Analyser
Analyser
Download on App Store

This page is not an official page of the app or its developer, but an independent editorial publication created for informational and commentary purposes. Unless expressly stated otherwise, neither the app nor its developer is affiliated with, endorsed by, sponsored by, authorized by, or otherwise officially connected with MWM, Apple, Google Play, the app publisher, or the app's developer, and nothing on this page implies that the app was developed using MWM's services. Any trademarks, logos, screenshots, and other content remain the property of their respective owners.

Logo of Analyser
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Analyser

Harness the power of TensorFlow, Pandas, and Scikit-learn without your laptop. Prototype, code, and visualize complex datasets offline with a professional-grade Python environment designed for the mobile power user.

Key Figures

Downloads

4K+

User Rating

2.4/5

Total Ratings

0

Publisher

友辉 严

Category

Productivity

Locales

3

Latest Version

6.15

Size

2.5 GB

First Released

Mar 2, 2016
Features

Your Portable Data Science Lab

Leverage a full suite of Python libraries like TensorFlow and Pandas to build, train, and visualize models directly on your iPad or iPhone.

Pre-loaded ML Ecosystem

Skip the complex setup with built-in support for NumPy, SciPy, Scikit-learn, and OpenCV right out of the box.

Instant Visual Insights

Move beyond the terminal with visual analysis tools that turn raw data into intuitive statistical models and graphs.

FAQ

Frequently Asked Questions

Everything you need to know about Analyser

What is Analyser?

Analyser is a visual machine learning and statistical analysis tool based on Python. It also includes a simple Python source code editor for development.

What Python packages does Analyser include?

Analyser includes popular Python packages such as Numpy, Spicy, Tensorflow, scikit-learn, pandas, statsmodels, opencv, and scikit-image for various analyses.

Does Analyser support visual machine learning workflows?

Yes, Analyser supports visual machine learning workflows. Users can design and execute models like Keras Sequential Models using a graphical interface.

The following screenshots and description are sourced directly from the app's official store listing and are the property of the app developer.

App Store

Screenshots

Analyser - Main menu screen of the Analyser app featuring Diagram and Program navigation buttons for visual machine learning.

Main menu screen of the Analyser app featuring Diagram and Program navigation buttons for visual machine learning.

Analyser - A visual machine learning workflow in the Analyser app showing steps for model training and evaluation

A visual machine learning workflow in the Analyser app showing steps for model training and evaluation

Analyser - Visual machine learning workflow for training a Keras model in the Analyser app.

Visual machine learning workflow for training a Keras model in the Analyser app.

Analyser - The Analyser mobile app showing a Python script for feature agglomeration and a visual comparison of original and processed digit data.

The Analyser mobile app showing a Python script for feature agglomeration and a visual comparison of original and processed digit data.

Analyser - Python code editor displaying machine learning classification probability charts

Python code editor displaying machine learning classification probability charts

Description

A visual machine learning/statistical analysis tool based on Python, also includes a simple Python source code editor. includes popular packages: Numpy, Spicy, Tensorflow, scikit-learn, pandas, statsmodels, opencv, scikit-image, ...

Download

Download on App Store

This page is not an official page of the app or its developer, but an independent editorial publication created for informational and commentary purposes. Unless expressly stated otherwise, neither the app nor its developer is affiliated with, endorsed by, sponsored by, authorized by, or otherwise officially connected with MWM, Apple, Google Play, the app publisher, or the app's developer, and nothing on this page implies that the app was developed using MWM's services. Any trademarks, logos, screenshots, and other content remain the property of their respective owners.