Show HN: Brashtag – A notation for writing trees and a parser for it

Description and use

**Brief summary (2‑3 sentences)**
Brashtag is an open‑source library that introduces a concise, human‑readable notation for representing hierarchical tree structures and provides a parser that can turn that notation into usable data structures. The project is positioned as a lightweight tool for quickly prototyping or documenting tree‑like data (e.g., abstract syntax trees, file system layouts, organization charts) without needing a full‑blown DSL or markup language.

**Value proposition**

• **Compact, expressive syntax** – The Brashtag notation lets developers write complex trees in a few lines, making examples, configuration files, or documentation clearer and easier to maintain.
• **Ready‑to‑use parser** – A small, dependency‑light parser converts the notation into native data structures (e.g., JavaScript objects, Python dicts), removing the need to write a custom parser for each project.
• **Low overhead for prototypes** – Because the library is tiny and has no heavy runtime requirements, it can be dropped into a prototype or internal tool with minimal impact on build size or performance.

**Practical adoption path**

| Step | Action | Reason |
|------|--------|--------|
| 1️⃣ | **Review repository** – check the license (MIT/Apache‑style is typical), read the README, and verify that the parser language matches your target platform (Node.js, Python, etc.). | Ensures legal compatibility and that the API fits your stack. |
| 2️⃣ | **Run the test suite** – clone the repo and execute the provided tests to confirm the parser works as advertised on your environment. | Detects any hidden bugs or platform‑specific issues. |
| 3️⃣ | **Prototype integration** – add the package to a sandbox project, write a few sample trees, and feed them through the parser. Observe the generated data structures and performance. | Validates ease‑of‑use and confirms the notation meets your workflow needs. |
| 4️⃣ | **Assess maintenance** – look at commit frequency, open issues, and PR activity. If activity is low, consider forking or pinning a specific version. | Mitigates risk of future breakage or unaddressed security problems. |
| 5️⃣ | **Formalize usage** – if the prototype succeeds, add the dependency to your main codebase, lock the version (e.g., via package-lock.json or requirements.txt), and document the notation in your internal style guide. | Guarantees reproducibility and makes the notation part of your team’s standard tooling. |

**Production readiness** – *Medium*

• **Suitable scenarios**: internal tools, proof‑of‑concepts, documentation generators, or any system where tree data is static or only lightly mutated.
• **Caveats**: the project shows limited activity (few recent commits, sparse issue discussion), so you should lock the version and be prepared to maintain a fork if critical bugs appear.
• **Next steps before production**: perform security vetting, confirm the parser handles edge cases relevant to your data, and establish a fallback or migration plan in case the library becomes unmaintained.

In short, Brashtag offers a neat, low‑cost way to write and parse tree structures, making it a good candidate for early‑stage or internal projects, provided you perform the standard due‑diligence checks and lock the dependency for stability.

Use in a workflow

Show HN: Brashtag – A notation for writing trees and a parser for it may be useful when its README and activity match a concrete workflow.

Limitations and review notes

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.