Data Science

A high-performance open-source language for scientific computing. in Programming Languages →

A comprehensive list organising Julia packages and resources by topic. in Programming Languages →

A language and environment designed for statistics and data analysis, with tens of thousands of packages on CRAN. in Programming Languages →

A resource list for Dash, building data dashboards with Python. in Backend, API & System Design →

Analyses code alongside its change history, surfacing the files that churn most, carry most complexity or depend on one person. in Testing & QA →

The central repository for models, datasets and Spaces demos. in AI · Models & Assistants →

Reduces PDF, DOCX, HTML, email and slides to a shared document-element model. in AI · RAG, Embeddings & Vectors →

Three lines gives a strong baseline on tabular data. in AI · Applied Tools →

A list of methods for explainable AI (XAI) — showing why a model decided as it did. in AI · Applied Tools →

Open models and data pipelines for financial text, including fine-tunes for sentiment and news classification. in AI · Applied Tools →

A distributed AutoML platform. Unlike library-only solutions, it also brings explainability and productionisation… in AI · Applied Tools →

Upload a CSV or Excel and analyse by chatting; it runs Python behind the scenes and produces charts. in AI · Applied Tools →

Notebooks sitting on the same platform as the datasets, with a weekly GPU quota more predictable than Colab’s. in AI · Applied Tools →

A node-based visual analytics platform where the whole pipeline is saved and re-runnable. in AI · Applied Tools →

An AutoML tool that automates model selection. in AI · Applied Tools →

Visual-programming data mining whose widgets wrap scikit-learn. in AI · Applied Tools →

Decomposes a time series into trend, seasonality and holiday effects. in AI · Applied Tools →

compare_models() cross-validates dozens of algorithms in one line and tabulates the result, quickly narrowing which model family is worth pursuing. in AI · Applied Tools →

Write a strategy and backtest it, with equity, options, futures and crypto data supplied. in AI · Applied Tools →

A Java toolbox of classical ML algorithms and one of the field’s oldest open projects. in AI · Applied Tools →

A community archive distributing large research datasets over BitTorrent. in Data Science & ML →

The standard introduction to statistical learning, free as a PDF with separate R and Python labs. in Data Science & ML →

A competition on abstract reasoning whose tasks are designed to be easy for humans and hard for models. in Data Science & ML →

A list of ready machine-learning models for Apple’s Core ML framework. in Data Science & ML →

A list of tools and resources for CSV, the tabular-data file format. in Data Science & ML →

A list of courses, papers, frameworks and datasets for deep learning. in Data Science & ML →

A list compiling the most-cited deep-learning papers of 2012–2016; it is no longer maintained. in Data Science & ML →

A list for H2O, the open-source distributed machine-learning platform. in Data Science & ML →

A list for JAX, which offers automatic differentiation and XLA compilation. in Data Science & ML →

A resource list for Jupyter notebooks, which hold code, text and charts together. in Data Science & ML →

A list for generating text from data or dialogue (natural-language generation). in Data Science & ML →

A list of public datasets organised by topic. in Data Science & ML →

A list organising Python data-science libraries by workflow (data, models, visualisation). in Data Science & ML →

A list for asking and answering questions in natural language (QA). in Data Science & ML →

A list of packages and resources for R, the statistics language. in Data Science & ML →

Resources for machine-learning engineering from experiment to production. in Data Science & ML →

A list of resources and models for TensorFlow, the machine-intelligence library. in Data Science & ML →

A registry of large public datasets hosted on AWS. in Data Science & ML →

A reference giving geography, population, economy, government and military indicators for every country on uniform pages; public domain. in Data Science & ML →

A Google-backed project that merges statistics from the Census, WHO, the UN and dozens of other sources into one… in Data Science & ML →

Microsoft’s 20-lesson curriculum, each unit with pre/post quizzes and a project. in Data Science & ML →

The European Union’s official open-data portal. in Data Science & ML →

The US government’s open-data portal — canonical federal datasets. in Data Science & ML →

