Opensource Findings
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Links and concise reviews on open-source tools, news, and talks about language-design, trends and fundamentals. Write-only.

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​​git-fame: pretty-print git repository collaborators sorted by contributions.

Fast #python event-sourcing library using Redis and Mongo.

Jamboree Library Is Split In Two Parts:

1. Jamboree Event Sourcing
2. Object Handler

The Jamboree object is rather simple. It only saves, reads, and deletes records in both redis and mongodb. Redis to give it fast read times, mongodb as backup to the data. Handlers have very explicit storage procedures that interact with the Jamboree object. A good example is the code below.

The idea is straightforward:

1. We create a Jamboree object. The Jamboree object manages connections to databases at a high speed and low latency.
2. After we create the Handler object, and set the limit (max number of records we want to look at), we start adding records until we stop. At the end, we get the amount of time it took to push the records.
3. Periodically, we do a small calculation to older information prior to adding a record.
​​Domo is an #elixir library to model a business domain with type-safe structs and composable tagged tuples.

It's a library to define what piece of data is what and make a dialyzer and run-time type verification to cover one's back, reminding about taken definitions.

The library aims for two goals:

-to allow a business domain entity's valid states with a struct of fields of generic and tagged types
- to automatically verify that the construction of the entity's struct leads to one of the allowed valid states only

The validation of the incoming data is on the author of the concrete application. The library can only ensure the consistent assembly of that valid data into structs according to given definitions throughout the app.

Both ids for User and Order structs are of the integer type. How to ensure that we don't mix them up throughout the various execution paths in the application? One way to do that is to attach an appropriate tag to each of the ids with tagged tuple like the following:
​​This #zsh plugin provides functionality similar to Vim's abbreviation expansion.

​​A wrapper around the #php Laravel Pipeline class with a few additional niceties

After using Laravel Pipelines to handle complex data flows in our projects we saw a few patterns emerge:

- Database transactions
- Pipe interface
- Responses and exception handling

This package adds niceties on top of the Laravel Pipeline and consolidates them into a single reusable location.

Looks very close to what we have in dry-python/returns!

A pipeline is a common pattern for breaking data, logic, and response/exceptions into three distinct elements. Zaengle Pipeline abstracts these parts into helpful classes and gives some structure to the underlying pattern. For example, let's explore at what a pipeline might look like for a ficticious user registration:
​​Foam is a personal knowledge management and sharing system, built on Visual Studio Code and GitHub.

You can use Foam for organising your research, keeping re-discoverable notes, writing long-form content and, optionally, publishing it to the web. Foam is extremely extensible to suit your personal workflow. You own the information you create with Foam, and you’re free to share it, and collaborate on it with anyone you want.


- The editing experience of Foam is powered by VS Code, enhanced by workspace settings that glue together Recommended Extensions and preferences optimised for writing and navigating information.
- To back up, collaborate on and share your content between devices, Foam pairs well with GitHub.
- To publish your content, you can set it up to publish to GitHub Pages with zero code and zero config, or to any website hosting platform like Netlify or Vercel.

#ts #docops #vscode
​​A tool for making simple #python GUIs.

Guietta is a tool that makes simple GUIs simple (turns this code):

from guietta import _, Gui, Quit

gui = Gui(

[ 'Enter numbers:', '__a__' , '+' , '__b__', ['Calculate'] ],
[ 'Result: -->' , 'result' , _ , _ , _ ],
[ _ , _ , _ , _ , Quit ]

with gui.Calculate:
gui.result = float(gui.a) + float(gui.b)

Into this GUI:
​​Secretive is an app for storing and managing SSH keys in the Secure Enclave. It is inspired by the sekey project, but rewritten in Swift with no external dependencies and with a handy native management app.

- Safer Storage: The most common setup for SSH keys is just keeping them on disk, guarded by proper permissions. This is fine in most cases, but it's not super hard for malicious users or malware to copy your private key. If you store your keys in the Secure Enclave, it's impossible to export them, by design.

- Access Control: If your Mac has a Secure Enclave, it also has support for strong access controls like Touch ID, or authentication with Apple Watch. You can configure your key so that they require Touch ID (or Watch) authentication before they're accessed.

- Notifications: Secretive also notifies you whenever your keys are acceessed, so you're never caught off guard.

#swift #macos
​​ranger is a console file manager with VI key bindings.

It provides a minimalistic and nice curses interface with a view on the directory hierarchy. It ships with rifle, a file launcher that is good at automatically finding out which program to use for what file type.

For mc aficionados there's also the multi-pane viewmode.

#python #shell
​​Lightweight static analysis for many languages. Find bug variants with patterns that look like source code.

Semgrep is a command-line tool for offline static analysis. Use pre-built or custom rules to enforce code and security standards in your codebase. You can try it now with our interactive live editor.

Semgrep combines the convenient and iterative style of grep with the powerful features of an Abstract Syntax Tree (AST) matcher and limited dataflow. Easily find function calls, class or method definitions, and more without having to understand ASTs or wrestle with regexes.

Supports #python #js #go #java and #c
​​The greenlet package is a spin-off of Stackless, a version of CPython that supports micro-threads called tasklets. Tasklets run pseudo-concurrently (typically in a single or a few OS-level threads) and are synchronized with data exchanges on channels.

A greenlet, on the other hand, is a still more primitive notion of micro-thread with no implicit scheduling; coroutines, in other words. This is useful when you want to control exactly when your code runs. You can build custom scheduled micro-threads on top of greenlet; however, it seems that greenlets are useful on their own as a way to make advanced control flow structures. For example, we can recreate generators; the difference with Python's own generators is that our generators can call nested functions and the nested functions can yield values too. Additionally, you don't need a yield keyword.

