Open source. Open possibilities.

Made With ML is an open-source course and codebase teaching how to design, develop, deploy and iterate on production-grade machine learning applications, covering MLOps, testing, serving, CI/CD and continual learning.

Argo Workflows is a container-native workflow engine for orchestrating parallel jobs on Kubernetes, implemented as a Custom Resource Definition (CRD).

Taipy is a Python framework designed for data scientists and ML engineers to build and deploy production-ready data and AI-driven web applications without needing to learn front-end languages.

Recotem is a recipe-driven recommender system tool built on irspack. One YAML defines data, training, and output; train produces a signed artifact, serve mounts it as a REST API with hot-swap. Single binary, no database.

FairMind is an open‑source AI governance platform providing bias detection, fairness testing, and compliance tracking for ML, LLM, and multimodal AI models. It offers evidence‑grade evaluation, model registry, and remediation tools.

Great Expectations (GX Core) is an open-source Python library for data quality, providing a framework for creating unit tests for data to ensure consistency and reliability.

MLflow is an open-source AI engineering platform designed for managing the lifecycle of agents, LLMs, and traditional ML models, focusing on observability, evaluation, and deployment.

NovaFabric is an open-source, self-hosted CLI that captures any AI or HPC run — script, agent, or model call — as a portable, secret-redacted, replayable evidence capsule you own, with no application code changes.

Label Studio is an open-source, multi-type data labeling tool supporting audio, text, images, video, and time series with a simple UI and export to various model formats.

Dagster is a cloud-native data pipeline orchestrator designed for the development, production, and observation of data assets throughout their entire lifecycle.

Apache Airflow is a platform to programmatically author, schedule, and monitor workflows as code, commonly used for data pipelines and AI/ML orchestration.

PyCaret 4.0 is an open-source, self-hosted AutoML platform for Python: a sklearn-native engine plus a FastAPI control plane and React UI, runnable locally with a single docker compose command.

Deep Lake is a serverless multimodal database for AI that combines vector search with storage for embeddings, images, video, audio, and documents. It streams data directly from cloud storage to PyTorch/TensorFlow, supports versioning, and integrates with LangChain, LlamaIndex, and Weights & Biases.

Qdrant is a high-performance vector similarity search engine and database written in Rust, designed for AI applications requiring semantic search and large-scale vector management.