zenml
Fleet
Our great sponsors
zenml | Fleet | |
---|---|---|
33 | 28 | |
3,657 | 2,132 | |
3.1% | 9.0% | |
9.8 | 10.0 | |
4 days ago | about 8 hours ago | |
Python | Go | |
Apache License 2.0 | MIT/Fleet EE License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
zenml
- FLaNK AI - 01 April 2024
- What are some open-source ML pipeline managers that are easy to use?
-
[P] I reviewed 50+ open-source MLOps tools. Here’s the result
Currently, you can see the integrations we support here and it includes a lot of tools in your list. I also feel I agree with your categorization (it is exactly the categorization we use in our docs pretty much). Perhaps one thing missing might be feature stores but that is a minor thing in the bigger picture.
-
[P] ZenML: Build vendor-agnostic, production-ready MLOps pipelines
GitHub: https://github.com/zenml-io/zenml
- Show HN: ZenML – Portable, production-ready MLOps pipelines
-
[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:
-
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.
-
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 the ZenML experience. ZenML is a tool designed for developers and we want to delight them from the moment they land on our web page, to after they start using it on their machines. We would like a consistent design experience across our many touchpoints (including the [landing page](https://zenml.io), the [docs](https://docs.zenml.io), the [blog](https://blog.zenml.io), the [podcast](https://podcast.zenml.io), our social media, the product itself which is a [python package](https://github.com/zenml-io/zenml) etc).
A lot of this job is about communicating complex ideas in a beautiful way. You could be a developer or a non-coding designer, full time or part-time, employee or freelance. We are not so picky about the exact nature of this role. If you feel like you are a visually creative designer, and are willing to get stuck in the details of technical topics like MLOps, we can’t wait to work with you!
Apply here: https://zenml.notion.site/Design-Engineer-m-f-1d1a219f18a341...
-
How to improve your experimentation workflows with MLflow Tracking and ZenML
The best place to see MLflow Tracking and ZenML being used together in a simple use case is our example that showcases the integration. It builds on the quickstart example, but shows how you can add in MLflow to handle the tracking. In order to enable MLflow to track artifacts inside a particular step, all you need is to decorate the step with @enable_mlflow and then to specify what you want logged within the step. Here you can see how this is employed in a model training step that uses the autolog feature I mentioned above:
- ZenML helps data scientists work across the full stack
Fleet
-
Osquery: An sqlite3 virtual table exposing operating system data to SQL
Yo! We're working on the fix. You can track progress here: https://github.com/fleetdm/fleet/issues/17165
-
Acquisitions lead to struggles for Windows and Linux device management
Disclosure #2: I'm the CEO
One of my fav things about this is that we're solving the "Linux MDM problem". As a person who likes to use Linux, it's exciting that, no matter how big the company gets, I can still use whatever OS I want at work (and still be "offboard-able", with everyone passing their audits.)
Source code for Fleet is available at https://github.com/fleetdm/fleet.
-
HashiCorp switching to BSL shows a need for open charter companies
It is indeed early stage. The oldest company is Fleet https://fleetdm.com/ who do open source device management and raised at $100m post in 2022 https://techcrunch.com/2022/04/28/fleet-nabs-20m-to-enable-e...
-
OpenSource Mobile Device Management
Thanks for clarifying. You may want to look into Fleet at the link below. The intent of the question wasn't to voice an opinion but to determine if any opensource solutions that cost more to support via self-hosting would incur more costs than Intune licenses if it's only for one customer.
-
Anyone using Fleet? Thoughts?
Looking at Fleet for managing primarily Mac-based environments.
- What does /r/sysadmin think of Action1
-
Docker Compose Examples
* https://github.com/fleetdm/fleet
Supposedly, One can search github using `language:typescript filename:docker-compose.yml stars:>1000` but it's not working for me somehow.
-
Tool that let you know see EXE file on multiple PC?
Osquery + Fleet. https://osquery.io/ https://fleetdm.com/, using the two allows you to build a query to answer what ever questions you (or an auditor) might have about your environment.
-
VSCode remote code execution advisory
Also see Fleet (https://fleetdm.com/) for an open source self-hosted solution. I'm currently using this at a small company to query / enforce policies across a bunch of Windows laptops.
- Software Inventory for Linux Servers
What are some alternatives?
MLflow - Open source platform for the machine learning lifecycle
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
fleet - A flexible control server for osquery fleets
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
sourcegraph - Code AI platform with Code Search & Cody
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
kubequery - kubequery powered by Osquery
Poetry - Python packaging and dependency management made easy
Tailwind CSS - A utility-first CSS framework for rapid UI development.
pulsechain-testnet
Packer - Packer is a tool for creating identical machine images for multiple platforms from a single source configuration.