temporian
kamal
| temporian | kamal | |
|---|---|---|
| 12 | 30 | |
| 629 | 9,062 | |
| 2.6% | 2.9% | |
| 9.8 | 9.3 | |
| 4 days ago | 5 days ago | |
| Python | Ruby | |
| Apache License 2.0 | MIT 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.
temporian
kamal
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My deployment platform is a shell script
Guessing you're talking about https://kamal-deploy.org/ which looks interesting, though I tend to like reconciliation logic based systems ... but often only fired off imperatively with a plan/apply separation. So I shall be having a poke around anyway :)
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How Rails Powers PopaDex for Simplified Financial Planning
Navigating the deployment landscape can be a daunting task for any developer, particularly those going it alone. PopaDex uses Kamal as its deployment solution, due to its straightforward and efficient nature. This tool is designed to facilitate the quick deployment of Rails applications across diverse environments, streamlining what can often be a complicated process. Kamal's appeal lies in its ability to demystify deployment, removing the hurdles commonly associated with Docker and app deployment in general. A couple of the main benefits of Kamal:
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Let's build a screenshot API
Or you can use [https://kamal-deploy.org/] and GitHub actions for automating at least deploys, but there are still will be issues that you will need to solve.
- FLaNK AI for 11 March 2024
- Kamal – Deploy web apps anywhere, from bare metal to cloud VMs
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The Hater's Guide to Kubernetes
For homelab, Docker compose should be enough
For something more production oriented https://github.com/basecamp/kamal
- Kamal – Deploy web apps anywhere
- Kamal: Open-source, zero-downtime deployment with rolling restarts
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Continuous Deployment with GitHub Actions and Kamal
Kamal is a wonderfully simple way to deploy your applications anywhere. It will also be included by default in Rails 8. Kamal is trivial, but I don’t recommend using it on your development machine.
What are some alternatives?
functime - Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.
build-push-action - GitHub Action to build and push Docker images with Buildx
OpenVoice - Instant voice cloning by MyShell.
whisper-plus - WhisperPlus: Advancing Speech-to-Text Processing 🚀
tsflex - Flexible time series feature extraction & processing
Nomad - Nomad is an easy-to-use, flexible, and performant workload orchestrator that can deploy a mix of microservice, batch, containerized, and non-containerized applications. Nomad is easy to operate and scale and has native Consul and Vault integrations.
hamilton - Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
nni - An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Centurion - A mass deployment tool for Docker fleets
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
ssh-agent - GitHub Action to setup `ssh-agent` with a private key