Data Science & ML — Useful Sites

Awesome GIS

2026-10-18T00:00:00Z

A list for geographic information systems: cartographic tools, geoanalysis libraries, data sources and communities. Unlike Esri-centred lists it is open-source and platform-neutral, with desktop GIS, web mapping libraries and open data in one place.

https://github.com/sshuair/awesome-gis

kepler.gl

2026-10-18T00:00:00Z

An open-source tool, born at Uber, for visualising large location datasets (millions of points, trips, grids) layer by layer in the browser. Unlike QGIS it aims at exploration and presentation rather than analysis: drop in a CSV or GeoJSON and you have a map with a time slider in minutes.

https://kepler.gl/

Map of Reddit

2026-10-18T00:00:00Z

Interactive WebGL map clustering subreddits by shared commenters (2020-21 comments). Unlike subreddit lists, it shows how communities relate spatially.

https://anvaka.github.io/map-of-reddit/

OpenDigger

2026-10-18T00:00:00Z

X-lab's analysis platform publishing open-source health metrics derived from GitHub activity (OpenRank, activity, contributors). Unlike the raw GitHub API, the metrics come ready-made as open time-series data.

https://open-digger.cn/en/

overpass turbo

2026-10-18T00:00:00Z

A web front end for querying OpenStreetMap data through the Overpass API; it shows the result on a map, downloads it as GeoJSON and has a wizard for those who do not write queries. Unlike downloading a full OSM extract it fetches only the features you ask for, such as every pharmacy in a city.

https://overpass-turbo.eu/

QGIS

2026-10-18T00:00:00Z

An open-source desktop GIS for Windows, macOS and Linux; it reads and analyses shapefile, GeoPackage, PostGIS and raster layers and extends through plugins. Unlike ArcGIS there is no licence fee; in exchange support comes from the community and commercial partners.

https://qgis.org/

KDnuggets

2026-10-09T09:00:00Z

A long-running data science and machine learning site: news, tutorials, jobs and polls. Unlike research-oriented sources it is a practitioner’s digest.

https://www.kdnuggets.com/

Open-Meteo

2026-10-09T09:00:00Z

A free, open-source weather API that needs no key for non-commercial use. Unlike commercial weather APIs it asks for no signup, and its data is open.

https://open-meteo.com/

Scientific Python Lectures

2026-10-09T09:00:00Z

Free lecture notes on the scientific Python stack — NumPy, SciPy, Matplotlib. Unlike single-library docs they show how the pieces fit together.

https://lectures.scientific-python.org/

CIA World Factbook

2026-10-08T09:00:00Z

A reference giving geography, population, economy, government and military indicators for every country on uniform pages; public domain. Unlike Wikipedia country articles every country has the same fields in the same order, which makes comparison easy. The publisher is an intelligence agency — keep that in mind for interpretive fields.

https://www.cia.gov/the-world-factbook/

Data Commons

2026-10-08T09:00:00Z

A Google-backed project that merges statistics from the Census, WHO, the UN and dozens of other sources into one knowledge graph, queryable in natural language and through an API. Unlike single-agency portals it sets series from different sources side by side in one query. Google’s old Public Data Explorer address redirects here.

https://datacommons.org/

Google Cloud Public Datasets

2026-10-08T09:00:00Z

Public datasets that live inside BigQuery: GitHub, Wikipedia, weather, the census. Unlike the AWS Open Data Registry the data comes as tables you query with SQL rather than files; within the monthly free query quota you can work without downloading.

https://cloud.google.com/datasets

Google Trends

2026-10-08T09:00:00Z

A tool showing how search interest changes over time and place. Unlike keyword planners it gives a relative 0–100 index rather than absolute search counts; useful for gauging public interest, seasonality and rising topics.

https://trends.google.com/trends/

NASA Earthdata

2026-10-08T09:00:00Z

NASA’s portal to its satellite and Earth-observation data, from rainfall and ice cover to vegetation and the atmosphere. Unlike NOAA’s ground-station records it rests on measurements taken from space; downloads need a free Earthdata account.

https://www.earthdata.nasa.gov/

NOAA NCEI

2026-10-08T09:00:00Z

The US national archive of weather, climate, ocean and geophysical data, formerly NCDC. Unlike NASA Earthdata it holds decades-long series of station and observation records rather than imagery — the primary source for past weather.

https://www.ncei.noaa.gov/

OpenCorporates

2026-10-08T09:00:00Z

One of the largest open databases of companies, merging national company registers into one search. Unlike individual national registers it presents many jurisdictions in the same form; officer and affiliate links make it useful for investigation, while heavy API use is paid.

https://opencorporates.com/

r/datasets

2026-10-08T09:00:00Z

A community for finding and requesting datasets. Unlike catalogue sites you can post a request when the data you want is missing and see what others have found; there is no quality control, so check the licence and source yourself.

https://www.reddit.com/r/datasets/

UCI Machine Learning Repository

2026-10-08T09:00:00Z

One of the oldest archives for machine-learning research, home to classic small sets such as Iris and Adult. Unlike Kaggle it is an academic archive rather than a contest site: each set comes with its donor, field descriptions and citation, and papers use them as benchmarks.

https://archive.ics.uci.edu/

UNdata

2026-10-08T09:00:00Z

A data service pulling the statistics of UN bodies into one search: population, agriculture, energy, trade, education. Unlike visiting each agency’s site it builds country-by-year comparison tables; for depth, the source agency’s own portal is better.

