Top AI Repos β open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
ZenML π: One AI Platform from Pipelines to Agents. https://zenml.io.
| Date | Stars |
|---|---|
| 2026-07-24 | 5516 |
| 2026-07-25 | 5519 |
| 2026-07-28 | 5525 |
| 2026-07-30 | 5529 |
| 2026-07-31 | 5529 |
| 2026-08-06 | 5538 |
Today
+9 stars today
This week
+9 stars this week
This month
β stars this month
Momentum
80.0
growth rate 0.16%/day
<div align="center">
<!-- PROJECT LOGO -->
<br />
<a href="https://zenml.io">
<img src="docs/book/.gitbook/assets/header.png" alt="ZenML Header">
</a>
<br />
<div align="center">
<h3 align="center">One AI Platform From Pipelines to Agents </h3>
</div>
[![PyPi][pypi-shield]][pypi-url]
[![PyPi][pypiversion-shield]][pypi-url]
[![PyPi][downloads-shield]][downloads-url]
[![Contributors][contributors-shield]][contributors-url]
[![License][license-shield]][license-url]
</div>
<!-- MARKDOWN LINKS & IMAGES -->
[pypi-shield]: https://img.shields.io/pypi/pyversions/zenml?color=281158
[pypi-url]: https://pypi.org/project/zenml/
[pypiversion-shield]: https://img.shields.io/pypi/v/zenml?color=361776
[downloads-shield]: https://img.shields.io/pepy/dt/zenml?color=431D93
[downloads-url]: https://pypi.org/project/zenml/
[contributors-shield]: https://img.shields.io/github/contributors/zenml-io/zenml?color=7A3EF4
[contributors-url]: https://github.com/zenml-io/zenml/graphs/contributors
[license-shield]: https://img.shields.io/github/license/zenml-io/zenml?color=9565F6
[license-url]: https://github.com/zenml-io/zenml/blob/main/LICENSE
<div align="center">
<p>
<a href="https://zenml.io/projects">Projects</a> β’
<a href="https://zenml.io/roadmap">Roadmap</a> β’
<a href="https://docs.zenml.io/changelog">Changelog</a> β’
<a href="https://github.com/zenml-io/zenml/issues">Report Bug</a> β’
<a href="https://zenml.io/pro">Sign up for ZenML Pro</a> β’
<a href="https://www.zenml.io/blog">Blog</a> β’
<a href="https://docs.zenml.io/">Docs</a>
<br />
<br />
π For the latest release, see the <a href="https://docs.zenml.io/changelog">changelog</a>.
</p>
</div>
---
ZenML is built for ML or AI Engineers working on traditional ML use-cases, LLM workflows, or agents, in a company setting.
At it's core, ZenML allows you to write **workflows (pipelines)** that run on any **infrastructure backend (stacks)**. You can embed any Pythonic logic within these pipelines, like training a model, or running an agentic loop. ZenML then operationalizes your application by:
1. Automatically containerizing and tracking your code.
2. Tracking individual runs with metrics, logs, and metadata.
3. Abstracting away infrastructure complexity.
4. Integrating your existing tools and infrastructure e.g. MLflow, Langgraph, Langfuse, Sagemaker, GCP Vertex, etc.
5. Allowing you to quickly iterate on experiments with an observable layer, in development and in production.
...amongst many other features.
ZenML is used by thousands of companies to run their AI workflows. Here are some featured ones:
<div align="center">
<a href="https://www.airbus.com/"><img src="https://cdn.prod.website-files.com/64a817a2e7e2208272d1ce30/66e826c67966c0e639be6591_airbus.svg" alt="Airbus" height="50"/></a>
<a href="https://www.axa.com/"><img src="https://cdn.prod.website-files.com/64a817a2e7e2208272d1ce30/66c84308916684f0d07b57ff_axa-min.svg" alt="AXA" height="50"/></a>
<a href="https://www.jetbrains.com/"><img src="https://cdn.prod.website-files.com/64a817a2e7e2208272d1ce30/682337dd23ca98ec293c2dc6_jetbrains-min.svg" alt="JetBrains" height="50"/></a>
<a href="https://rivian.com/"><img src="https://cdn.prod.website-files.com/64a817a2e7e2208272d1ce30/66e9897d1b1dc28e560c0c07_rivian-min.svg" alt="Rivian" height="50"/></a>
<a href="https://www.wisetechglobal.com/"><img src="https://cdn.prod.website-files.com/64a817a2e7e2208272d1ce30/65ddeac90f19eb6c4cd715f9_wisetech_logo-min.svg" alt="WiseTech Global" height="50"/></a>
<a href="https://www.brevo.com/"><img src="https://cdn.prod.website-files.com/64a817a2e7e2208272d1ce30/652d3e5d29d36f927c2bb623_brevo.webp" alt="Brevo" height="50"/></a>
</div>
<div align="center">
<a href="https://www.leroymerlin.com/"><img src="https://cdn.prod.website-files.com/64a817Excerpt of 14,038 characters
Read on GitHub
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Safoine El Khabich Β· @zenml-io Β· Morocco
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Jayesh Sharma Β· @ComposioHQ Β· India
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Alex Strick van Linschoten Β· @zenml-io
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Dickson Neoh Β· Malaysia
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Would you bet a product on this? Bounded 0β100 and slow moving.
matched fp:05809ee8ae762163, topic:deep-learning, topic:pytorch, topic:tensorflow
matched fp:05809ee8ae762163, topic:mlops, topic:llmops