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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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twelvelabs.io
Twelve Labs provides an enterprise video intelligence platform and API powered by multimodal artificial intelligence. The platform allows users to search, analyze, and understand video content across visual, audio, and language modalities, and can process large volumes of video data at high speed.
The U.S. Energy Information Administration is the official source of U.S. government energy statistics. It publishes data and analysis on petroleum, natural gas, electricity, coal, nuclear, uranium and renewable fuels, along with state and international energy information and short- and long-term forecasts. It also offers open data as an API, Excel add-in and bulk files.
github.com
A Ruby implementation of the UEA-Lite stemmer for conservative stemming in search and indexing workloads. It normalizes suffixes with a rule set while avoiding aggressive stemming, removes possessive apostrophes, expands contractions by default and preserves tokens beginning with uppercase letters. The gem has no runtime dependencies.
github.com
Upgini is an open-source data search and enrichment library for Machine Learning and AI pipelines. It enables users to find and add relevant features from hundreds of public and premium external data sources, including open and commercial large language models.
vaex.io
Vaex is an open-source Python DataFrame library for working with large tabular datasets without loading them fully into memory. It supports lazy opening of CSV files and processing of hundreds of millions or billions of rows per second. The project also offers consultancy and training services.
github.com
Vearch is a cloud-native distributed vector database for similarity search of embedding vectors in AI applications. It supports hybrid vector search and scalar filtering, replication, elastic scaling, RESTful APIs, and SDKs for Python, Go, Java and Rust. It integrates with frameworks including LangChain and LlamaIndex and can be deployed via Kubernetes or Docker Compose.
wazuh.com
Wazuh is a free and open source security platform that unifies XDR and SIEM protection for endpoints and cloud workloads. It collects, aggregates, indexes and analyzes security data to detect intrusions, threats and behavioral anomalies. Capabilities include file integrity monitoring, vulnerability detection, configuration assessment and log data analysis. A managed Wazuh Cloud service is also offered.
github.com
Helps find, analyze or synthesize information for research and knowledge discovery.
github.com
The windML framework provides access to wind data sources within Python, building upon numpy, scipy, sklearn and matplotlib. It relates to renewable wind energy forecasting and prediction. The package is currently not maintained, though a deprecated branch is available.
worldmonitor.app
World Monitor is a free, open-source global intelligence dashboard that streams live data feeds onto a single world map with AI analysis. It covers conflict events, military flights, ship movements, market data, shipping chokepoints, internet outages and cyber signals, and provides a REST API with MCP equivalents.
worlddata.ai
WorldData.AI is a data platform that aggregates curated data from public sources. It combines datasets, news analysis and location-based data in a single search interface. The site lists a free trial plan with 8000 credits per month, limited access to Global Data, News AI and Geo Intelligence, and a bulk download limit of 250 datasets.
worldbank.org
The Worldwide Governance Indicators are annual composite indicators summarizing six dimensions of governance across more than 200 economies, based on perception data from 35 cross-country sources. The World Bank publishes the 2026 update, with data covering 1996 to 2025. The indicators are intended for research, policy analysis and government reflection, not as definitive criteria for credit ratings or investment risk.
huggingface.co
A Hugging Face blog post introducing Matryoshka Embedding models. It explains embeddings as numerical representations and describes how Matryoshka models store more important information in earlier dimensions, allowing large embeddings to be truncated while remaining useful. It covers theoretical training and training with Sentence Transformers, with a comparison to a regular embedding model.
huggingface.co
Interactive Hugging Face app that helps find, analyze or synthesize information for research and knowledge discovery.