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Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
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DuckDB is an analytical in-process SQL database management system
🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
An orchestration platform for the development, production, and observation of data assets.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
🔎 Open source distributed and RESTful search engine.
Modin: Scale your Pandas workflows by changing a single line of code
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Maestro: Netflix’s Workflow Orchestrator