used in industries such asKlippa DocHorizon offers you data extraction for multiple file types such asPricing2. VeryfiPros of VeryfiConsVeryfi is used in industries such asVeryfi’s OCR software offers data extraction for multiple file types such asPricing3....
Source: www.klippa.com

Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

Social recommendations and mentions

Based on our record, Nanonets seems to be more popular. It has been mentiond 6 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.

Nanonets mentions (6)

  • Healthcare Automation Can Improve Patient Engagement
    Want to automate repetitive manual tasks? Check our Nanonets workflow-based document processing software. Source: almost 2 years ago
  • Document Automation for Probate
    Nanonets is a no-code, workflow-based, and AI-enhanced intelligent document processing platform. It automates all document processes and is built on a robust, intelligent, self-learning OCR API that allows users to extract required data from documents in minutes. Source: almost 2 years ago
  • Promote your business, week of May 16, 2022
    Check out our website here https://nanonets.com/ for more. We also have some free tools where you can experience our product for free (like https://nanonets.com/online-ocr). Source: almost 2 years ago
  • How would you annotate resumes for object detection?
    Here is another company, which I just came across by accident, which do the same: https://nanonets.com/. Source: about 2 years ago
  • Automate Exam Research with Django, Nanonets and Google Search API
    We will be using Python3.6+, Django web framework, Nanonets for character extraction from an image, Cloudinary for image storage and Google Search API for performing the searches. - Source: dev.to / over 2 years ago
View more

Dataiku mentions (0)

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

What are some alternatives?

When comparing Nanonets and Dataiku, you can also consider the following products

Docsumo - Extract Data from Unstructured Documents - Easily. Efficiently. Accurately.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

DocParser - Extract data from PDF files & automate your workflow with our reliable document parsing software. Convert PDF files to Excel, JSON or update apps with webhooks.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Amazon Textract - Easily extract text and data from virtually any document using Amazon Textract. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.

NumPy - NumPy is the fundamental package for scientific computing with Python