VisiData is an interactive multitool for tabular data. It combines the clarity of a spreadsheet, the efficiency of the terminal, and the power of Python, into a lightweight utility which can handle millions of rows with ease.
Accepts many different data sources, from CSV files to PCAPs to HTML5 pages as long as you have the right Python modules installed. Analyzes and plots the data in a text terminal so you can explore it. Takes some playing around to learn how to use it.
HoloViews is an open-source Python library designed to make data analysis and visualization seamless and simple. With HoloViews, you can usually express what you want to do in very few lines of code, letting you focus on what you are trying to explore and convey, not on the process of plotting. Designed with Jupyter notebook-style data exploration primarily but it doesn't seem to b e a requirement.
A tool that automatically sets up a virtualenv, installs a Python package and all of its dependencies, and fires up a shell so you can play with it.
Visualization and exploration software for all kinds of graphs and networks. Map and explore data points and entities. Trace links between entities. Analyze graph data for patterns. Can be extended with plugins (https://gephi.org/plugins/).
Aleph is a tool for indexing large amounts of both documents (PDF, Word, HTML) and structured (CSV, XLS, SQL) data for easy browsing and search. It is built with investigative reporting as a primary use case. Aleph allows cross-referencing mentions of well-known entities (such as people and companies) against watchlists, e.g. from prior research or public datasets. Web-based search. Processing includes optical character recognition, language and encoding detection and named entity extraction. Load structured entity graph data from databases and CSV files. This allows navigation of complex datasets like companies registries, sanctions lists or procurement data.
Shaarli plugin to to show related links based on the number of identical tags.
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