Greenlets are provided as a C extension module for the regular unmodified interpreter.

Demo with asyncio:
​​Numl (nude elements) unity of design and code.

Your code is your design system.
Markup language to create modern high-quality interfaces with any look.

- A single language to describe styles and behaviour of your app
- Numl is not bound to the framework and is based on modern web standards, and also uses code generation techniques, which allows you to use the most advanced technologies and practices, as well as update them, updating the design system, rather than rewriting your entire codebase
- Numl can be integrated with vue.js, react, angular, and svelte
- With Numl you will be able to create high-quality web interfaces with the power of a small team of frontend engineers with the middle level of expertise

#js #css
​​Homebrew, but with #docker images.

Whalebrew creates aliases for Docker images so you can run them as if they were native commands. It's like Homebrew, but with Docker images.

Docker works well for packaging up development environments, but there are lots of tools that aren't tied to a particular project: awscli for managing your AWS account, ffmpeg for converting video, wget for downloading files, and so on. Whalebrew makes those things work with Docker, too.

#macos #devops
​​Λrrow is a library for Typed Functional Programming in #kotlin.

Arrow aims to provide a lingua franca of interfaces and abstractions across Kotlin libraries. For this, it includes the most popular data types, type classes and abstractions such as Option, Either, IO, Functor, Applicative, Monad to empower users to write pure FP apps and libraries built atop higher order abstractions.

Arrow is a family of different projects, including:

- Arrow Fx is a next-generation Typed FP Effects Library that makes effectful and polymorphic programming first class in Kotlin, and acts as an extension to the Kotlin native suspend system.
- Arrow Optics offers an Optics DSL to compose different Optics while improving ease of use and readability. To avoid boilerplate, Arrow will generate this property-like DSL using @optics annotation.
- Λrrow Meta is a meta-programming library that cooperates with the Kotlin compiler in all its phases, bringing its full power to the community.
​​Unsynchronize asyncio by using an ambient event loop in a separate #python thread.

- Mark all async functions with @unsync. May also mark regular functions to execute in a separate thread.
- - All @unsync functions, async or not, return an Unfuture

- All Futures must be Unfutures which includes the result of an @unsync function call, or wrapping Unfuture(asyncio.Future) or Unfuture(concurrent.Future). Unfuture combines the behavior of asyncio.Future and concurrent.Future:
- - Unfuture.setvalue is threadsafe unlike asyncio.Future
- - Unfuture instances can be awaited, even if made from concurrent.Future
- - Unfuture.result() is a blocking operation except in unsync.loop/unsync.thread where it behaves like asyncio.Future.result and will throw an exception if the future is not done

- Functions will execute in different contexts:
- -@unsync
async functions will execute in an event loop in unsync.thread
- - @unsync
regular functions will execute in unsync.threadexecutor, a ThreadPoolExecutor
- - @unsync(cpubound=True) regular functions will execute in unsync.processexecutor, a ProcessPoolExecutor
​​A cross-platform, customizable science fiction terminal emulator with advanced monitoring & touchscreen support.

Heavily inspired from the TRON Legacy movie effects (especially the Board Room sequence), the eDEX-UI project was originally meant to be "DEX-UI with less « art » and more « distributable software »". While keeping a futuristic look and feel, it strives to maintain a certain level of functionality and to be usable in real-life scenarios, with the larger goal of bringing science-fiction UXs to the mainstream.

It might or might not be a joke taken too seriously.

- Fully featured terminal emulator with tabs, colors, mouse events, and support for curses and curses-like applications.
- Real-time system (CPU, RAM, swap, processes) and network (GeoIP, active connections, transfer rates) monitoring.
- Full support for touch-enabled displays, including an on-screen keyboard.
- Directory viewer that follows the CWD (current working directory) of the terminal.
- Advanced customization using themes, on-screen keyboard layouts, CSS injections.
- Optional sound effects made by a talented sound designer for maximum hollywood hacking vibe.

​​Fundoc - the right way to generate documentation.

A business feature in your project may be implemented in separated files and even in different technologies. Fundoc can merge all descriptions about business features and put in appropriate files.

Fundoc's main goals:
- Allow you to keep all your documentation along with your code. Separating documentation from code makes it harder to support.
- Use same versioning tools for your documentation as for your code. All versions of your documentation should match versions of source code otherwise we can't trust this documentation.
- A documentation generator should allow you to write your doc-fragments in different kinds of files like source code files (Rust, C++, TypeScript, Java, JavaScript, Ruby, Python, etc), specification files (Alloy, TLA+, etc), stylesheet files (CSS, SCSS, QT Stylesheets, etc), configs (JSON, TOML, YAML, etc).

#docops #rust
​​Query #git repositories with SQL. Uses SQLite virtual tables and go-git.

gitqlite is a tool for running SQL queries on git repositories. It implements SQLite virtual tables and uses go-git. It's meant for ad-hoc querying of git repositories on disk through a common interface (SQL), as an alternative to patching together various shell commands.

​​mailgo: a new concept of mailto and tel links.

Instead of only triggering the default email or phone apps when selecting a mailto or tel link on your website, “mailgo” provides a modal with more options such as “Open in Gmail”, “Open in Outlook”, etc.

This will extra functionality will be less important on mobile now that Apple is letting us change our default clients in iOS 14 (so that the default app would already be set to Gmail, for example), but you may find it helpful for your users anyhow. 4.96 KB cheap.

#js #html