sc2reader VS zephyrus-sc2-parser

Compare sc2reader vs zephyrus-sc2-parser and see what are their differences.

sc2reader

Extracts gameplay information from Starcraft II replay files (by ggtracker)
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sc2reader zephyrus-sc2-parser
2 6
136 37
0.0% -
6.3 0.0
4 months ago 12 months ago
Python Python
MIT License MIT License
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sc2reader

Posts with mentions or reviews of sc2reader. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-19.

zephyrus-sc2-parser

Posts with mentions or reviews of zephyrus-sc2-parser. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-04.
  • Show HN: Rust nom parsing Starcraft2 Replays into Arrow for Polars data analysis
    10 projects | news.ycombinator.com | 4 Oct 2023
    This is insanely cool! Very impressed you managed to implement a full parser in Rust.

    I implemented a basic one in Rust a while back: https://github.com/ZephyrBlu/rust-parser

    And a full one in Python with a few bells and whistles ages ago: https://github.com/ZephyrBlu/zephyrus-sc2-parser

    Don't maintain either of them though :(, and the Rust one is super rough.

    SC2 is a very interesting area for data analysis, but at the same time I found it very challenging. There is so much nuance and inconsistency across games it can be really hard to do accurately do things like categorize builds or measure build timings.

    The area I ended up focusing on was builds, and I feel like I did some interesting stuff there: https://sc2.gg/reports/top-openings-2022/.

    I found personal statistics less interesting than aggregate statistics. Even pro games are very volatile, ladder games even more so. Extremely hard to get reliable signal out of them if you're trying to track things across games. Even simple things like Collection Rate are poor indicators without significant categorization work (Matchup, build, opponent build, etc).

  • Tools for analyzing the meta: build play rate, build win rate and build trees
    9 projects | /r/starcraft | 19 Nov 2022
    There is the sc2reader parser which has been around for a while, and I also have a Python parser.
  • Predicting Match Win Probability using Game Statistics
    1 project | /r/starcraft | 22 Oct 2021
    Check out this guy's work, he tracks a lot of details. https://app.zephyrus.gg/login https://github.com/ZephyrBlu/zephyrus-sc2-parser
  • How to get first job as swe: two cents from an "experienced" FANG engineer
    2 projects | /r/cscareerquestions | 22 Apr 2021
    This is one of the projects I've been working on for over a year: https://github.com/ZephyrBlu/zephyrus-sc2-parser.
  • I Will Be Your Personal SC2 Analyst for $10
    1 project | /r/starcraft | 17 Apr 2021
    I love analyzing SC2. I wrote my own replay parser, I created a replay analysis site (FYI this is an old video) and I regularly post graphics of stats/analyses such as:
  • Statistics about IEM Katowice 2021
    1 project | /r/starcraft | 22 Mar 2021
    This is the parser: https://github.com/ZephyrBlu/zephyrus-sc2-parser

What are some alternatives?

When comparing sc2reader and zephyrus-sc2-parser you can also consider the following projects:

sharpy-sc2 - Python framework for rapid development of Starcraft 2 AI bots

s2protocol-rs - Starcraft 2 Protocol Replay Reader

sc2-pulse - The fastest and most reliable ranked ladder tracker for StarCraft2 (Spring Boot app)

mpq - Decoder/parser of Blizzard's MPQ archive file format

rust-parser

pdx-tools - View maps, graphs, and tables of your save and compete in a casual, evergreen leaderboard of EU4 achievement speed runs. Upload and share your save with the world.

s2prot - Decoder/parser of Blizzard's StarCraft II replay file format (*.SC2Replay)

SimpleDating - Open-source, free-to-use, non-profit dating application.

rust - Empowering everyone to build reliable and efficient software.

flyctl - Command line tools for fly.io services

Tims-PackageServer - Lightweight Package Server for WoltLab Community Framework

astro - The web framework for content-driven websites. ⭐️ Star to support our work!