Software Alternatives & Reviews

ZenML VS datagran

Compare ZenML VS datagran and see what are their differences

ZenML logo ZenML

Create reproducible machine learning pipelines

datagran logo datagran

All-in-one AI data workspace
  • ZenML Landing page
    Landing page //
    2023-10-05
  • datagran Landing page
    Landing page //
    2023-10-22

ZenML videos

Karachi AI : Meetup 12 - MLOPS INTRODUCTION AND DEMO WITH ZENML (URDU/HINDI)

datagran videos

Datagran Review on AppSumo

Category Popularity

0-100% (relative to ZenML and datagran)
Developer Tools
62 62%
38% 38
AI
51 51%
49% 49
GitHub
100 100%
0% 0
No Code
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, ZenML seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

ZenML mentions (10)

  • [D] Feedback on a worked Continuous Deployment Example (CI/CD/CT)
    Hey everyone! At ZenML, we released today an integration that allows users to train and deploy models from pipelines in a simple way. I wanted to ask the community here whether the example we showcased makes sense in a real-world setting:. Source: about 2 years ago
  • How we made our integration tests delightful by optimizing our GitHub Actions workflow
    As of early March 2022 this is the new CI pipeline that we use here at ZenML and the Feedback from my colleagues -- fellow engineers -- has been very positive overall. I am sure there will be tweaks, changes and refactorings in the future, but for Now, this feels Zen. - Source: dev.to / about 2 years ago
  • Ask HN: Who is hiring? (March 2022)
    ZenML is hiring for a Design Engineer. ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. Built for data scientists, it has a simple, flexible syntax, is cloud- and tool-agnostic, and has interfaces/abstractions that are catered towards ML workflows. We’re looking for a Design Engineer with a multi-disciplinary skill-set who can take over the look and feel of... - Source: Hacker News / about 2 years ago
  • Ask HN: Who is hiring? (January 2022)
    ZenML | Developer Advocate | Full-time | Remote (Europe / UK) | [https://zenml.io](https://zenml.io) Hey! We are an open-source company and the pulse of [ZenML](https://github.com/zenml-io/zenml)'s community is our driving force! ZenML is a MLOps framework to create reproducible ML pipelines for production machine learning use-cases. As a Developer Advocate / 'Tech Evangelist', you will help us fulfil our mission... - Source: Hacker News / over 2 years ago
  • [P] ZenML: An extensible, open-source framework to create reproducible machine learning pipelines
    GitHub: https://github.com/zenml-io/zenml (A star would be appreciated!). Source: over 2 years ago
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datagran mentions (0)

We have not tracked any mentions of datagran yet. Tracking of datagran recommendations started around Mar 2021.

What are some alternatives?

When comparing ZenML and datagran, you can also consider the following products

Attri - Attri helps companies become AI-first organizations with research in the AI field, designing and applying AI processes, platforms, and solutions for success.

Conduit - Your data-driven AI chief of staff

Katonic MLOps Platform - Scale your machine learning development from research to production with an end-to-end solution that gives your data science team all the tools they need in one place.​​

Ploomber - Ploomber is an open-source framework that helps data scientists quickly deploy the code they develop in interactive environments (Jupyter, VScode, PyCharm, etc.), eliminating the need for time-consuming manual porting to production platforms.

PrimeHub - PrimeHub provides a ready-to-use research and training environment for data scientists to focus on their true productivity in a collaborative environment.

Luper - Remember to stay in touch, your personal CRM