Data News is a Tumblr blog with information, data and behind-the-scenes details from the WNYC Data News Team. Posts describe data projects, including a judicial election tool and a town hall tracker.
Directory
AI Data & Analytics
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.
Collect, clean and visualize your data in Python.
A blog documenting a self-designed open source data science master's program. Posts cover a six-month plan to become a data scientist, study examples after one month, MOOCs versus classroom learning, and a final project using the D3.js library to present what was learned.
Analyzes structured data and helps produce queries, insights or visualizations.
DataTalks.Club - the place to talk about data!
DataTalks.Club is an online community for data science professionals, ML engineers and AI practitioners. It offers free courses, weekly podcasts, webinars, workshops and book discussions, along with articles, a Slack group and a weekly newsletter. Events and podcast episodes cover topics such as machine learning, AI platforms and LLM engineering.
A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.
dc.js is a JavaScript charting library with native crossfilter support for exploring large multi-dimensional datasets. It uses d3 to render charts in CSS-friendly SVG format. Charts are data driven and reactive, providing instant feedback to user interaction. The library is described as usable in the browser and on mobile devices.
DeepAlpha is an AI-powered cryptocurrency trading bot that uses a deep neural network combining BiLSTM and attention mechanisms, trained on GPU. It supports 25 coins with a reported 84.9% accuracy rate, integrates with Bybit, Binance, OKX, and Gate.io exchanges, and is available as a free cloud or self-hosted service.
Deepchecks is an open-source project for validating machine learning models and data from research to production. It includes built-in and custom checks and suites for tabular, NLP and CV validation, CI and testing management, and monitoring of deployed models. Installation is via pip.
Deepnote is a drop-in replacement for Jupyter with an AI-first design. It uses the Deepnote kernel, adds block types, native data integrations and an AI agent, and supports Python, R and SQL locally in an IDE before scaling to Deepnote Cloud for collaboration and deployable data apps.
A listener that streams your spark events logs to delight, a free and improved spark UI.
Delta Lake is an open-source storage framework designed to support the construction of a Lakehouse architecture. It is compatible with multiple compute engines including Apache Spark, PrestoDB, Flink, Trino, and Hive, as well as associated APIs.
denial constraints applies AI to data analysis, extraction, visualization, or business intelligence.
Desbordante is a high-performance open-source data profiler. It uses a variety of algorithms to discover different patterns in data and supports running data cleaning scenarios using these algorithms. The tool is available as a console version and an easy-to-use web application.
differential dependencies applies AI to data analysis, extraction, visualization, or business intelligence.
Dimple is an open-source charting API for d3 aimed at business analytics, letting users create and combine bar, line, area and scatter charts. It exposes underlying d3 objects so analysts can build on them, and requires linking d3 before adding dimple to a page.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
distilabel is a framework for synthetic data generation and AI feedback intended for engineers. It provides fast, reliable, and scalable pipelines based on verified research papers, supporting data synthesis for AI systems and on-the-fly feedback addition. The framework aims to improve AI output quality via enhanced data quality, give users control over their data and models, and boost efficiency through rapid iteration on research and large language models.
A Julia package for probability distributions and associated functions.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
SQL database that you can fork, clone, branch, merge, push and pull just like a git repository.
Tools for exploratory data analysis in Python.