Flycut
zsv
Flycut | zsv | |
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13 | 25 | |
2,381 | 171 | |
- | - | |
0.0 | 7.5 | |
over 1 year ago | 17 days ago | |
Objective-C | C | |
MIT License | MIT License |
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Flycut
- Ask HN: macOS apps/utils you can’t live without?
- What are the not-so-obvious tools that you don't want to miss?
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- Ask HN: Must have tools for a new MacBook
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Is there a MacBook Pro app that I can just (1)copy (2)copy (3)copy and then say I want to paste (1). I select on the area to be pasted and press the up arrow to scroll through my copies (3)(2)(1)etc….. just like the up arrow in VScode terminal scrolls through previous inputs???
I’ve used flycut and thought it was good https://github.com/TermiT/Flycut
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[May Update] Wasp - language for developing full-stack JS apps with no boilerplate
*Flycut *- clean and simple clipboard for Mac - if you ever needed to copy/paste a bunch of things over and over, you know how annoying it is to lose the previous item from your clipboard. Well, never again - with this nifty tool that saves your clipboard history you'll boost your productivity and also become a better person (since you'll be cursing less).
- Maccy is an open source lightweight and searchable clipboard manager for macOS
- [question] Flycut clipboard Vs Maccy clipboard : lightweight , efficient cpu ram , mac friendly
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Alternative to Paste with IOS APP
Flycut? https://github.com/TermiT/Flycut
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Best Clipboard Apps for Developers
Flycut is a clean and simple free open source clipboard app for macOS and iOS that is based on Jumpcut, a minimal clipboard manager for macOS. Flycut was designed with developers in mind, and its main focus is on code snippets. For this reason, it comes with many hot keys and keyboard shortcuts, which can be customized according to your needs in the preferences panel. On the other hand, Flycut allows you to store only text snippets. This means that images, videos, and tables are currently not supported. It also neither supports Windows nor offers specific integrations for the most common IDEs and text editors. Although Flycut does not come with cloud features natively, you can configure it to sync with your Dropbox account. This way, you can store your clipboard history in an external cloud service and then access it from wherever you want. When Flycut is launched, its icon appears in your menu bar. Every time you copy a text snippet, Flycut stores it in history for you. Using Shift + Command + V, you can access the history and navigate with the right or left arrows to select the item to paste. More advanced search features, as well as ways to organize your clippings, are currently unavailable.
zsv
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Analyzing multi-gigabyte JSON files locally
If it could be tabular in nature, maybe convert to sqlite3 so you can make use of indexing, or CSV to make use of high-performance tools like xsv or zsv (the latter of which I'm an author).
https://github.com/BurntSushi/xsv
https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql...
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Show HN: Up to 100x Faster FastAPI with simdjson and io_uring on Linux 5.19
Parsing CSV doesn't have to be slow if you use something like xsv or zsv (https://github.com/liquidaty/zsv) (disclaimer: I'm an author). The speed of CSV parsers is fast enough that unless you are doing something ultra-trivial such as "count rows", your bottleneck will be elsewhere.
The benefits of CSV are:
- human readable
- does not need to be typed (sometimes, data in the raw such as date-formatted data is not amenable to typing without introducing a pre-processing layer that gets you further from the original data)
- accessible to anyone: you don't need to be a data person to dbl-click and open in Excel or similar
The main drawback is that if your data is already typed, CSV does not communicate what the type is. You can alleviate this through various approaches such as is described at https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql..., though I wouldn't disagree that if you can be assured that your starting data conforms to non-text data types, there are probably better formats than CSV.
The main benefit of Arrow, IMHO, is less as a format for transmitting / communicating but rather as a format for data at rest, that would benefit from having higher performance column-based read and compression
- Yq is a portable yq: command-line YAML, JSON, XML, CSV and properties processor
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csvkit: Command-line tools for working with CSV
I wanted so much to use csvkit and all the features it had, but its horrendous performance made it unscalable and therefore the more I used it, the more technical debt I accumulated.
This was one of the reasons I wrote zsv (https://github.com/liquidaty/zsv). Maybe csvkit could incorporate the zsv engine and we could get the best of both worlds?
Examples (using majestic million csv):
---
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Show HN: Split CSV into multiple files to avoid the Excel's 1M row limitation
}
```
This of course assumes that each line is a single record, so you'll need some preprocessing if your CSV might contain embedded line-ends. For the preprocessing, you can use something like the `2tsv` command of https://github.com/liquidaty/zsv (disclaimer: I'm its author), which converts CSV to TSV and replaces newline with \n.
You can also use something like `xsv split` (see https://lib.rs/crates/xsv) which frankly is probably your best option as of today (though zsv will be getting its own shard command soon)
- Run SQL on CSV, Parquet, JSON, Arrow, Unix Pipes and Google Sheet
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Ask HN: Best way to find help creating technical doc (open- or closed-source)?
Am looking for one-time help creating documentation (e.g. man pages, tutorials) for open source project (e.g. https://github.com/liquidaty/zsv) as well as product documentation for commercial products, but not enough need for a full-time job. Requires familiarity with, for lack of better term, data janitorial work, and preferably with methods of auto-generating documentation. Any suggestions as to forums or other ways to find folks who might fit the bill for ad-hoc or part-time work of this nature?
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Q – Run SQL Directly on CSV or TSV Files
Nice work. I am a fan of tools like this and look forward to giving this a try.
However, in my first attempted query (version 3.1.6 on MacOS), I ran into significant performance limitations and more importantly, it did not give correct output.
In particular, running on a narrow table with 1mm rows (the same one used in the xsv examples) using the command "select country, count() from worldcitiespop_mil.csv group by country" takes 12 seconds just to get an incorrect error 'no such column: country'.
using sqlite3, it takes two seconds or so to load, and less than a second to run, and gives me the correct result.
Using https://github.com/liquidaty/zsv (disclaimer, I'm one of its authors), I get the correct results in 0.95 seconds with the one-liner `zsv sql 'select country, count() from data group by country' worldcitiespop_mil.csv`.
I look forward to trying it again sometime soon
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A Trillion Prices
All this banter arguing over CSV, JSON, sqlite seems unnecessary when you can just push format X through a pipe and get whichever format Y you want back out: https://github.com/liquidaty/zsv/blob/main/docs/csv_json_sql...
(disclaimer: I'm one of the zsv authors)
What are some alternatives?
Maccy - Lightweight clipboard manager for macOS
visidata - A terminal spreadsheet multitool for discovering and arranging data
Clipy - Clipboard extension app for macOS.
duckdb - DuckDB is an in-process SQL OLAP Database Management System
CopyQ - Clipboard manager with advanced features
lnav - Log file navigator
use-clippy - React Hook for reading from and writing to the user's clipboard.
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
Ditto - Ditto is an extension to the Windows Clipboard. You copy something to the Clipboard and Ditto takes what you copied and stores it in a database to retrieve at a later time.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
Pasteboard-Viewer - 📋 Inspect the system pasteboards on macOS
nio - Low Overhead Numerical/Native IO library & tools