kamal
texify
| kamal | texify | |
|---|---|---|
| 35 | 3 | |
| 9,373 | 615 | |
| 2.7% | - | |
| 9.4 | 5.6 | |
| 8 days ago | 6 days ago | |
| Ruby | Python | |
| MIT License | GNU General Public License v3.0 only |
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.
kamal
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How to deploy a React app with Kamal (formerly known as MRSK) & GitHub Action
I have added a route for Kamal healthcheck as well even though the health-check step has been removed{:target="_blank"} in Kamal 1.6.0.
- Kamal: Deploy Web Apps Anywhere
- piku: The tiniest PaaS you've ever seen
- Kamal
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On the road to ramen profitability 🍜 💸
A 7.1 Ruby on Rails application hosted on a Hetzner VPS and deployed via 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
texify
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Ask HN: Volunteer opportunities in science for software engineers?
[0] : "The Hybrid Artisans: A Case Study in Smart Tools" (2014) : https://amitz.co/ewExternalFiles/ToCHI_FreeD.pdf /
[1] : "Portable, non-invasive, mind-reading AI turns thoughts into text" https://www.eurekalert.org/news-releases/1010811
[2] : https://towardsdatascience.com/how-to-convert-any-text-into-...
[3] : https://github.com/VikParuchuri/texify (Removes the extra brain to hand step in process https://stackoverflow.com/questions/39391080/extracting-hand... and/or make Minority report hand interface obsolete)
[4] : https://wherobots.com/havasu-a-table-format-for-spatial-attr...
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[register] : https://www.theregister.com/2023/12/26/michael_stonebraker_f...
[core1] : magnetic core memory : https://en.wikipedia.org/wiki/Magnetic-core_memory
- FLaNK Weekly 31 December 2023
- Show HN: Texify – OCR math images to LaTeX and Markdown
What are some alternatives?
OpenVoice - Instant voice cloning by MyShell.
generative-ai-python - The official Python library for the Google Gemini API
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.
whisper-plus - WhisperPlus: Faster, Smarter, and More Capable 🚀
build-push-action - GitHub Action to build and push Docker images with Buildx
Centurion - A mass deployment tool for Docker fleets
ssh-agent - GitHub Action to setup `ssh-agent` with a private key
rewrite - Automated mass refactoring of source code.
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
watchtower - A process for automating Docker container base image updates.
LLaMA-Factory - Unify Efficient Fine-Tuning of 100+ LLMs