HyperTag
io-ts
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HyperTag | io-ts | |
---|---|---|
12 | 80 | |
180 | 6,593 | |
-0.6% | - | |
4.1 | 4.9 | |
8 days ago | 5 months ago | |
Python | TypeScript | |
GNU General Public License v3.0 or later | 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.
HyperTag
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Pitching your early stage startup
I found a related tool a while back that I've wanted to try and integrate, as soon as I get into the habit of making more notes & such:
https://github.com/Ravn-Tech/HyperTag#overview
I guess my ideal tool would be able to recognize the different "contexts" that I'm in, and build a searchable, tagged timeline of my browsing and googling and work history in each of these contexts. Provide the capability to cross-link with notes in an athens/roam-like fashion and it'd be gold
- HyperTag 0.6.3: Knowledge Management for Humans Using Machine Learning and Tags
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Ask HN: What Are You Working On?
https://github.com/SeanPedersen/HyperTag
HyperTag helps humans intuitively express how they think about their files using tags and machine learning. Represent how you think using tags. Find what you look for using semantic search for your text documents (yes, even PDF's) and images. Instead of introducing proprietary file formats like other existing file organization tools, HyperTag just smoothly layers on top of your existing files without any fuss.
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Foam: A personal knowledge management and sharing system for VSCode
Interesting, I just realized I should market my project as a personal knowledge management system as well. Thanks a bunch!
- Show HN: HyperTag 0.5.0 – Semantic Search for Images Using Text Queries
- HyperTag 0.5.0 - Semantic Search for Images Using Text Queries powered by OpenAI's CLIP model
- HyperTag 0.5.0 - Semantic Search for Images Using Text Queries using OpenAI's CLIP model
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HyperTag 0.4.3 – Introducing Semantic Search for Text Documents (yes, even PDF)
Github Repo: https://github.com/SeanPedersen/HyperTag
- HyperTag 0.4.3 - Introducing Semantic Search for text documents (yes, even PDF's)
io-ts
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TDD
Qué rico. Si tenés chance meté un proceso de code review fuerte, y para el tema de I/O probá a usar https://github.com/Effect-TS/schema ó https://github.com/gcanti/io-ts que les da una solución obvia al tema de "tipos para lo que devuelva el backend", aunque es en realidad mucho más capaz que eso.
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Domain modelling with State Machines and TypeScript by Carlton Upperdine
My fave is still io-ts (https://github.com/gcanti/io-ts/blob/master/docs/index.md) as I find it more flexible than zod at the ingress. The author is also working on the Effect ecosystem which also looks interesting.
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Why I Like Using Maps (and WeakMaps) for Handling DOM Nodes
I’ve been using io-ts for this and been very happy with it. [1] It’s similar to Swift’s Coding protocol in case you’re familiar.
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Can someone recommend a library for data parsing similar to Zod, but with better support for input transformations/preprocessing?
Yeah, there are a few new concepts and it's not the easiest to pick up right away. The best introduction is here on the main documentation page.
- libraries you are happy that you discovered them
- Is React for small projects an Overkill?
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how to strictly type this?
We use https://github.com/gcanti/io-ts/blob/master/Decoder.md which has a very similar interface. It can even be used to mutate the data using https://github.com/gcanti/io-ts/blob/master/Decoder.md#the-parse-combinator.
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Typescript advanced bits: function overloading, never and unknown types
A good way to significantly improve the reliability of your app is via improving type-safety by moving away from using any to unknown. One relevant example could be when you type your backend responses and when stringifying JSON to using unknown combined with some sort of runtime type checking. It can be done either by using built-in functionality like type guards or using an external library like io-ts, zod or yup.
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I found 10,000x faster TypeScript validator library
Usage of TypeBox is similar with io-ts and zod, but it is much powerful and faster than them. Also, TypeBox can generate JSON schema very easily. Therefore, if you're looking for a validator library for new project and not suffering from legacy codes, I think TypeBox would be much better choice than io-ts and zod. TypeBox can totally replace them.
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Validate your data with Zod
This check can be done with different libraries like: io-ts, typebox, or zod. These libraries allow you to create objects that represent your typescript definitions. Then, these objects can be used at runtime to validate the received data, in addition, you can also convert this object to a Typescript definition to have all the benefits of using typescript. These objects can be called schema validations because they are responsible for the data validation.
What are some alternatives?
maplibre-gl-js - MapLibre GL JS - Interactive vector tile maps in WebGL2
zod - TypeScript-first schema validation with static type inference
rnnoise - Recurrent neural network for audio noise reduction
class-validator - Decorator-based property validation for classes.
post-photorec - Tool to auto-organize files recovered by PhotoRec and similar tools.
openapi-generator - OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
procedural-gl-js - Mobile-first 3D mapping engine with emphasis on user experience
runtypes - Runtime validation for static types
notenote.link - A Jekyll digital garden template, optimized for integration with Obsidian. It aims to enhance discoverability and help you build a personal knowledge base that can scale with time.
fp-ts - Functional programming in TypeScript
auto-editor - Auto-Editor: Effort free video editing!
joi - The most powerful data validation library for JS [Moved to: https://github.com/hapijs/joi]