graphtage
arrow
graphtage | arrow | |
---|---|---|
12 | 11 | |
2,320 | 8,555 | |
0.3% | 0.3% | |
8.3 | 4.0 | |
about 2 months ago | 17 days ago | |
Python | Python | |
GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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.
graphtage
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Pijul: Version-Control Post-Git • Goto 2023
I'm not familiar with Pijul, and haven't finished watching this presentation, but IME the problems with modern version control tools is that they still rely on comparing lines of plain text, something we've been doing for decades. Merge conflicts are an issue because our tools are agnostic about the actual content they're tracking.
Instead, the tools should be smarter and work on the level of functions, classes, packages, sentences, paragraphs, or whatever primitive makes sense for the project and file that is being changed. In the case of code bases, they need to be aware of the language and the AST of the program. For binary files, they need to be aware of the file format and its binary structure. This would allow them to show actually meaningful diffs, and minimize the chances of conflicts, and of producing a corrupt file after an automatic merge.
There has been some research in this area, and there are a few semantic diffing tools[1,2,3], but I'm not aware of this being widely used in any VCS.
Nowadays, with all the machine learning advances, the ideal VCS should also use ML to understand the change at a deeper level, and maybe even suggest improvements. If AI can write code for me, it could surely understand what I'm trying to do, and help me so that version control is entirely hands-free, instead of having to fight with it, and be constantly aware of it, as I have to do now.
I just finished watching the presentation, and Pijul seems like an iterative improvement over Git. Nothing jumped out at me like a killer feature that would make me want to give it a try. It might be because the author focuses too much on technical details, instead of taking a step back and rethinking what a modern VCS tool should look like today.
[1]: https://semanticdiff.com/
[2]: https://github.com/trailofbits/graphtage
[3]: https://github.com/GumTreeDiff/gumtree
- graphtage - A semantic diff utility and library for tree-like files such as JSON, JSON5, XML, HTML, YAML, and CSV.
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comparing two jsons element-wise
Vielleicht mal https://github.com/trailofbits/graphtage abchecken
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Hacker News top posts: Feb 27, 2021
Graphtage: A semantic diff utility for JSON, HTML, YAML, CSV, etc\ (42 comments)
- Graphtage: A semantic diff utility for JSON, HTML, YAML, CSV, etc
arrow
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Useful Python Modules for us
pdbpp: Improved pdb boltons: assorted python addtions twisted: event driven networking framework sorcery: Dark magic in python, things know where+how they are being called, helps reducing boilerplate sh: Better alternative for subprocess module, much more pythonic taskipy: npm run scipt_name like functionality snoop: pdb lite, record+replay function steps birdseye: graphical debugger remote-pdb: easy pdb from inside containers typer: wrapper around click for simpler code for CLIs arrow: Always TZ aware datetimes, plus more features more-itertools: more functions for iterators pydantic: data validation + dataclasses loguru: better logging notifiers: sending notifications from python
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What is your favorite ,most underrated 3rd party python module that made your programming 10 times more easier and less code ? so we can also try that out :-) .as a beginner , mine is pyinputplus
Arrow makes dealing with dates and timezones way easier than the built-ins. Years ago I got sick of looking up how to use date types properly for the umpteenth time and found arrow, and now use it all the time.
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Hacker News top posts: Feb 27, 2021
Arrow v1.0: After 8 years, even better dates and times for Python\ (59 comments)
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Arrow 1.0: After 8 years, a new milestone with lots of new features, support for Python 3.6+, typing and much more!
You can also take a look at the parsing formats that Arrow tries to parse: https://github.com/arrow-py/arrow/blob/master/arrow/parser.py#L215
- Arrow v1.0: After 8 years, even better dates and times for Python
- Arrow v1.0: After 8 years, bringing even better dates and times to Python. Support for Python 3.6+, typing and much more!
- Arrow v1.0: After 8 years, a new milestone with a lot of new features
- De Facto Date Library
What are some alternatives?
bit - Bit is a modern Git CLI
Pendulum - Python datetimes made easy
visual-dom-diff - Highlight differences between two DOM trees.
dateutil - Useful extensions to the standard Python datetime features
webdiff - Two-column web-based git difftool
pytz - pytz Python historical timezone library and database
gqlalchemy - GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
Maya - Datetimes for Humans™
GJSON - Get JSON values quickly - JSON parser for Go
delorean - Delorean: Time Travel Made Easy
communities - Library of community detection algorithms and visualization tools
moment - A Python library for dealing with dates