zephyrus-sc2-parser
flyctl
zephyrus-sc2-parser | flyctl | |
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6 | 545 | |
37 | 1,314 | |
- | 1.4% | |
0.0 | 9.9 | |
12 months ago | 1 day ago | |
Python | Go | |
MIT License | Apache License 2.0 |
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zephyrus-sc2-parser
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Show HN: Rust nom parsing Starcraft2 Replays into Arrow for Polars data analysis
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).
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Tools for analyzing the meta: build play rate, build win rate and build trees
There is the sc2reader parser which has been around for a while, and I also have a Python parser.
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Predicting Match Win Probability using Game Statistics
Check out this guy's work, he tracks a lot of details. https://app.zephyrus.gg/login https://github.com/ZephyrBlu/zephyrus-sc2-parser
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How to get first job as swe: two cents from an "experienced" FANG engineer
This is one of the projects I've been working on for over a year: https://github.com/ZephyrBlu/zephyrus-sc2-parser.
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I Will Be Your Personal SC2 Analyst for $10
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:
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Statistics about IEM Katowice 2021
This is the parser: https://github.com/ZephyrBlu/zephyrus-sc2-parser
flyctl
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How to deploy a nestjs back-end from a mono repo on fly.io
To begin visit fly.io to create an account. Next install flyctl a command line tool for creating and deploying fly apps. macOS
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Getting started with Open SaaS
For frontend deployment, I used Netlify (for the generous free package) and the recommended fly.io for server + database (also cheap package).
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Breaking the Myth: Scalable, Multi-Region, Low-Latency App Exists And Will Not Cost You A Kidney.
Create an account on Fly.io.
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How to use fly.io and Tigris to deploy a Next.js app
You can learn more about fly.io and tigris, we will need to create an account on both platforms for this project regardless. Anyway with the theory out of the way let's get started in the next section as we create our accounts and start building the app.
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Set up your own personal browser in the Cloud
Fly.io is a platform that helps you run your apps and databases closer to your users all around the world. It takes your app code, packages it up neatly, and puts it on virtual machines that can be quickly started or stopped. This makes your app faster for users and more reliable. Fly.io is easy to use, works well for small projects or personal apps. It's a great way to make sure your app runs smoothly for people no matter where they are.
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NoSQL Postgres: Add MongoDB compatibility to your Supabase projects with FerretDB
In this post, we'll start from scratch, running FerretDB locally via Docker, trying out the connection with mongosh and the MongoDB Node.js client, and finally deploy FerretDB to Fly.io for a production ready set up.
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Free tools for developers to build their apps
2- fly.io
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Top 5 Ways To Host Your Full-Stack App For Free 🚀✨
Fly is a cloud platform that focuses on global edge computing. Fly specializes in high-performance hosting and provides a global network of edge locations. Fly is known for its scalability and performance optimizations.
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Tech stack used for SaaS
But videototextai.com is built using NextJS + Firebase auth + Firestore and a backend deployed at fly.io . Fly makes it really easy to deploy docker containers and that is IMO the fastest way to develop, you can setup a local setup
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Is it still worth choosing Heroku in 2023?
Alternatives explored: * northflank: While running the wrk test, requests were taking 3-7 seconds. Couldn't repeat Heroku's phenomenon of "400ms-800ms" during such a load test. * fly.io: Reliability: It’s Not Great * render.com: I remember the time when indiehackers.com was down because of an outage on Render, not sure if it's worth trusting.
What are some alternatives?
s2protocol-rs - Starcraft 2 Protocol Replay Reader
vercel - Develop. Preview. Ship.
mpq - Decoder/parser of Blizzard's MPQ archive file format
supabase - The open source Firebase alternative.
rust-parser
s6-overlay - s6 overlay for containers (includes execline, s6-linux-utils & a custom init)
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.
podman-compose - a script to run docker-compose.yml using podman
s2prot - Decoder/parser of Blizzard's StarCraft II replay file format (*.SC2Replay)
litestream - Streaming replication for SQLite.
SimpleDating - Open-source, free-to-use, non-profit dating application.
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications