Portainer
Kubernetes
Rancher
Docker
Docker Compose
Apache Karaf
Helm.sh
Google App Engine
neptune.ai
Algorithmia
Comet.ml
Weights & Biases
Managed MLflow
Spell
MCenter
5Analytics
Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.
Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code
Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.
Portainer neptune.aiOnly negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group
Portainer might be a bit more popular than neptune.ai. We know about 34 links to it since March 2021 and only 23 links to neptune.ai. 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.
Portainer is a really great web UI which will help us to manage all our Docker hosts and Docker Swarm clusters very easily. Let's take a look at its interface where it lists all our stacks available in the swarm. - Source: dev.to / 10 months ago
I've installed the container manager from Synology (Docker) and added portainer.io for better access. Source: 11 months ago
There are some docker management systems around, portainer.io seems popular, with a GUI (graphical user interface) and configurable templates. Also cloud management systems/cloud hosting seem to offer a GUI to create and manage containers. Source: about 1 year ago
I am really new to the home lab game. I have been using linux heavily since I got my two pi's and set up docker, portainer.io, pi hole, dashy, etc. The problem I am having is no matter how many ways I try to add a widget as simple as a clock to my dashy it just break the whole page. I enabled highlighting in my nano so I could see any errors but I am still not finding what I am doing wrong. Does anybody have... Source: about 1 year ago
Will be watching you in addition to portainer.io closely. Source: over 1 year ago
Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / about 1 month ago
Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 5 months ago
Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 9 months ago
There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 11 months ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
Rancher - Open Source Platform for Running a Private Container Service
Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Weights & Biases - Developer tools for deep learning research
