dud
lowdefy
dud | lowdefy | |
---|---|---|
14 | 49 | |
166 | 2,553 | |
- | 0.7% | |
6.0 | 9.6 | |
5 days ago | 9 days ago | |
Go | JavaScript | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
dud
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Ask HN: How do your ML teams version datasets and models?
I've used DVC in the past and generally liked its approach. That said, I wholeheartedly agree that it's clunky. It does a lot of things implicitly, which can make it hard to reason about. It was also extremely slow for medium-sized dataset (low 10s of GBs).
In response, I created a command-line tool that addresses these issues[0]. To reduce the comparison to an analogy: Dud : DVC :: Flask : Django.
[0]: https://github.com/kevin-hanselman/dud
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๐ ๐พ Oxen.ai - Blazing Fast Unstructured Data Version Control, built in Rust
There is also https://github.com/kevin-hanselman/dud
- Data Version Control
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Tup โ an instrumenting file-based build system
I very much agree with you about DVC's feature creep. The other issue I have with it is speed. DVC has left me scratching my head at its sluggishness many times. Because of these factors, I've been working on an alternative that focuses on simplicity and speed[0]. My tool is often five to ten times faster than DVC[1]. I'd love to hear what you think.
[0]: https://github.com/kevin-hanselman/dud
[1]: https://kevin-hanselman.github.io/dud/benchmarks/
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Non-Obvious Docker Uses
I don't know about replacing Make with Docker, but I use the two together to good effect. One of my favorite hacks is adding a 'docker-%' rule in my Makefile to run make commands in a Docker image[1]. It's a bit mind-bending, and there's a few gotchas, but it works surprisingly well for simple rules.
[1]: https://github.com/kevin-hanselman/dud/blob/e98de8fcdf7ad564...
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Git-annex โ Managing large files with Git
Thanks for sharing your experience. It's non-trivial and surprising behavior like this that drove me to build a custom system[0] myself. When I started researching version control tools for large files, I remember feeling like git-annex and Git LFS were awkwardly bolted onto Git; Git simply wasn't designed for large files. Then I found DVC[1], and its approach rang true for me. However, after using DVC for a year or so, I grew tired of DVC's many puzzling behaviors (most of which are outlined in the README at [0]). In the end, I built the tool I wanted for the job -- one that is exceptionally simple and fast.
[0]: https://github.com/kevin-hanselman/dud
- Alternative to Git LFS or DVC
- Show HN: A small and simple alternative to Git LFS or DVC
- Dud: a lightweight tool for versioning data alongside source code and building data pipelines.
- Dud: a tool for versioning data alongside source code. A faster and simpler alternative to DVC.
lowdefy
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Pkl, a Programming Language for Configuration
I'm really enjoying reading through the docs and the tutorial. We've created Lowdefy, a config web-stack which makes it really simple to build quite advanced web apps. We're writing everything in YAML, but it has it's limitations, specifically when doing config type checking and IDE extensions that go beyond just YAML.
I've been looking for a way to have typed objects in the config to do config suggestions and type checking.. PKL looks like it can do this for us. And with the JSON output we might even be able to get there with minimal effort.
Is there anyone here with some PKL experience that would be willing to answer some technical questions re the use of PKL for more advanced, nested config?
See Lowdefy:
https://lowdefy.com/
https://github.com/lowdefy/lowdefy
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Show HN: Retool AI
Awsome! With Lowdefy we tried to build a low-code framework that works like code. Weโve developed a schema in which to define applications and weโve built all kinds of apps for enterprise customers. Massive, advanced CRM systems, call centre solutions, ticketing systems, a light MRP, all kinds of survey apps and so many dashboards. Even our docs and our website are Lowdefy apps!
Give Lowdefy a try and reach out it you have any questions or want to see what is possible :) (We need to invest a lot more into content and examples, bootstapping is a grind!)
https://github.com/lowdefy/lowdefy
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Launch HN: Refine (YC S23) โ Open-Source Retool for Enterprise
Also add Lowdefy onto the list https://github.com/lowdefy/lowdefy
co-founder here :)
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The Surprising Power of Documentation
100% this. And yes, good documentation takes a lot of investment but it pays off like compound interest. But with that done, it becomes even more important not to pull the carpet for no good reason, you are building a tower and documentation is at the foundation.
Weโve built Lowdefy [1] as an open source project and documented it with all effort, 200 pages of docs. I often forget why or how something works and then jump to the docs. This investment keeps on paying of as we use Lowdefy to build customer apps, new devs in the team typically take less than two week to get up to speed and start making contributions, the sharp ones, just a two or three days.
This year, weโre extended our documentation onto customer apps aswell, with flow diagrams, state machine definitions, detailed field level explication schema definitions, and end user test procedures. The key here for this documentation is detail. It should be easier to reach for the docs and the the answer, than to dive in the code and interpret it.
1 - https://github.com/lowdefy/lowdefy
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how to choose a tech stack for a personal project
https://github.com/lowdefy/lowdefy Co-Founder here.
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Ask HN: What have you built more than twice and wish someone had built for you?
Check out https://lowdefy.com/ they even have a sample survey app as one of their examples.
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Looking for a workflow program, any suggestions?
You can build an app that would do this
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AG Grid Community Roundup July 2022
Lowdefy is a low code tool that uses AG Grid as a block component, allowing you to create apps which render data in AG Grid without a lot of coding knowledge. There is a Lowdefy example using AG Grid here.
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Story of raising VC funding for my open-source project
Shameless plug, also check out Lowdefy - https://github.com/lowdefy/lowdefy
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Show HN: ToolJet 1.2 OSS Retool alternative with realtime multiplayer editing
Iโm also going to jump in here and say try Lowdefy https://github.com/lowdefy/lowdefy - co-founder here.
We take a different angle and believe that low code should still work like code. We focus on a developer first approach.
What are some alternatives?
dvc - ๐ฆ ML Experiments and Data Management with Git
appsmith - Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
scalar - Scalar: A set of tools and extensions for Git to allow very large monorepos to run on Git without a virtualization layer
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes ๐
docker-merge - Docker images as git repositories, so you can merge them.
ToolJet - Low-code platform for building business applications. Connect to databases, cloud storages, GraphQL, API endpoints, Airtable, Google sheets, OpenAI, etc and build apps using drag and drop application builder. Built using JavaScript/TypeScript. ๐
Task - A task runner / simpler Make alternative written in Go
streamlit - Streamlit โ A faster way to build and share data apps.
oxen-release - Lightning fast data version control system for structured and unstructured machine learning datasets. We aim to make versioning datasets as easy as versioning code.
QR-Code-generator - High-quality QR Code generator library in Java, TypeScript/JavaScript, Python, Rust, C++, C.
pachyderm - Data-Centric Pipelines and Data Versioning
authentik - The authentication glue you need.