Pathlab is pathlib for archives, images, etc.

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`pathlib.Path` is Python's object-oriented interface to local filesystem paths, but it was invented too late to be used in modules like `tarfile` and `zipfile`. It also does a lot of magic that makes it hard to extend. I wrote this package to help others write their own subclasses of `pathlib.Path` for any sort of embedded/remote filesystem. I've included built-in support for `zip`, `tar` and `iso` files (inc. SUSP+RR but exc. Joliet+UDF) and JFrog Artifactory. Hopefully it's helpful to someone. Source: https://github.com/barneygale/pathlab Docs: https://pathlab.readthedocs.io Cheers

Visit product View on Hacker NewsFeb 16, 2020

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: filesystem, io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

16%16% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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