fastlane
zsv
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.
fastlane
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Supercharge Your Mobile Dev Skills: 10 Essential Tools for Max Efficiency
Fastlane: For mobile development, Fastlane is an automation tool that can automate the building and releasing of iOS and Android apps.
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Has anyone from LTT talked about how Google Play is killing indie development on it's platform?
The 20 testers closed beta should be very easy to automate through Fastlane and a script, I think https://www.20testers.com/ is already using this, seeing that they say "We run automated tests on 20 separate Google accounts for 14 consecutive days. The testing involves interacting with your app in a human-like manner - pressing buttons, filling in inputs, etc.".
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Quickly build a React Native Project on TestFlight
Fastlane is an open-source platform designed to simplify Android and iOS deployment. It allows you to automate every aspect of your development and release workflow.
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My Flutter Development Toolkit 2023: Daily Apps and Software
Fastlane
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Issue with Fastlane Snapshot taking forever with multiple languages even for one device
The issue with logs and detailed descriptions can be found here: https://github.com/fastlane/fastlane/issues/21385
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Expo features
-> You can use codepush. -> If you like me, you can use fastlane https://fastlane.tools/ -> You can use Expo OTA without use expo too :)
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Build your Capacitor iOS app bundle using GitHub Actions
Building your app using only GitHub Actions is possible, but it's definitely not a straightforward process. There are tools such as Fastlane and of course XCode Cloud that simplifies this process, however my goal was a solution that was not dependent on third party libraries or services.
- Roast my supposedly impressive iOS developer resume
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One click deploy via command line
Yep, MIT licensed FOSS just like Godot itself :)
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Hey guys, just landed a gig as a DevOps release engineer! I'm super stoked but also pretty nervous. Any seasoned vets out there have any tips or advice for a newbie like me? Would love to hear your thoughts!
Fastlane - self-hosted solution for building apps on a "box in the closet".
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):
---
- Ask HN: Programs that saved you 100 hours? (2022 edition)
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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?
Bitrise
visidata - A terminal spreadsheet multitool for discovering and arranging data
react-native-code-push - React Native module for CodePush
duckdb - DuckDB is an in-process SQL OLAP Database Management System
HockeyKit
lnav - Log file navigator
LaunchKit - A set of web-based tools for mobile app developers, now open source!
tsv-utils - eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more.
RubyMotion
ClickHouse - ClickHouse® is a free analytics DBMS for big data
dryrun - :cloud: Try the demo project of any Android Library
nio - Low Overhead Numerical/Native IO library & tools