Curated open datasets in ready CSV/JSON form, plus tooling. in Data Science & ML →

A directory of machine learning datasets by domain, with size, licence and paper links. in Data Science & ML →

Andrew Ng’s education platform, with specialisations in deep learning and generative AI. in Data Science & ML →

Teaches deep learning top-down — a working model first, theory after. in Data Science & ML →

A platform for sharing research outputs and datasets in citable form with DOIs. in Data Science & ML →

Tools from the foundation Hans Rosling co-founded, presenting global development data through fact-based visualisations. in Data Science & ML →

Public datasets that live inside BigQuery: GitHub, Wikipedia, weather, the census. in Data Science & ML →

Searches open datasets scattered across the web via schema.org markup. in Data Science & ML →

A tool showing how search interest changes over time and place. in Data Science & ML →

Crisis and humanitarian datasets curated by OCHA. in Data Science & ML →

A dataset of fourteen million images labelled against the WordNet hierarchy. in Data Science & ML →

Competitions, datasets and notebooks on one platform. in Data Science & ML →

Bite-sized micro-courses covering Python, Pandas, SQL, and machine learning through in-browser notebook exercises… in Data Science & ML →

Active and past competitions. Unlike working on your own project, you are scored against a real metric on a hidden test… in Data Science & ML →

A long-running data science and machine learning site: news, tutorials, jobs and polls. in Data Science & ML →

An open-source tool, born at Uber, for visualising large location datasets (millions of points, trips, grids) layer by layer in the browser. in Data Science & ML →

A high-level API reducing network construction to stacking layers in a few lines. in Data Science & ML →

Application-focused ML tutorials, each ending in working code — answering “how do I do this” rather than the theory. in Data Science & ML →

Interactive WebGL map clustering subreddits by shared commenters (2020-21 comments). in Data Science & ML →

The foundation of Python plotting — seaborn and pandas’ plotting are built on it. in Data Science & ML →

Google’s fast introduction to machine learning, moving through short video, reading and runnable exercises. in Data Science & ML →

An open machine learning course. Unlike lecture-only material, it pairs theory with Kaggle competition assignments. in Data Science & ML →

Amazon’s set explaining machine learning concepts through interactive visuals. in Data Science & ML →

NASA’s portal to its satellite and Earth-observation data, from rainfall and ice cover to vegetation and the atmosphere. in Data Science & ML →

The US national archive of weather, climate, ocean and geophysical data, formerly NCDC. in Data Science & ML →

One of the largest open databases of companies, merging national company registers into one search. in Data Science & ML →

A platform institutions and cities use to run data portals, with datasets searchable across portals. in Data Science & ML →

The standard library for tabular data. Unlike Excel every transformation is reproducible code; it works in memory, so the data has to fit in RAM. in Data Science & ML →

A site pairing machine-learning papers with their implementation code and benchmark tables. in Data Science & ML →

An interactive charting library with zoom, tooltips and selection built in. in Data Science & ML →

A DataFrame library written in Rust. Unlike pandas it uses every core and optimises the query before running it through… in Data Science & ML →

Microsoft’s business intelligence tool with native connections to Excel and Azure sources. in Data Science & ML →

Apache Spark’s Python interface, for when the data no longer fits on one machine. in Data Science & ML →

An open-source desktop GIS for Windows, macOS and Linux; it reads and analyses shapefile, GeoPackage, PostGIS and… in Data Science & ML →

A community for finding and requesting datasets. in Data Science & ML →

End-to-end computer vision platform for image annotation, dataset augmentation, public dataset sharing, and YOLO… in Data Science & ML →

Free lecture notes on the scientific Python stack — NumPy, SciPy, Matplotlib. in Data Science & ML →

The standard Python library for classical machine learning — classification, regression, clustering and preprocessing… in Data Science & ML →

A statistical plotting library on top of Matplotlib. in Data Science & ML →

A framework turning any video game into a reinforcement learning environment — working against real games rather than… in Data Science & ML →

