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575 Lab – Dataiku open source office

Advancing responsible AI through open source development.

575 Lab Dataiku open source office

Why open source matters for Dataiku

Accelerating the development of open, production-ready tools that give enterprises the transparency, control, and governance required to deploy AI with confidence.

  • List IconTrust, by design: Inspect every component of your AI stack. No black boxes, no vendor lock-in, complete visibility into how models process your data.
  • List IconEnterprise control: Deploy open-source tools to your infrastructure. Customize to your needs. Maintain security standards and data sovereignty without compromise.
  • List IconCommunity-Driven Innovation: With a community of developers contributing, the software benefits from diverse perspectives, rapid bug fixes, and continuous innovation. The code’s transparency also enables security scrutiny and trust.
why open source matters at Dataiku

Kiji Privacy Proxy™

Protect sensitive data when using closed-source LLMs.

Run a locally deployed proxy that helps teams safely use external LLM APIs by detecting and redacting sensitive data before it leaves your environment.

Built for teams that need to:

  • List IconReduce exposure of PII and sensitive inputs/outputs.
  • List IconMaintain privacy controls while still using best-in-class models.
  • List IconDevelop your custom PII detection models with our provided workflow.
Open source Kiji Privacy Proxy

Kiji Inspector™

Get full visibility into agent decision-making.

Trace and inspect multi-step agent workflows to understand what happened, why, and what to fix.

Built for teams that need to:

  • List IconUnderstand the business decisions performed by an agent.
  • List IconDebug unexpected agent behavior.
  • List IconCreate an inspection trail for risk and compliance reviews.
Dataiku Open source Kiji Inspector

How to contribute and collaborate

Build with the community and ship what’s usable.

The 575 Lab is designed to work in the open: clear repos, practical tooling, and a contributor-friendly approach that helps ideas become stable, production-ready projects.

Ways to get involved:

  • List IconJoin discussions, share feedback, and propose improvements.
  • List IconContribute code, docs, testing, or examples.
  • List IconHelp shape tools teams can actually run in production.
Contribute to the Dataiku open source program 575 Lab

Other Dataiku open source contributions

vLLM

vllm

Dataiku 575 Lab is actively contributing to the most popular LLM inference platform.

scikit-learn

scikit-learn

We are part of the first consortium of corporate sponsors that support the development of this flagship machine learning library.

Code Mirror logo

CodeMirror

We actively sponsor this Javascript code editor.

cardinal

cardinal

Dataiku is the author and maintainer of this Python package designed to perform and monitor active learning experiments, leveraging various query sampling methods and metrics.

Supporting the open source ecosystem

Linux foundation

Linux Foundation

Dataiku supports the Linux Foundation and its open source mission as a Silver Member. The foundation supports projects closely aligned with Dataiku’s mission. These projects include vLLM, or PyTorch.

Agentic AI Foundation

Agentic AI Foundation

As an early member of the Agentic AI Foundation, Dataiku supports standardization around agents and protocols such as MCP.

AI Success: Ideas & Impact

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Dataiku joins the Agentic AI Foundation to strengthen AI trust

Hannes Hapke

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Explaining AI agent decisions with the Kiji Inspector™

Hannes Hapke

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Kiji Privacy Proxy™: protecting your data in the age of generative AI

Hannes Hapke

Join the 575 Labs Slack Community!

Your path to discover, support, and contribute of Dataiku's 575 Lab, and beyond.

575 Lab Dataiku open source office