DAGsHub vs ZenML — Comparison

DAGsHub

Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform

Thank you! We'll be in touch ASAP. Something went wrong, please try again or contact us directly at contact@dagshub.com We started DagsHub because collaborating on data and data science problems is unnecessarily hard. Machine learning is changing the world, and everyone will benefit if communities work together to develop it. Most data science teams find it hard to collaborate. Fundamental differences between the data science and software development workflows means that existing tools are not suitable. Once it is easy to collaborate, Open Source Data Science will become a reality. The basis for frictionless collaboration is the ability to understand what others have done, and the ability to pick up where they left off. It should be as easy as “git checkout”. If you have to ask for instructions, or pull together information from multiple data sources, then most of the time, you won’t bother. Collaboration will be incredibly slow and difficult for teams and communities. DagsHub is a web platform based on open source tools, optimized for data science and oriented towards the open source community. It is a central location where projects can be hosted, discovered, and collaborated on by contributors. DagsHub was created to be a home for open source data science, where everyone can contribute and make the research and development process transparent, inclusive and better for everyone. To help developers in the fields of Machine Learning (ML) and Data Science (DS) create and learn from each other. We believe that technology should help us focus on tackling the most interesting and important challenges in life. The software engineering community has spent a lot of time and done a pretty good job of standardizing project management and version control. This helps them focus on the difficult task of engineering software instead of re-inventing project management for every new project. Also, we like Dags. D'ya like Dags? We believe learning is a top priority, in our professional and personal lives. We'll encourage and enable you to spend time to broaden your horizons. The best way to learn is through feedback. We are eager to give and receive critical feedback, and use it to improve ourselves. This is not an excuse for being an asshole (see 2). We're a high-growth startup, so everyone has an important part to play. We are excited about taking end-to-end ownership of our work. You are not a cog in a machine. When we're not working, we enjoy debating life, the universe and everything.

ZenML

One layer for orchestration, versioning, and governance — from training pipelines to agent evals, local to Kubernetes.

Stop writing fragile scripts to connect your tools. ZenML provides a standardized protocol to bind your data retrieval (LlamaIndex), reasoning (LangChain), and training (PyTorch) steps into a single, cohesive system. Teams lose velocity rewriting notebook code for the cloud. ZenML allows the exact same @step to run locally for debugging, in batch for massive evaluations, and then deploy seamlessly to your production serving infrastructure. Your current orchestrator runs the job, but it doesn't track the data. ZenML adds a metadata layer to tools like Airflow or Kubeflow, giving you the artifact lineage and reproducibility that raw orchestrators lack. Built on Apache 2.0 for flexibility, hardened for the enterprise. Deploy ZenML inside your own VPC. Keep full sovereignty over your data, models, and API secrets while meeting SOC2 and ISO 27001 standards. Join thousands of teams using ZenML to eliminate chaos and accelerate AI delivery 60+ integrations across the AI ecosystem. From sklearn to LangGraph. We have put down our expertise around building production-ready, scalable AI platforms, building on insights from our top customers. Learn how teams are using ZenML to save time and simplify their MLOps. ZenML tracks production AI deployments across the industry Former Chief Scientist Salesforce and Founder of You.com ML Engineer / ML Ops / ML Solution architect at ADEO Services Professor of Linguistics and CS at Stanford Machine Learning Engineer at WiseTech Global Stay updated on the latest developments, announcements, and updates from the ZenML ecosystem. ZenML is a metadata layer on top of your existing infrastructure, meaning all data and compute stays on your side. ZenML is SOC2 and ISO 27001 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data. Subscribe to the ZenML newsletter and receive regular product updates, tutorials, examples, and more. Thanks for subscribing! Check your inbox to confirm. We care about your data in our privacy policy. Everything you need to know about the product. Predictable, transparent pricing that scales with value. Apply for a special price to access ZenML Pro features for early-stage companies building ML-powered products, universities, research institutions, and educational use cases. ZenML is a metadata layer on top of your existing infrastructure, meaning all data and compute stays on your side. ZenML is SOC2 and ISO 27001 Compliant ZenML is SOC2 and ISO 27001 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data. Everything you need to know about the product. Join the ZenML Community and start improving your MLOps stacks registered last 12 months ZenML offers the capability to build end-to-end ML workflows t

DAGsHub

ZenML

DAGsHub

ZenML

DAGsHub

ZenML