Turns a Python script into a web app in a few lines with no HTML, CSS or JavaScript. in Data Science & ML →

A drag-and-drop business intelligence platform for building dashboards without code. in Data Science & ML →

Google’s deep learning framework. Compared with PyTorch it lost research ground, yet remains strong for mobile and… in Data Science & ML →

One of the oldest archives for machine-learning research, home to classic small sets such as Iris and Adult. in Data Science & ML →

A data service pulling the statistics of UN bodies into one search: population, agriculture, energy, trade, education. in Data Science & ML →

Uppsala University’s data programme on armed conflict and organised violence, keeping event-level records with coordinates. in Data Science & ML →

The World Health Organization’s country-level health indicators: causes of death, vaccination, health spending, risk factors. in Data Science & ML →

A CERN-backed open research repository that mints DOIs for datasets and software. in Data Science & ML →

Open-source data integration (ELT) with a huge connector catalogue; self-hostable. in Data Engineering →

A real-time stream-processing engine that handles events as they arrive, with low latency. in Data Engineering →

An open table format for large analytical tables, giving schema evolution, time travel and atomic writes. in Data Engineering →

An engine that processes big data in a distributed, in-memory way — batch and streaming. in Data Engineering →

A resource list for Hadoop, the distributed storage and processing framework. in Data Engineering →

A list of tools, libraries and resources for high-performance computing (HPC). in Data Engineering →

A list of packages, tutorials and examples for the Apache Spark ecosystem. in Data Engineering →

A columnar OLAP database for analytics, extremely fast at aggregations at scale. in Data Engineering →

Long-form interviews digging deep into data-engineering tools and architectures. in Data Engineering →

A free, project-based course teaching data engineering end to end (Docker, dbt, Spark, Kafka, cloud). in Data Engineering →

A cloud platform built on Spark that merges the data lake and warehouse (“lakehouse”). in Data Engineering →

A free community offering hands-on data-engineering and ML zoomcamps. in Data Engineering →

An open storage layer bringing ACID transactions and time travel to data lakes. in Data Engineering →

An in-process analytical database — no server, it queries files directly. in Data Engineering →

A data-quality framework that validates and documents data with declarative expectations. in Data Engineering →

A lightweight Python library that builds data transformations as a graph from functions. in Data Engineering →

An open-source DataOps ELT platform, Singer-based and CLI/config-driven. in Data Engineering →

A Microsoft learning path teaching cloud data engineering module by module. in Data Engineering →

A distributed SQL query engine that queries data where it lives, across many sources. in Data Engineering →

The standard for packet capture and protocol dissection, and it will decrypt TLS if you hand it the keys. in Networking & Sysadmin →

Machine learning resources for security, gathering datasets and academic papers together. in Offence, Defence & OSINT →

A second compilation on machine learning for security. in Offence, Defence & OSINT →

TÜBİTAK’s open archive, hosting research data alongside publications. in Science & Academia →

A list of tools and resources for analysing biological data (bioinformatics). in Science & Academia →

A list of resources for computational approaches to biology problems. in Science & Academia →

A list of information-retrieval resources for learning to build your own search engine. in Science & Academia →

An AI-powered academic search engine. Unlike Google Scholar it summarises a paper, distinguishes influential citations and extracts links semantically. in Science & Academia →

Browses sky survey data by position, letting you overlay telescope imagery and compare across wavelengths. in Science & Academia →

A Brown University project teaching probability and statistics entirely through interactive visuals. in Mathematics →

A Stanford reference summarising the linear algebra needed for machine learning. in Mathematics →

Wraps parameterised quantum circuits as Keras-style layers to combine with classical networks. in Quantum Computing →

The Harvard Growth Lab’s atlas visualising a country’s export structure and economic complexity. in Economics →

The official US publisher of GDP, national accounts, personal income and international trade data. in Economics →

The official US source for employment, unemployment, wages and consumer inflation (CPI). in Economics →

The St. Louis Fed’s economic database — 800,000+ US and world series, with charting and an API. in Economics →

