marker
Joplin
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marker | Joplin | |
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8 | 771 | |
7,947 | 42,770 | |
- | - | |
8.0 | 9.9 | |
16 days ago | 4 days ago | |
Python | TypeScript | |
GNU General Public License v3.0 only | 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.
marker
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LlamaCloud and LlamaParse
You may want to try https://github.com/VikParuchuri/surya (I'm the author). I've only benchmarked against tesseract, but it outperforms it by a lot (benchmarks in repo). Happy to discuss.
You could also try https://github.com/VikParuchuri/marker for general PDF parsing (I'm also the author) - it seems like you're more focused on tables.
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Show HN: Texify – OCR math images to LaTeX and Markdown
Hi HN - I made texify to convert equations to markdown/LaTeX for my project marker [1] then realized it could be generally useful.
Texify converts equations and surrounding text to Markdown, with embedded LaTeX (MathJax compatible).
You can either use a GUI to select equations (inline or block) from PDFs and images to convert, or use the CLI to batch convert images. It works on CPU, GPU, or MPS (Mac).
The closest open source comparisons are pix2tex and nougat - marker is more accurate than both of them for this task. However, nougat is more for entire pages, and pix2tex is more for block equations (not inline equations and text).
I trained texify for 2 days on 4x A6000 GPUs - I was pleasantly surprised how far I could get with limited GPU resources by reframing the problem to use small parameter counts/images.
Texify is licensed for commercial use, with the weights under CC-BY-SA 4.0. Fine them here - https://huggingface.co/vikp/texify .
See the texify repo for more details, benchmarks, how to install, etc.
[1] https://github.com/VikParuchuri/marker
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Show HN: Talk to any ArXiv paper just by changing the URL
https://github.com/VikParuchuri/marker
Both are tools to convert pdfs into Latex or Markup with latex formulas. Maybe that helps
- FLaNK Stack Weekly 11 Dec 2023
- Marker: Convert PDF to Markdown quickly with high accuracy
- FLaNK Stack for 04 December 2023
Joplin
- Ask HN: What is your approach for managing personal digital assets?
- Joplin is an open source note-taking app
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My productivity app is a never-ending .txt file
I've had great success with using Joplin for this, with Syncthing as a sync backend. Works well across OSes; I use it on Linux, macOS, Windows and Android.
https://joplinapp.org/
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Why I Like Obsidian
The tools to manipulate SQL aren't that bad, no.
But rather than having a self explanatory markdown & flat file, now I have to start learning about the schema & making specific tools (in my preferred language) for manipulating Joplin's schema.
Suddenly I'm digging through 20 different technic specs to decode what data is where, how it works, and what I can do to it. Want to edit history? This is the best help you'll get, pray it's adequately technical to expedite you to your purpose: https://github.com/laurent22/joplin/blob/dev/readme/dev/spec...
As I began with, I struggle to imagine anything that generates anywhere near as much user agency as flat files and markdown. Having boring common data & systems lets me apply portable skills I already have, rather than having to skill up in some particular product's own ecosystem.
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IAC sold 17 apps to Bending Spoons. $100M deal, all 330 employees fired
Joplin is a good open source option too, feels more like the original Evernote in terms of UI/UX https://github.com/laurent22/joplin/
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Ask HN: What do you use for note-taking or as knowledge base?
Joplin, an open source, extendable, Markdown-based hierarchical note-taking app: https://joplinapp.org/
It lets you choose a synchronization backend, offers applications for every major desktop and mobile OS (also has a terminal version). You can create notebooks and subnotebooks to organize your notes. You can also add tags for better search experience. I created notebooks for specific domains (work-related, home improvement, etc.) and also keep a "temp" for quick notes and W.I.P. snippets.
Its only con that it uses Electron on desktop which causes relatively slow start of the application.
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Joplin VS Einwurf - a user suggested alternative
2 projects | 20 Dec 2023
- PSA to Evernote Free users: 2 similar FREE apps to migrate to (I hope this post can end these questions so we can leave this sub's users in peace!)
- Evernote alternatives?
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Evernote Pre Mortem
done
What are some alternatives?
voyager - 🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
Trilium Notes - Build your personal knowledge base with Trilium Notes
llmsherpa - Developer APIs to Accelerate LLM Projects
obsidian - GraphQL, built for Deno - a native GraphQL caching client and server module
PyMuPDF - PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
notesnook - A fully open source & end-to-end encrypted note taking alternative to Evernote.
node-gtk - GTK+ bindings for NodeJS (via GObject introspection)
Boostnote - This repository is outdated and new Boost Note app is available! We've launched a new Boost Note app which supports real-time collaborative writing. https://github.com/BoostIO/BoostNote-App
FLiPStackWeekly - FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...
logseq - A local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base. Use it to organize your todo list, to write your journals, or to record your unique life.
langchain4j - Java version of LangChain
QOwnNotes - QOwnNotes is a plain-text file notepad and todo-list manager with Markdown support and Nextcloud / ownCloud integration.