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High-performance, low-footprint SQL database written in C++. Process millions of rows per second from Kafka, Pulsar, or ClickHouse, and seamlessly write results back. Supports powerful features lik…
Model Context Protocol Servers
The official Python SDK for Model Context Protocol servers and clients
Migrate a project from Poetry/Pipenv/pip-tools/pip to uv package manager
Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.
👻 Ghostty is a fast, feature-rich, and cross-platform terminal emulator that uses platform-native UI and GPU acceleration.
A POC web editing experience for Evidence-like markdown
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Clickhouse source plugin for Evidence
Official JS client for ClickHouse DB
A very fast and expressive template engine.
A Python implementation of John Gruber’s Markdown with Extension support.
The OpenAPI Specification Repository
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
CoTracker is a model for tracking any point (pixel) on a video.
Persistent, stale-free, local and cross-machine caching for Python functions.
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many mo…
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Use CH-UI to work with your data from Click House self-hosted with a user-friendly interface. CH-UI is a modern and feature-rich user interface for ClickHouse databases. It offers an intuitive plat…
The library for web and native user interfaces.
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
The SQS connector plugin provides the ability to use AWS SQS queues as both a source (from an SQS queue into a Kafka topic) or sink (out of a Kafka topic into an SQS queue).