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Products that do what Pyrig – A tool that automates project setup and maintenance does
# What is pyrig? pyrig is a package and tool that *rigs up* your project. It scaffolds and initializes a complete, fully configured, installed and working Python project with one command and makes the process of developing and maintaining it more seamless and efficient by automating things like configuration management, CLI generation, testing infrastructure, and more. # Requirements * Python 3.12+ * Git * uv # Quick Start uv init my-project --python 3.12 cd my-project uv add pyrig --dev uv run pyrig init See the [Getting Started…
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2022 · github.com
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2020 · pyrustic.github.io
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Dec 2025 · github.com
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pypipe is a command-line tool for writing data pipelines in Python. When working with data processing in the terminal, I often find myself wanting to pass the output of commands to Python for further processing. In such cases, one can either write one-liners or create regular Python scripts and connect them through pipes. However, using pypipe makes this process more convenient and efficient.
2023 · github.com
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Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically reproduces, root causes and ultimately fixes production bugs as they happen. You can see some of our work on this here - https://news.ycombinator.com/item?id=39528087 As we were building the root-cause phase of our automated debugger, we realized that we developed…
2024 · github.com
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deptry 0.14.0 was just released, bringing significant speed improvements: It is now up to 10 times faster than the previous release! For those unfamiliar with deptry; deptry is a command line tool to check for issues with dependencies in a Python project, such as unused or missing dependencies. GitHub: https://github.com/fpgmaas/deptry For some benchmarks of the new release, see the release notes: https://github.com/fpgmaas/deptry/releases/tag/0.14.0 The performance improvement was achieved by leveraging Rust to parse the AST and extract…
2024 · github.com
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PyTermGUI is a highly modular framework offering most of the features one would expect from a GUI library, such as a mature and open Widget API, animations, mouse support and other goodies, right inside the terminal! The markup language is another great feature of the library, and is used by practically all elements of it. It is based on Rich's implementation, but uses a more concise and easier to humanly parse syntax, while being over 10 times faster at parsing due to a long list of optimizations. There is a full Window Manager API included as well, allowing the user to move, resize and…
2022 · github.com
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Save 30% of dev time - generate tests without writing code
2023
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Hi HN, Trogon is a project to generate a TUI for command line apps. It presents the arguments, options, and switches as a form. Editing the form generates a command line, which you can then run with a keypress. I'm a lover of the command line. But I can recall only a fraction of the switches for most commands I use. I would love it if there was a TUI available for most commands. Trogon currently works with Python and the Click library, but I would like it to cover more of the Python ecosystem and also generate TUIs for apps not written in Python. More information in the repository. Let me…
2023 · github.com
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2025 · github.com
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I believe the best way to learn a language is by doing an in-depth project. This is my first Zig project intended for learning the ropes on publishing a Zig package. It turns out to be quite solid and performant. It might be a bit over-engineered. This little library is packed with the following features: - Building dependency graph from dependency data. - Performing topological sort on the dependency graph. - Generating dependence-free subsets for parallel processing. - Cycle detection and cycle reporting.
2025 · github.com
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I’ve been working on Pyra for the past few months and wanted to start sharing it in public. Right now it’s focused on the core package/project management workflow: Python installs, init, add/remove, lockfiles, env sync, and running commands in the managed env. The bigger thing I’m exploring is whether Python could eventually support a more cohesive toolchain story overall, more in the direction of Bun: not just packaging, but maybe over time testing, tasks, notebooks, and other common workflow tools feeling like one system instead of a bunch of separate pieces. It’s still early,…
Apr 2026 · github.com
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2022 · gitlab.com
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Simple GPT integration to get command line suggestions. Less context switching. Use with care!
2023 · github.com
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Hi everyone, I've made an open-source library for using design by contract (DbC) principles in the Zig programming language. It's called Zig-DbC, and it currently provides the following features: - A simple API to define preconditions, postconditions, and invariants. - Contracts are active in `Debug`, `ReleaseSafe`, and `ReleaseSmall` modes to catch bugs early. - All checks are removed at compile time in `ReleaseFast` mode for zero performance cost. - An optional mode to handle partial state changes in functions that return errors. - Transparent error handling that propagates errors from…
2025
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Hello all, Very excited to share this project with you all! Panoptisch scans your Python file or module to find it's imports (aka dependencies) and recursively does so for all dependencies and sub-dependencies. It then generates a dependency tree in JSON for you to parse and enforce import policies. Supply chain attacks are no joke, and this is one way to transparently analyze your dependencies to see if any malicious imports are taking place. For example, your yaml parser, nor it's sub-dependencies should import socket, or sys. Panoptisch is in early stages, with known limitations (for…
2022 · github.com
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