DataLine is an AI data analysis and visualization tool that lets users chat with their data to generate tables, charts, and dashboards. The page describes it as suited to non-technical people querying data and to developers seeking a text2sql solution.
Bricks is an AI-powered workspace for organizing data, building dashboards, creating slides, and collaborating. It generates interactive dashboards from CSV and Excel data, and its documentation lists spreadsheets, live-updating dashboards, slides, and real-time collaboration.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
The Journal of Data Science is an academic journal listing featured articles, news, and calls for contributions. Featured articles include items on causal inference, reinforcement learning, and AI for science, each with a DOI and online publication date. The page also lists special issue calls for contributions and most-read articles.
Data Science Weekly is a free weekly data science newsletter published by DATAYOU, LLC. It delivers curated data science news, articles, job listings, tutorials, and learning resources to subscribers every Thursday. The service also maintains an archive of past newsletter issues and offers additional data science guides and course materials on its website.
Count is a collaborative platform for AI-powered analytics and research that requires explanations for AI-generated answers. Users work with data, files and tools to build canvases containing maps, charts and reports, with comments and tagging for teammates. A free tier includes one project, three canvases, up to five users and daily AI credit limits; the Pro plan costs $49 per editor per month with viewers free.
Community notes
Be the first to share how this project worked for you.
Sign in with a verified account to leave a review or join the discussion.
Sign in to reviewKeep exploring
Bricks is an AI-powered workspace for organizing data, building dashboards, creating slides, and collaborating. It generates interactive dashboards from CSV and Excel data, and its documentation lists spreadsheets, live-updating dashboards, slides, and real-time collaboration.
Beautiful Soup is a Python library for pulling data out of HTML and XML files. It provides simple methods and Pythonic idioms for navigating, searching, and modifying a parse tree, and it works with parsers such as lxml and html5lib. The project has been used for screen-scraping work since 2004.
A Java scientific and numerical library written by Michael Thomas Flanagan to support his research and undergraduate programming courses. It is distributed as the flanagan.jar package and includes general classes, example programs and arbitrary precision methods. The author has retired and states it will be updated less frequently. Commercial use, public listing of source codes and redistribution are not permitted.
The Journal of Data Science is an academic journal listing featured articles, news, and calls for contributions. Featured articles include items on causal inference, reinforcement learning, and AI for science, each with a DOI and online publication date. The page also lists special issue calls for contributions and most-read articles.
Data Science Weekly is a free weekly data science newsletter published by DATAYOU, LLC. It delivers curated data science news, articles, job listings, tutorials, and learning resources to subscribers every Thursday. The service also maintains an archive of past newsletter issues and offers additional data science guides and course materials on its website.
Count is a collaborative platform for AI-powered analytics and research that requires explanations for AI-generated answers. Users work with data, files and tools to build canvases containing maps, charts and reports, with comments and tagging for teammates. A free tier includes one project, three canvases, up to five users and daily AI credit limits; the Pro plan costs $49 per editor per month with viewers free.
