Telegram 优质中文频道与群组自动化导航站。持续追踪 1000+ 节点,智能过滤死群、引流广告与有害内容,为您提供最纯粹的 TG 中文资源精选库。
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Updated
Feb 24, 2026 - Python
Open data is data that can be freely used, re-used, and redistributed by anyone - subject only, at most, to the requirement to attribute and sharealike.
Telegram 优质中文频道与群组自动化导航站。持续追踪 1000+ 节点,智能过滤死群、引流广告与有害内容,为您提供最纯粹的 TG 中文资源精选库。
CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.
🕵 Artificial Intelligence for social control of public administration | **This repository does not receive frequent updates. Check out the README**
📰 Diários oficiais brasileiros acessíveis a todos | 📰 Brazilian government gazettes, accessible to everyone.
Search and download Copernicus Sentinel satellite images
Source code for the CERN Open Data portal
Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.
Access and analyze historical weather and climate data with Python.
Wikipedia tools (for Humans): easily extract data from Wikipedia, Wikidata, and other MediaWikis
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
Open weather data for humans.
Official github page of UCF SST CitySim Dataset
Official data.gouv.fr Model Context Protocol (MCP) server that allows AI chatbots to search, explore, and analyze datasets from the French national Open Data platform, directly through conversation.
Core meta for awesome-public-datasets. Contribute new data here!
Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of public and premium external data sources, including open & commercial LLMs
A list of open geospatial datasets on AWS
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.