The IMF’s macro data — the standard reference for balance of payments, exchange rates and debt. in Economics →

Datasets released by NBER researchers: macroeconomic history, CPS extracts, patent data. in Economics →

Official OECD statistics across member economies, standardised for cross-country comparison straight from the source. in Economics →

A university-backed research publication presenting long-run data on the economy, population, health and environment as interactive charts. in Economics →

A statistics portal aggregating market and survey data across industries with sourcing. in Economics →

Gathers macro indicators — GDP, inflation, rates — for 196 countries in one dashboard with historical series and forecasts. in Economics →

The UN database of countries’ merchandise trade by product (HS code) and partner. in Economics →

The data centre for the UNDP’s Human Development Index and its related composite indices (inequality, gender, poverty). in Economics →

The official publisher of US population, household, housing and business statistics, home to the American Community Survey and the economic censuses. in Economics →

A publication turning economic and technology data into infographics. in Economics →

Data-driven articles by World Bank economists on global development, poverty, climate policy, and trade; distills… in Economics →

International macroeconomic time series, country by country. in Economics →

A list of tools, data and papers solving finance problems with machine learning. in Finance, Markets & Crypto →

A list of methods for classifying credit applicants and modelling risk. in Finance, Markets & Crypto →

A collection of libraries, strategies and data sources for stock trading. in Finance, Markets & Crypto →

Market data for thousands of crypto assets, DEXes included, with a free API. in Finance, Markets & Crypto →

Widely used crypto prices and rankings by market cap. in Finance, Markets & Crypto →

DeFi total-value-locked analytics across chains. in Finance, Markets & Crypto →

An analytics platform where the community builds dashboards with SQL queries over blockchain data. in Finance, Markets & Crypto →

Ethereum’s canonical block explorer, with transaction tracing, contract verification and an API. in Finance, Markets & Crypto →

A visual stock screener that scans the US market on one screen with a heatmap and dense filters. in Finance, Markets & Crypto →

Crypto market intelligence through on-chain metrics and derived indicators. in Finance, Markets & Crypto →

Multi-asset real-time quotes together with an economic calendar in broad coverage. in Finance, Markets & Crypto →

Bloomberg-like analytics dashboards for equities and macro, offered with a generous free tier. in Finance, Markets & Crypto →

Free long-term charts of stocks and economic data going back decades. in Finance, Markets & Crypto →

A service aggregating financial and economic data from many sources under one API (formerly Quandl). in Finance, Markets & Crypto →

Runs portfolio backtesting, Monte Carlo simulation and factor analysis in the browser. in Finance, Markets & Crypto →

Fast, clean stock data and financials with a generous free tier. in Finance, Markets & Crypto →

Quotes, financials and portfolio tracking, with free historical price downloads. in Finance, Markets & Crypto →

Karpathy's tool for searching, tagging and recommending arXiv papers; open source. in Learning & Roadmaps →

Short video then in-browser coding with instant grading. in Learning & Roadmaps →

A research journal explaining machine-learning ideas through interactive visuals. in Learning & Roadmaps →

A free book covering NumPy, pandas, Matplotlib and scikit-learn, published entirely as runnable Jupyter notebooks. in Free Books & Long Reads →

Generates realistic fake test data (CSV, JSON, SQL) to your chosen schema. in Converters, Formatters & Checkers →

GitHub’s annual report, showing software trends with data. in Lists, Directories & Discovery →

Star rankings for repositories and users, quickly showing what dominates a field. in Lists, Directories & Discovery →

Shows how fast GitHub repositories gain stars. in Lists, Directories & Discovery →

An open-source analytics platform that analyses 10B+ GitHub events in real time, comparing repositories by stars, commits and contributor health. in Lists, Directories & Discovery →

The annual large survey of developers’ tool, language and salary trends. in Lists, Directories & Discovery →

A programming language popularity index. Unlike the Stack Overflow survey its methodology rests on counting… in Lists, Directories & Discovery →

A dashboard tracking rising open-source projects. in Lists, Directories & Discovery →