Directory
AI data and analytics covers tools that use machine learning to query, analyse or visualise data. Entries include analytics platforms, notebook environments, data-cleaning utilities, charting tools and assistants that help write queries or summarise results. Some are general business tools, and others are research projects applying AI to a specific kind of data. Before uploading anything, check where your data is stored, what export options exist and how the tool handles uncertainty. These tools often handle private information, so read the terms on the source first, and verify generated numbers against the original data.
VisPy is a high-performance interactive 2D/3D data visualization library that uses GPUs through OpenGL to display large datasets. It offers a Pythonic, NumPy-aware interface for OpenGL ES 2.0 called gloo and an experimental OpenGL backend for matplotlib. The project is described as young and under heavy development, with high-level plotting interfaces still experimental.
The visualizer is a tool developed by the cheminformatics department of the Swiss Federal Institute of Technology for rendering complex datasets. Its modules, placed on a browser page, display information as tables, charts, matrices or lists and interact through a central API of variables and actions. Visualization starts by passing three JSON file URLs in the browser address bar. It is released under the MIT license.
WhatSTheBigData applies AI to data analysis, extraction, visualization, or business intelligence.
An article comparing Topological Data Analysis results with those from t-SNE and UMAP packages. It discusses advantages of TDA coupled with self-supervised learning and covers case studies in IoT, image analysis and text analysis, plus open-source libraries for starting with TDA.
The windML framework provides access to wind data sources within Python, building upon numpy, scipy, sklearn and matplotlib. It relates to renewable wind energy forecasting and prediction. The package is currently not maintained, though a deprecated branch is available.
Yona.ai is an internet content curation service. It addresses information overload by delivering high-quality content tailored to users' personal goals and interests, with the aim of turning screen time into opportunities for personal growth, productivity, and well-being. The service currently has a waitlist for new users.
Zeno is an AI Data Management & Evaluation Platform. Its associated GitHub repository is deprecated and no longer actively maintained, with development of the project having shifted to the ZenoHub platform.
Zetane Viewer is a free tool for visualizing machine learning and artificial neural network models, including architecture and internal data such as feature maps, weights, biases and layer output tensors. The viewer supports .ONNX and .ZTN files and is available for Windows, Linux and Mac. It can also be launched from existing scripts or notebooks via the Zetane Python API.
ZingChart is a dependency-free pure JavaScript charting library for data visualization. It includes over 50 built-in chart types and modules, uses simple JSON configuration, and offers integrations with popular JavaScript frameworks including React, Angular, and Vue.
Zipline is a Pythonic algorithmic trading library and an event-driven system for backtesting. It is described as used in production as the backtesting and live-trading engine powering Quantopian. Historical data input and performance statistics output are based on Pandas DataFrames. Zipline supports Python 2.7, 3.5 and 3.6 and may be installed via pip or conda.