https://data.un.org/

Uppsala Conflict Data Program

2026-10-08T09:00:00Z

Uppsala University’s data programme on armed conflict and organised violence, keeping event-level records with coordinates. Unlike news archives each event is verified against coding rules; it is a standard reference in conflict research.

https://ucdp.uu.se/

WHO Global Health Observatory

2026-10-08T09:00:00Z

The World Health Organization’s country-level health indicators: causes of death, vaccination, health spending, risk factors. Unlike national health agencies’ figures, it puts countries on the same definitions and methods so they can be compared; the data is also available through an API.

https://www.who.int/data/gho

Awesome ArcGIS Developer

2026-09-18T00:00:00Z

Developer resources for ArcGIS, the mapping and location-analysis platform. Unlike open-source GIS lists, it centres on the commercial Esri ecosystem, and Esri maintains it.

https://github.com/Esri/awesome-arcgis-developer

Awesome Core ML Models

2026-09-18T00:00:00Z

A list of ready machine-learning models for Apple’s Core ML framework. Unlike general model hubs, every model is already in Core ML format for on-device use on iOS/macOS; part of the list is dated.

https://github.com/likedan/Awesome-CoreML-Models

Awesome CSV

2026-09-18T00:00:00Z

A list of tools and resources for CSV, the tabular-data file format. Unlike strictly schema’d formats (Parquet, JSON Schema) CSV is loose, and the list gathers the command-line tools and libraries that cope with its quirks.

https://github.com/secretGeek/awesomeCSV

Awesome Deep Learning

2026-09-18T00:00:00Z

A list of courses, papers, frameworks and datasets for deep learning. Unlike general ML lists it focuses on neural networks and modern architectures.

https://github.com/ChristosChristofidis/awesome-deep-learning

Awesome Deep Learning Papers

2026-09-18T00:00:00Z

A list compiling the most-cited deep-learning papers of 2012–2016; it is no longer maintained. Unlike live trackers such as Papers with Code, it offers a fixed core chosen by citation count — a historical entry point to the field’s foundations.

https://github.com/terryum/awesome-deep-learning-papers

Awesome H2O

2026-09-18T00:00:00Z

A list for H2O, the open-source distributed machine-learning platform. Unlike scikit-learn, it runs distributed across a cluster and has AutoML built in.

https://github.com/h2oai/awesome-h2o

Awesome JAX

2026-09-18T00:00:00Z

A list for JAX, which offers automatic differentiation and XLA compilation. Unlike PyTorch it is functional: you apply transformations such as grad, jit and vmap to pure functions.

https://github.com/n2cholas/awesome-jax

Awesome JSON

2026-09-18T00:00:00Z

A list of tools and resources for JSON, the text-based data-interchange format. Unlike a single parser, it brings together schema validators, query tools such as jq and libraries per language.

https://github.com/burningtree/awesome-json

Awesome Jupyter

2026-09-18T00:00:00Z

A resource list for Jupyter notebooks, which hold code, text and charts together. Unlike the Jupyter docs, it gathers the ecosystem around it — extensions, kernels, tools that turn a notebook into an app or slides.

https://github.com/markusschanta/awesome-jupyter

Awesome NLG

2026-09-18T00:00:00Z

A list for generating text from data or dialogue (natural-language generation). Unlike general NLP lists it is about producing text rather than understanding it; much of it predates large language models.

https://github.com/accelerated-text/awesome-nlg

Awesome OpenStreetMap

2026-09-18T00:00:00Z

A list of tools and resources for OpenStreetMap, the open map-data project. Unlike the Google Maps API the data is openly licensed (ODbL) and fully downloadable; the list gathers editors, processors and renderers.

https://github.com/osmlab/awesome-openstreetmap

Awesome Public Datasets

2026-09-18T00:00:00Z

A list of public datasets organised by topic. Unlike random data search it points to clean, usable sources grouped by domain.

https://github.com/awesomedata/awesome-public-datasets

Awesome Python Data Science

2026-09-18T00:00:00Z

A list organising Python data-science libraries by workflow (data, models, visualisation). Unlike a PyPI search it shows curated tools for each stage.

https://github.com/krzjoa/awesome-python-data-science

Awesome Question Answering

2026-09-18T00:00:00Z

A list for asking and answering questions in natural language (QA). Unlike general NLP lists, it focuses only on question answering — datasets, models, papers.

https://github.com/seriousran/awesome-qa

Awesome R

2026-09-18T00:00:00Z

A list of packages and resources for R, the statistics language. Unlike CRAN it foregrounds packages chosen by task (visualisation, machine learning).

https://github.com/qinwf/awesome-R

Awesome SE for ML

2026-09-18T00:00:00Z

Resources for machine-learning engineering from experiment to production. Unlike model lists it looks at the “making ML a product” side — testing, deployment, monitoring.

https://github.com/SE-ML/awesome-seml

Awesome TensorFlow

2026-09-18T00:00:00Z

A list of resources and models for TensorFlow, the machine-intelligence library. Unlike the official docs, it gathers community tutorials, models and projects; part of it dates from the TensorFlow 1 era.

https://github.com/jtoy/awesome-tensorflow

AWS Open Data Registry

2026-09-18T00:00:00Z

A registry of large public datasets hosted on AWS. Unlike portals such as Data.gov the data sits directly in S3, so you can process it inside AWS without downloading.

https://registry.opendata.aws

data.europa.eu

2026-09-18T00:00:00Z

The European Union’s official open-data portal. Unlike national portals, it merges member states’ datasets into one search and also includes data from the EU institutions themselves.

https://data.europa.eu