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Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
a fast, scalable, multi-language and extensible build system
Enforce the output format (JSON Schema, Regex etc) of a language model
Development Containers: Use a container as a full-featured development environment.
🧙 Build, run, and manage data pipelines for integrating and transforming data.
A high-throughput and memory-efficient inference and serving engine for LLMs
🐍🌿💚 Integrate MyPy type-checking into your Python Bazel builds
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Standardized Serverless ML Inference Platform on Kubernetes
Instant, easy, and predictable development environments
HTTP load testing tool and library. It's over 9000!
An ultra-light MacOS utility that helps hide menu bar icons
Block users who loves a specific tweet, and help you improve your experience using Twitter.
Simple script for downloading Youtube comments without using the Youtube API
A website where you can create rooms and chat while watching local video files synchronized with your friends.
Codespaces but open-source, client-only and unopinionated: Works with any IDE and lets you use any cloud, kubernetes or just localhost docker.
⭐️ Companies that don't have a broken hiring process